Dog display device

Abstract

The dog display device includes a display panel including pixels, a dog filter that generates dog image data based on input image data and determines a second blue gradation value of the dog image data by adding a first blue gradation value of the input image data and a correction value, and a display panel drive unit that generates a data voltage based on the dog image data and applies the data voltage to the pixels.

Description

[Technical field]

[0001] The present invention relates to a display device for dogs, and more particularly to a display device for dogs that displays an image taking into account the visual characteristics of dogs. [Background technology]

[0002] Humans have cone cells that function to sense color. Humans have three types of cone cells, each of which is sensitive to a different color of light. For example, human L cone cells are sensitive to colors between yellow and green, M cone cells are sensitive to light between blue-green and blue, and S cone cells are sensitive to colors between blue and purple. Considering these human visual characteristics, display devices have been developed to display various colors by mixing red, green, and blue in appropriate proportions.

[0003] In contrast, dogs have two types of cone cells. Dogs perceive red and green as yellow, and can only distinguish colors by combinations of blue and yellow. Also, unlike humans, dogs can more easily distinguish colors when they are closer to ultraviolet light. In other words, unlike humans, dogs have the highest color sensitivity to blue.

[0004] In this way, the visual characteristics of dogs are different from the visual characteristics of humans, so humans and animals perceive the same image differently. Summary of the Invention [Problem to be solved by the invention]

[0005] An object of the present invention is to provide a display device for dogs that converts input image data into image data that takes into account the visual characteristics of dogs. However, the object of the present invention is not limited to the above-mentioned object, and can be expanded in various ways without departing from the spirit and scope of the present invention. [Means for solving the problem]

[0006] In order to achieve the object of the present invention, a dog display device according to an embodiment of the present invention is characterized by including a display panel including pixels, a dog filter that generates dog image data based on input image data and determines a second blue gradation value of the dog image data by adding a first blue gradation value of the input image data and a correction value, and a display panel driver that generates a data voltage based on the dog image data and applies the data voltage to the pixels.

[0007] In a dog mode, the display panel driving unit activates the dog filter and generates the data voltage based on the dog image data, and in a human mode, the display panel driving unit deactivates the dog filter and generates the data voltage based on the input image data.

[0008] When the first red gradation value of the input image data is greater than 0, the dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value, and when the first red gradation value is 0, the dog filter determines the first blue gradation value as the second blue gradation value.

[0009] The larger the first red gradation value, the larger the correction value. When the first red gradation value of the input image data is greater than the first blue gradation value, the dog filter adds the first blue gradation value and the correction value to determine the second blue gradation value, and when the first red gradation value is smaller than or equal to the first blue gradation value, the dog filter determines the first blue gradation value as the second blue gradation value.

[0010] The correction value increases as the difference between the first red gradation value and the first blue gradation value increases. The dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value when the first red gradation value of the input image data is greater than the first blue gradation value and the first red gradation value is greater than the first green gradation value of the input image data; determines the first blue gradation value as the second blue gradation value when the first red gradation value is greater than the first blue gradation value and is smaller than or equal to the first green gradation value; determines the first blue gradation value as the second blue gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and greater than the first green gradation value; and determines the first blue gradation value as the second blue gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is smaller than or equal to the first green gradation value.

[0011] The dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value when the first red gradation value of the input image data is greater than the first blue gradation value and the first green gradation value of the input image data is greater than the first blue gradation value; determines the first blue gradation value as the second blue gradation value when the first red gradation value is greater than the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value; determines the first blue gradation value as the second blue gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is greater than the first blue gradation value; and determines the first blue gradation value as the second blue gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value.

[0012] The correction value increases as the difference between the first red gradation value and the first blue gradation value increases. The correction value increases as the difference between the first green gradation value and the first blue gradation value increases.

[0013] The correction value increases as the sum of the difference between the first red gradation value and the first blue gradation value and the difference between the first green gradation value and the first blue gradation value increases. When the first green gradation value of the input image data is greater than 0, the dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value, and when the first green gradation value is 0, the dog filter determines the first blue gradation value as the second blue gradation value.

[0014] When the first green gradation value of the input image data is greater than the first blue gradation value, the dog filter adds the first blue gradation value and the correction value to determine the second blue gradation value, and when the first green gradation value is smaller than or equal to the first blue gradation value, the dog filter determines the first blue gradation value by the second blue gradation value.

[0015] The dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value when the first green gradation value of the input image data is greater than the first blue gradation value and the first green gradation value is greater than the first red gradation value of the input image data; determines the first blue gradation value as the second blue gradation value when the first green gradation value is greater than the first blue gradation value and the first green gradation value is smaller than or equal to the first red gradation value; determines the first blue gradation value as the second blue gradation value when the first green gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is greater than the first red gradation value; and determines the first blue gradation value as the second blue gradation value when the first green gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first red gradation value.

[0016] The dog filter converts a first red gradation value in the RGB domain of the input image data into a sensitivity domain that takes into account the visual characteristics of dogs to generate a third red gradation value, converts the first blue gradation value in the RGB domain into the sensitivity domain to generate a third blue gradation value, and converts a first green gradation value in the RGB domain of the input image data into the sensitivity domain to generate a third green gradation value.

[0017] When the third red gradation value is greater than the third blue gradation value, the dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value, and when the third red gradation value is smaller than or equal to the third blue gradation value, the dog filter determines the first blue gradation value as the second blue gradation value.

[0018] The dog filter determines the second blue gradation value by adding the first blue gradation value and the correction value when the third red gradation value is greater than the third blue gradation value and the third red gradation value is greater than the third green gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is greater than the third blue gradation value and the third red gradation value is smaller than or equal to the third green gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is smaller than or equal to the third blue gradation value and the third red gradation value is greater than the third green gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is smaller than or equal to the third blue gradation value and the third red gradation value is smaller than or equal to the third green gradation value.

[0019] The dog filter determines the second blue gradation value by adding the first blue gradation value and the correction value when the third red gradation value is greater than the third blue gradation value and the third green gradation value is greater than the third blue gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is greater than the third blue gradation value and the third green gradation value is smaller than or equal to the third blue gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is greater than the third blue gradation value; determines the first blue gradation value as the second blue gradation value when the third red gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is smaller than or equal to the third blue gradation value.

[0020] When the third green gradation value is greater than the third blue gradation value, the dog filter sums the first blue gradation value and the correction value to determine the second blue gradation value, and when the third green gradation value is smaller than or equal to the third blue gradation value, the dog filter determines the first blue gradation value as the second blue gradation value.

[0021] The dog filter determines the second blue gradation value by adding the first blue gradation value and the correction value when the third green gradation value is greater than the third blue gradation value and the third green gradation value is greater than the third red gradation value; determines the first blue gradation value as the second blue gradation value when the third green gradation value is greater than the third blue gradation value and the third green gradation value is smaller than or equal to the third red gradation value; determines the first blue gradation value as the second blue gradation value when the third green gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is greater than the third red gradation value; determines the first blue gradation value as the second blue gradation value when the third green gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is smaller than or equal to the third red gradation value.

[0022] In order to achieve another object of the present invention, the dog display device according to the present invention is characterized in that it includes a display panel including pixels, a dog filter that generates dog image data based on input image data and determines a second red gradation value of the dog image data by subtracting a correction value from a first red gradation value of the input image data, and a display panel driving unit that generates a data voltage based on the dog image data and applies the data voltage to the pixels.

[0023] When the first red gradation value is greater than 0, the dog filter subtracts the correction value from the first red gradation value to determine the second red gradation value, and when the first red gradation value is 0, the dog filter determines the first red gradation value as the second red gradation value.

[0024] When the first red gradation value is greater than the first blue gradation value of the input image data, the dog filter subtracts the correction value from the first red gradation value to determine the second red gradation value, and when the first red gradation value is smaller than or equal to the first blue gradation value, the dog filter determines the first red gradation value as the second red gradation value.

[0025] The dog filter determines the second red gradation value by subtracting the correction value from the first red gradation value when the first red gradation value is greater than the first blue gradation value of the input image data and the first red gradation value is greater than the first green gradation value of the input image data; determines the first red gradation value as the second red gradation value when the first red gradation value is greater than the first blue gradation value and the first red gradation value is smaller than or equal to the first green gradation value; determines the first red gradation value as the second red gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is greater than the first green gradation value; and determines the first red gradation value as the second red gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is smaller than or equal to the first green gradation value.

[0026] The dog filter subtracts the correction value from the first red gradation value to determine the second red gradation value when the first red gradation value is greater than the first blue gradation value of the input image data and the first green gradation value of the input image data is greater than the first blue gradation value; determines the first red gradation value as the second red gradation value when the first red gradation value is greater than the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value; determines the first red gradation value as the second red gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is greater than the first blue gradation value; determines the first red gradation value as the second red gradation value when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value.

[0027] In order to achieve yet another object of the present invention, the dog display device of the present invention is characterized by including a display panel including pixels, a dog filter that generates dog image data based on input image data and determines a second green gradation value of the dog image data by subtracting a correction value from a first green gradation value of the input image data, and a display panel driving unit that generates a data voltage based on the dog image data and applies the data voltage to the pixels.

[0028] In order to achieve another object of the present invention, the dog display device according to the present invention is characterized by including a display panel including pixels, a dog filter that increases the proportion of blue in input image data to generate dog image data, and a display panel driver that generates a data voltage based on the dog image data and applies the data voltage to the pixels.

[0029] The dog filter converts the input image data in the RGB domain into input image data in the HSV domain, expands a blue range of color values ​​of the input image data in the HSV domain and shrinks a red range of color values ​​of the input image data in the HSV domain to generate dog image data in the HSV domain, and generates the dog image data in the RGB domain based on the dog image data in the HSV domain.

[0030] Furthermore, in order to achieve another object of the present invention, the dog display device according to the present invention is characterized in that it includes a display panel including pixels, a dog filter that generates dog image data by increasing the difference in luminance between the red region and the green region of input image data, and a display panel driving unit that generates a data voltage based on the dog image data and applies the data voltage to the pixels. Effect of the Invention

[0031] The dog display device according to the present invention includes a dog filter that generates dog image data based on input image data, and determines a second blue gradation value of the dog image data by adding a first blue gradation value of the input image data and a correction value, thereby increasing the proportion of blue in the displayed image.

[0032] The dog display device according to the present invention includes a dog filter that generates dog image data based on input image data, subtracts a correction value from a first red gradation value of the input image data, and determines a second red gradation value of the dog image data, thereby reducing the proportion of red in the displayed image.

[0033] The dog display device according to the present invention includes a dog filter that generates dog image data based on input image data, subtracts a correction value from a first green gradation value of the input image data, and determines a second green gradation value of the dog image data, thereby reducing the proportion of green in the displayed image.

[0034] The display device for dogs according to the present invention can increase the proportion of blue, decrease the proportion of red, or decrease the proportion of green, thereby increasing the proportion of blue that dogs can distinguish relatively well in their vision, and decreasing the proportion of yellow (i.e., the proportion of red and green) that dogs have difficulty distinguishing, thereby converting input image data into image data that takes into account the visual characteristics of dogs.

[0035] The display device for dogs according to the present invention increases the difference in luminance between the red region and the green region of the input image data, so that the red image and the green image can be distinguished based on the difference in luminance, thereby enabling dogs that have difficulty distinguishing between red and green to distinguish between red and green images.

[0036] However, the effects of the present invention are not limited to the above-mentioned effects, and can be expanded in various ways without departing from the spirit and scope of the present invention. [Brief description of the drawings]

[0037] [Figure 1a] FIG. 13 is a diagram showing an example in which a display device for dogs is used. [Figure 1b] 1 is a block diagram showing a display device for a dog according to an embodiment of the present invention. FIG. [Diagram 2] 1 is a graph showing color coordinates of a human and a dog. [Figure 3a] FIG. 1c is a conceptual diagram showing an example of a dog filter of the dog display device of FIG. 1b. [Figure 3b] FIG. 3b shows an example of color change caused by the dog filter of FIG. 3a. [Figure 4] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 5a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 5b] FIG. 5b shows an example of color change caused by the dog filter of FIG. 5a. [Figure 6a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 6b] FIG. 6b shows an example of color change caused by the dog filter of FIG. 6a. [Figure 7a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 7b] FIG. 7b shows an example of color change caused by the dog filter of FIG. 7a. [Figure 8a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 8b] FIG. 8b shows an example of color change caused by the dog filter of FIG. 8a. [Figure 9a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 9b] FIG. 9b shows an example of color change caused by the dog filter of FIG. 9a. [Figure 10a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 10b] FIG. 10b shows an example of color change caused by the dog filter of FIG. 10a. [Figure 11] 1 is a graph showing the sensitivity of dogs and humans. [Figure 12] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 13] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 14] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 15] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 16] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 17] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 18] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 19a]FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 19b] FIG. 19b shows an example of color change caused by the dog filter of FIG. 19a. [Figure 20a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 20b] FIG. 20b shows an example of color change caused by the dog filter of FIG. 20a. [Figure 21a] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 21b] FIG. 21b shows an example of color change caused by the dog filter of FIG. 21a. [Figure 22] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 23] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 24] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 25] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 26] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Figure 27] FIG. 27 shows the color coordinates of the dog display devices of FIGS. 19a to 26. [Figure 28a] FIG. 13 is a conceptual diagram showing a dog filter of another dog display device of the present invention. [Figure 28b] FIG. 28b shows an example of color change caused by the dog filter of FIG. 28a. [Figure 29a] FIG. 13 is a conceptual diagram showing a dog filter of another dog display device of the present invention. [Figure 29b] FIG. 29b shows an example of color change caused by the dog filter of FIG. 29a. [Figure 30a] FIG. 13 is a conceptual diagram showing a dog filter of another dog display device of the present invention. [Figure 30b] FIG. 30b shows an example of color change caused by the dog filter of FIG. 30a. [Diagram 31] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 32] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 33] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 34] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 35] FIG. 2 is a conceptual diagram showing a dog filter of the dog display device according to the embodiment of the present invention. [Diagram 36] FIG. 36 shows the color coordinates of the dog display devices of FIGS. 28a to 35. [Figure 37] 5A and 5B are diagrams showing color values ​​of input image data and dog image data of the dog display device according to the embodiment of the present invention. [Figure 38] FIG. 2 is a diagram showing the color luminance of a display device for a dog according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0038] The invention will now be described in more detail with reference to the accompanying drawings. FIG. 1a is a diagram showing an example in which a display device for dogs is used. As shown in Fig. 1a, the dog display device is installed at a position (or height) where the dog can see, and displays an image based on image data that takes into account the visual characteristics of the dog. By displaying an image based on image data that takes into account the visual characteristics of the dog, the dog's concentration on the image is improved. A specific description will be given below.

[0039] FIG. 1b is a block diagram illustrating a dog display device 1000 according to an embodiment of the present invention. As shown in Fig. 1b, the dog display device 1000 includes a display panel 100, a display panel driver 1100, and a dog filter 500. The display panel driver 1100 includes a driver control unit 200, a gate driver 300, and a data driver 400. In one embodiment, the driver control unit 200 and the data driver 400 are integrated into one chip. In one embodiment, the driver control unit 200, the data driver 400, and the dog filter 500 are integrated into one chip.

[0040] In one embodiment, the dog filter 500 is included in the drive control unit 200. In another embodiment, the dog filter 500 is integrated into a chip separate from the drive control unit 200. In yet another embodiment, the dog filter 500 is included in a host processor (e.g., a graphic processing unit (GPU) or the like).

[0041] The display panel 100 includes a display area (AA) for displaying an image, and a peripheral area (PA) disposed adjacent to the display area (AA). In one embodiment, the gate driver 300 is implemented in the peripheral area (PA).

[0042] The display panel 100 includes a plurality of gate lines (GL), a plurality of data lines (DL), and a plurality of pixels (P) electrically connected to the gate lines (GL) and the data lines (DL). The gate lines (GL) extend in a first direction (D1), and the data lines (DL) extend in a second direction (D2) that intersects with the first direction (D1).

[0043] The driving control unit 200 receives input image data (IMG) and an input control signal (CONT) from the host processor. The driving control unit 200 receives dog image data (DIMG) from the dog filter. For example, the driving control unit 200 receives dog image data (DIMG) in dog mode and receives input image data (IMG) in human mode. For example, the display panel driving unit 1100 generates a data voltage based on the dog image data (DIMG) in dog mode and generates a data voltage based on the input image data (IMG) in human mode. For example, the input image data (IMG) and the dog data (DIMG) include red image data, green image data, and blue image data. In one embodiment, the input image data (IMG) and the dog data (DIMG) further include white image data. The input control signal (CONT) includes a master clock signal and a data enable signal. The input control signal (CONT) further includes a vertical synchronization signal and a horizontal synchronization signal.

[0044] In FIG. 1b, the driving control unit 200 is shown receiving the dog image data (DIMG) and the input image data (IMG), but is not limited thereto. For example, the driving control unit 200 can receive the dog image data (DIMG) without the dog mode and the human mode, without receiving the input image data (IMG). In this case, the dog display device 1000 displays an image based only on the dog image data (DIMG). Also, for example, if the driving control unit 200 includes a dog filter 500, the driving control unit 200 receives the input image data (IMG) and does not receive the dog image data (DIMG).

[0045] The drive control unit 200 generates a first control signal (CONT1), a second control signal (CONT2), and output image data (OIMG) based on the input image data (IMG), the dog image data (DIMG), and the input control signal (CONT).

[0046] The driving control unit 200 generates a first control signal (CONT1) for controlling the operation of the gate driver 300 based on the input control signal (CONT), and outputs the first control signal (CONT1) to the gate driver 300. The first control signal (CONT1) includes a vertical start signal and a gate clock signal.

[0047] The driving control unit 200 generates a second control signal (CONT2) for controlling the operation of the data driver 400 based on the input control signal (CONT) and outputs the second control signal (CONT2) to the data driver 400. The second control signal (CONT2) includes a horizontal start signal and a load signal.

[0048] The driving control unit 200 receives the input image data (IMG), the dog image data (DIMG), and the input control signal (CONT) to generate the output image data (OIMG). The driving control unit 200 outputs the output image data (OIMG) to the data driving unit 400.

[0049] The gate driver 300 generates gate signals for driving the gate lines (GL) in response to a first control signal (CONT1) input from the driving control unit 200. The gate driver 300 outputs the gate signals to the gate lines (GL). For example, the gate driver 300 sequentially outputs the gate signals to the gate lines (GL).

[0050] The data driver 400 receives the second control signal (CONT2) and the output image data (OIMG) from the drive control unit 200. The data driver 400 converts the output image data (OIMG) into an analog voltage to generate a data voltage. The data driver 400 outputs the data voltage to the data line (DL).

[0051] Dog filter 500 generates dog image data (DIMG) based on input image data (IMG). Dog image data (DIMG) is image data that takes into account the visual characteristics of dogs. In other words, dog filter 500 converts input image data (IMG) into image data that takes into account the visual characteristics of dogs (i.e., dog image data (DIMG)). A detailed explanation will be given later.

[0052] Figure 2 is a graph showing the color coordinates of a human and a dog. The x-axis of the color coordinates is the percentage of red, the y-axis is the percentage of green, and the numbers shown in the color space (e.g., 460, 480, 500, 520, 540, 560, 580, 600, and 620) represent wavelengths in nm (hereinafter the same applies to all color coordinates).

[0053] As shown in Fig. 2, dogs recognize red and green as yellow, and distinguish colors only by combinations of blue and yellow. The color space displayed by the dog display device 1000 is determined as a first color space (CS1), a second color space (CS2), etc. Hereinafter, Figs. 27 and 36 will be described based on the second color space (CS2).

[0054] Fig. 3a is a conceptual diagram showing an example of the dog filter 500 of the dog display device 1000 in Fig. 1b, and Fig. 3b is a diagram showing an example of color change caused by the dog filter 500 in Fig. 3a. The graph on the left side of Fig. 3b shows the color coordinates of a human being with respect to the input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to the dog image data (DIMG), respectively.

[0055] As shown in FIG. 1b, FIG. 3a, and FIG. 3b, the dog filter 500 generates dog image data (DIMG) based on the input image data (IMG), and determines the second blue gradation value (B') of the dog image data (DIMG) by adding the first blue gradation value (B) of the input image data (IMG) to the correction value. If the first red gradation value (R) of the input image data (IMG) is greater than 0, the dog filter 500 determines the second blue gradation value (B') by adding the first blue gradation value (B) to the correction value, and if the first red gradation value (R) is 0, the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). The larger the first red gradation value (R), the larger the correction value. For example, the correction value is greater than 0.

[0056] Each of the pixels includes a sub-pixel for displaying a red image, a sub-pixel for displaying a blue image, and a sub-pixel for displaying a green image. The display panel driving unit 1100 generates a data voltage to be applied to the sub-pixel for displaying the red image based on the first red gradation value (R) or the second red gradation value (R'), generates a data voltage to be applied to the sub-pixel for displaying the blue image based on the first blue gradation value (B) or the second blue gradation value (B'), and generates a data voltage to be applied to the sub-pixel for displaying the green image based on the first green gradation value (G) or the second green gradation value (G'). For example, the input image data (IMG) includes a first red gradation value (R), a first blue gradation value (B), and a first green gradation value (G) in a range of 0 to 255, and the input image data (DIMG) includes a second red gradation value (R'), a second blue gradation value (B'), and a second green gradation value (G') in a range of 0 to 255. Values ​​ranging from 0 to 255 represent the gray scale to be displayed.

[0057] As mentioned above, dogs distinguish colors only by combinations of blue and yellow (dogs recognize red and green as yellow), and the closer to ultraviolet light, the easier it is to distinguish colors. That is, dogs distinguish colors easily in the blue series. That is, the higher the blue ratio of an image, the easier it is for dogs to distinguish colors. When the first red gradation value (R) is greater than 0, the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first red gradation value (R) is greater than 0, the second blue gradation value (B') is greater than the first blue gradation value (B). That is, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high ratio of blue.

[0058] The correction value is larger as the first red gradation value (R) is larger. The larger the first red gradation value (R), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the first red gradation value (R) is larger.

[0059] Dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is 0. When the first red color gradation value (R) is 0, the proportion of blue color in the input image data (IMG) is already high, so dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') as it is.

[0060] FIG. 4 is a conceptual diagram showing a dog filter 500 of a display device for dogs according to an embodiment of the present invention. The display device for dogs according to this embodiment is similar to the display device for dogs 1000 of FIG. 1b except for the dog filter 500, so the same or similar components are denoted by the same reference numerals and redundant explanations will be omitted.

[0061] As shown in Figures 1b and 4, the dog filter 500 converts the input image data (IMG) into dog perception image data (IMG') that takes into account the visual characteristics of a dog through a conversion table, and corrects the input image data (IMG) based on the difference between the dog perception image data (IMG') and the input image data (IMG) to generate dog image data (DIMG).

[0062] The dog filter 500 applies a predetermined weighting value to the input image data (IMG) through the conversion table to generate the dog recognition image data (IMG'). For example, an image displayed based on the dog recognition image data (IMG`) consists of only blue and yellow. In other words, the dog filter 500 can convert the input image data (IMG) into data for an image that a dog actually recognizes.

[0063] The dog filter 500 corrects the input image data (IMG) based on the difference between the dog recognition image data (IMG') and the input image data (IMG) to generate dog image data (DIMG). For example, the dog filter 500 corrects the input image data (IMG) by the difference. For example, the dog filter 500 corrects the input image data (IMG) by the gradation difference between the dog recognition image data (IMG') and the input image data (IMG).

[0064] Therefore, the dog display device displays an image identical to the image actually perceived by the dog by correcting the input image data by the difference between the data for the image actually perceived by the dog and the input image data.

[0065] Fig. 5a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 5b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 5a. The graph on the left side of Fig. 5b shows the color coordinates of a human being with respect to input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to dog image data (DIMG), respectively.

[0066] The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0067] 1b, 5a and 5b, if the first red gradation value (R) is greater than the first blue gradation value (B), the first blue gradation value (B) and the correction value are added together to determine the second blue gradation value (B'), and if the first red gradation value (R) is less than or equal to the first blue gradation value (B), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the larger the correction value.

[0068] When the first red gradation value (R) is greater than the first blue gradation value (B), the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first red gradation value (R) is greater than the first blue gradation value (B), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0069] The correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger. The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger.

[0070] If the first red gradation value (R) is smaller than or equal to the first blue gradation value (B), dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the first red gradation value (R) is smaller than or equal to the first blue gradation value (B), the proportion of blue in the input image data (IMG) is already high, so dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0071] Fig. 6a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 6b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 6a. The graph on the left side of Fig. 6b shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0072] The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0073] 1b, 6a and 6b, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first red gradation value (R) is greater than the first blue gradation value (B) and the first red gradation value (R) is greater than the first green gradation value (G) for the green image data of the input image data (IMG); The blue gradation value (B) is determined as the second blue gradation value (B'), and if the first red gradation value (R) is smaller than or equal to the first blue gradation value (B) and the first red gradation value (R) is larger than the first green gradation value (G), the first blue gradation value (B) is determined as the second blue gradation value (B'), and if the first red gradation value (R) is smaller than or equal to the first blue gradation value (B) and the first red gradation value (R) is smaller than or equal to the first green gradation value (G), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the larger the correction value.

[0074] When the first red gradation value (R) is greater than the first blue gradation value (B) and the first red gradation value (R) is greater than the first green gradation value (G), the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first red gradation value (R) is greater than the first blue gradation value (B) and the first red gradation value (R) is greater than the first green gradation value (G), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0075] The correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger. The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger.

[0076] The dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is greater than the first blue color gradation value (B) and is smaller than or equal to the first green color gradation value (G); determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is smaller than or equal to the first blue color gradation value (B) and is greater than the first green color gradation value (G); and determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is smaller than or equal to the first blue color gradation value (B) and is smaller than or equal to the first green color gradation value (G). If the first red gradation value (R) is smaller than or equal to the first blue gradation value (B), the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0077] Fig. 7a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 7b is a diagram showing an example of color change caused by the dog filter 500 in Fig. 7a. The graph on the left side of Fig. 7b shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0078] The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0079] 1b, 7a, and 7b, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first red gradation value (R) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first blue gradation value (B); and determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first red gradation value (R) is greater than the first blue gradation value (B) and the first green gradation value (G) is less than or equal to the first blue gradation value (B). If the first red gradation value (R) is smaller than or equal to the first blue gradation value (B) and the first green gradation value (G) is larger than the first blue gradation value (B), the first blue gradation value (B) is determined as the second blue gradation value (B'); if the first red gradation value (R) is smaller than or equal to the first blue gradation value (B) and the first green gradation value (G) is smaller than or equal to the first blue gradation value (B), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the larger the correction value.

[0080] When the first red gradation value (R) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first blue gradation value (B), the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first red gradation value (R) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first blue gradation value (B), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0081] In one embodiment, the correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger. The larger the difference between the first red gradation value (R) and the first blue gradation value (B), the lower the blue ratio of the input image data (IMG). Therefore, the correction value is larger as the difference between the first red gradation value (R) and the first blue gradation value (B) is larger.

[0082] In one embodiment, the correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger. The larger the difference between the first green gradation value (G) and the first blue gradation value (B), the lower the blue ratio of the input image data (IMG). Therefore, the correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger.

[0083] In one embodiment, the correction value is larger as the sum of the difference between the first red gradation value (R) and the first blue gradation value (B) and the difference between the first green gradation value (G) and the first blue gradation value (B) is larger. The larger the difference between the first red gradation value (R) and the first blue gradation value (B) and the difference between the first green gradation value (G) and the first blue gradation value (B) is, the lower the blue ratio of the input image data (IMG). Therefore, the correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger.

[0084] The dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is greater than the first blue color gradation value (B) and the first green color gradation value (G) is less than or equal to the first blue color gradation value (B); determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is less than or equal to the first blue color gradation value (B) and the first green color gradation value (G) is greater than the first blue color gradation value (B); and determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first red color gradation value (R) is less than or equal to the first blue color gradation value (B) and the first green color gradation value (G) is less than or equal to the first blue color gradation value (B). Since dogs perceive red and green as yellow and blue as blue, if either the first red gradation value (R) or the first green gradation value (G) is smaller than or equal to the first blue gradation value, the blue ratio of the input image data (IMG) is already high. Therefore, the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0085] Fig. 8a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 8b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 8a. The graph on the left side of Fig. 8b shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0086] The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0087] As shown in Fig. 1b, Fig. 8a, and Fig. 8b, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first green gradation value (G) is greater than 0, and determines the first blue gradation value (B) as the second blue gradation value (B') when the first green gradation value (G) is 0. The correction value is larger as the first green gradation value (G) is larger. For example, the correction value is larger than 0.

[0088] When the first green gradation value (G) is greater than 0, the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first green gradation value (G) is greater than 0, the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0089] The correction value is larger as the first green gradation value (G) is larger. The larger the first green gradation value (G), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the first green gradation value (G) is larger.

[0090] When the first green gradation value (G) is 0, the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). When the first green gradation value (G) is 0, the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0091] Fig. 9a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 9b is a diagram showing an example of color change caused by the dog filter 500 in Fig. 9a. The graph on the left side of Fig. 9b shows the color coordinates of a human being with respect to the input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to the dog image data (DIMG), respectively.

[0092] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 8a, except for the process of generating dog image data (DIMG), so the same or similar components are given the same drawing symbols and duplicated descriptions are omitted.

[0093] 1b, 9a and 9b, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and a correction value when the first green gradation value (G) is greater than the first blue gradation value (B), and determines the first blue gradation value (B) as the second blue gradation value (B') when the first green gradation value (G) is less than or equal to the first blue gradation value (B). The correction value increases as the difference between the first green gradation value (G) and the first blue gradation value (B) increases.

[0094] When the first green gradation value (G) is greater than the first blue gradation value (B), the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first green gradation value (G) is greater than the first blue gradation value (B), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0095] The correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger. The larger the difference between the first green gradation value (G) and the first blue gradation value (B), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger.

[0096] If the first green gradation value (G) is smaller than or equal to the first blue gradation value (B), the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the first green gradation value (G) is smaller than or equal to the first blue gradation value (B), the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0097] Fig. 10a is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention, and Fig. 10b is a diagram showing an example of color change caused by the dog filter 500 in Fig. 10a. The graph on the left side of Fig. 10b shows the color coordinates of a human being with respect to input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to dog image data (DIMG), respectively.

[0098] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 8a, except for the process of generating dog image data (DIMG), so the same or similar components are given the same drawing symbols and duplicated descriptions are omitted.

[0099] 1b, 10a and 10b, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first green gradation value (G) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first red gradation value (R); and determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the first green gradation value (G) is greater than the first blue gradation value (B) and the first green gradation value (G) is less than or equal to the first red gradation value (R). If the first green gradation value (G) is equal to or smaller than the first blue gradation value (B) and equal to or larger than the first red gradation value (R), the first blue gradation value (B) is determined as the second blue gradation value (B'); if the first green gradation value (G) is equal to or smaller than the first blue gradation value (B) and equal to or smaller than the first red gradation value (R), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the first green gradation value (G) and the first blue gradation value (B) is, the larger the correction value is.

[0100] When the first green gradation value (G) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first red gradation value (R), the dog filter 500 sums the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the first green gradation value (G) is greater than the first blue gradation value (B) and the first green gradation value (G) is greater than the first red gradation value (R), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0101] The correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger. The larger the difference between the first green gradation value (G) and the first blue gradation value (B), the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the first green gradation value (G) and the first blue gradation value (B) is larger.

[0102] The dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first green color gradation value (G) is greater than the first blue color gradation value (B) and is less than or equal to the first red color gradation value (R); determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first green color gradation value (G) is less than or equal to the first blue color gradation value (B) and is greater than the first red color gradation value (R); and determines the first blue color gradation value (B) as the second blue color gradation value (B') when the first green color gradation value (G) is less than or equal to the first blue color gradation value (B) and is less than or equal to the first red color gradation value (R). If the first green gradation value (G) is smaller than or equal to the first blue gradation value (B), the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0103] Fig. 11 is a graph showing the sensitivity of dogs and humans, and Fig. 12 is a conceptual diagram showing a dog filter 500 of a display device according to an embodiment of the present invention. The graph on the left side of Fig. 12 shows the color coordinates of a human with respect to input image data (IMG), and the two graphs on the right side show the color coordinates of a human and a dog with respect to dog image data (DIMG), respectively.

[0104] The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0105] As shown in FIGS. 1b, 11 and 12, the dog filter 500 converts a first red gradation value (R) in the RGB domain into a sensitivity domain that takes into account the visual characteristics of a dog to generate a third red gradation value (R”), converts a first blue gradation value (B) in the RGB domain into the sensitivity domain to generate a third blue gradation value (B”) in FIG. 11, and converts a first green gradation value (G) in the RGB domain into the sensitivity domain to generate a third green gradation value (G”) in FIG. 12.

[0106] Humans are more sensitive to red than blue, and more sensitive to green than red. Unlike humans, dogs distinguish colors more easily the closer they are to ultraviolet light. That is, unlike humans, dogs are most sensitive to blue. Thus, the dog filter 500 can convert the RGB domain into a sensitivity domain that takes into account the visual characteristics of dogs so that the visual characteristics of dogs are well reflected.

[0107] For example, to convert the RGB domain to the sensitivity domain, the dog filter 500 applies weights to a first red gradation value (R), a first green gradation value (G), and a first blue gradation value (B). A first weight is applied to the first red gradation value (R), a second weight is applied to the first green gradation value (G), and a third weight is applied to the first blue gradation value (B). Since dogs have the highest color sensitivity to blue, the third weight is greater than the first and second weights. Since dogs have a higher color sensitivity to green than red, the second weight is greater than the first weight. For example, the third red gradation value (R"), the third blue gradation value (B") in FIG. 11, and the third green gradation value (G") in FIG. 12 are calculated using the following equations:

[0108]

number

[0109] Here, R1 is the first red gradation value, G1 is the first green gradation value, B1 is the first blue gradation value, R3 is the third red gradation value, G3 is the third green gradation value, B3 is the third blue gradation value, S1 is the first weighted value, S2 is the second weighted value, and S3 is the third weighted value.

[0110] The dog filter 500 generates dog image data (DIMG) based on the input image data (IMG), and determines a second blue color gradation value (B') for the blue color image data of the dog image data (DIMG) by adding a first blue color gradation value (B) for the blue color image data of the input image data (IMG) and a correction value. If the third red color gradation value (R") is greater than 0, the dog filter 500 adds the first blue color gradation value (B) and the correction value to determine a second blue color gradation value (B'), and if the third red color gradation value (R") is 0, the dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B'). The larger the third red color gradation value (R") is, the larger the correction value is. For example, the correction value is greater than 0.

[0111] When the third red gradation value (R") is greater than 0, the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third red gradation value (R") is greater than 0, the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0112] The correction value is larger as the third red gradation value (R”) is larger. The larger the third red gradation value (R”) is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the third red gradation value (R”) is larger.

[0113] If the third red gradation value (R") is 0, dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the third red gradation value (R") is 0, the proportion of blue in the input image data (IMG) is already high, so dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0114] Fig. 13 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 13 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0115] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 12, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0116] As shown in FIG. 1b and FIG. 13, if the third red gradation value (R") is greater than the third blue gradation value (B"), the first blue gradation value (B) and the compensation value are added together to determine the second blue gradation value (B'), and if the third red gradation value (R") is less than or equal to the third blue gradation value (B"), the first blue gradation value (B) is determined as the second blue gradation value (B'). The compensation value increases as the difference between the third red gradation value (R") and the third blue gradation value (B") increases.

[0117] When the third red gradation value (R") is greater than the third blue gradation value (B"), dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third red gradation value (R") is greater than the third blue gradation value (B"), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0118] The correction value is larger as the difference between the third red gradation value (R”) and the third blue gradation value (B”) is larger. The larger the difference between the third red gradation value (R”) and the third blue gradation value (B”) is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the third red gradation value (R”) and the third blue gradation value (B”) is larger.

[0119] If the third red gradation value (R") is smaller than or equal to the third blue gradation value (B"), dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the third red gradation value (R") is smaller than or equal to the third blue gradation value (B"), the proportion of blue in the input image data (IMG) is already high, so dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0120] Fig. 14 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 4 shows the color coordinates of a human being with respect to the input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to the dog image data (DIMG), respectively.

[0121] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 12, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0122] 1b and 14, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third red gradation value (R") is greater than the third blue gradation value (B") and the third red gradation value (R") is greater than the third green gradation value (G"); and determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third red gradation value (R") is greater than the third blue gradation value (B") and the third red gradation value (R") is less than or equal to the third green gradation value (G"). The first blue gradation value (B) is determined as the second blue gradation value (B') if the third red gradation value (R") is smaller than or equal to the third blue gradation value (B") and the third red gradation value (R") is larger than the third green gradation value (G"), the first blue gradation value (B) is determined as the second blue gradation value (B'), and if the third red gradation value (R") is smaller than or equal to the third blue gradation value (B") and the third red gradation value (R") is smaller than or equal to the third green gradation value (G"), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the third red gradation value (R") and the third blue gradation value (B") is, the larger the correction value is.

[0123] When the third red gradation value (R") is greater than the third blue gradation value (B") and the third red gradation value (R") is greater than the third green gradation value (G"), the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third red gradation value (R") is greater than the third blue gradation value (B") and the third red gradation value (R") is greater than the third green gradation value (G"), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0124] The correction value is larger as the difference between the third red gradation value (R”) and the third blue gradation value (B”) is larger. The larger the difference between the third red gradation value (R”) and the third blue gradation value (B”) is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the third red gradation value (R”) and the third blue gradation value (B”) is larger.

[0125] The dog filter 500 determines the first blue color tone value (B) as the second blue color tone value (B') when the third red color tone value (R") is greater than the third blue color tone value (B") and the third red color tone value (R") is smaller than or equal to the third green color tone value (G"); determines the first blue color tone value (B) as the second blue color tone value (B') when the third red color tone value (R") is smaller than or equal to the third blue color tone value (B") and the third red color tone value (R") is greater than the third green color tone value (G"); and determines the first blue color tone value (B) as the second blue color tone value (B') when the third red color tone value (R") is smaller than or equal to the third blue color tone value (B") and the third red color tone value (R") is smaller than or equal to the third green color tone value (G"). If the third red gradation value (R") is equal to or smaller than the third blue gradation value (B"), the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0126] Fig. 15 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 15 shows the color coordinates of a human being with respect to input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to dog image data (DIMG), respectively.

[0127] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 12, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0128] 1B and 15, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third red gradation value (R") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third blue gradation value (B"); and determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third red gradation value (R") is greater than the third blue gradation value (B") and the third green gradation value (G") is less than or equal to the third blue gradation value (B"). The first blue gradation value (B) is determined as the second blue gradation value (B') if the third red gradation value (R") is smaller than or equal to the third blue gradation value (B") and the third green gradation value (G") is larger than the third blue gradation value (B"), and the first blue gradation value (B) is determined as the second blue gradation value (B') if the third red gradation value (R") is smaller than or equal to the third blue gradation value (B") and the third green gradation value (G") is smaller than or equal to the third blue gradation value (B"), and the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the third red gradation value (R") and the third blue gradation value (B") is, the larger the correction value is.

[0129] When the third red gradation value (R") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third blue gradation value (B"), the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third red gradation value (R") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third blue gradation value (B"), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0130] In one embodiment, the correction value is larger as the difference between the third red gradation value (R") and the third blue gradation value (B") increases. The larger the difference between the third red gradation value (R") and the third blue gradation value (B") increases, the lower the blue proportion of the input image data (IMG). Therefore, the correction value is larger as the difference between the third red gradation value (R") and the third blue gradation value (B") increases.

[0131] In one embodiment, the correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") increases. The larger the difference between the third green gradation value (G") and the third blue gradation value (B") increases, the lower the blue proportion of the input image data (IMG). Therefore, the correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") increases.

[0132] In one embodiment, the correction value is larger as the sum of the difference between the third red gradation value (R") and the third blue gradation value (B") and the difference between the third green gradation value (G") and the third blue gradation value (B") is larger. The larger the difference between the third red gradation value (R") and the third blue gradation value (B") and the difference between the third green gradation value (G") and the third blue gradation value (B") is, the lower the blue ratio of the input image data (IMG). Therefore, the correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") is larger.

[0133] The dog filter 500 determines the first blue color gradation value (B) as the second blue color gradation value (B') when the third red color gradation value (R") is greater than the third blue color gradation value (B") and the third green color gradation value (G") is less than or equal to the third blue color gradation value (B"); determines the first blue color gradation value (B) as the second blue color gradation value (B') when the third red color gradation value (R") is less than or equal to the third blue color gradation value (B") and the third green color gradation value (G") is greater than the third blue color gradation value (B"); and determines the first blue color gradation value (B) as the second blue color gradation value (B') when the third red color gradation value (R") is less than or equal to the third blue color gradation value (B") and the third green color gradation value (G") is less than or equal to the third blue color gradation value (B"). Dogs perceive red and green as yellow, and blue as blue, so if either the third red gradation value (R") or the third green gradation value (G") is smaller than or equal to the first blue gradation value, the proportion of blue in the input image data (IMG) is already high. Therefore, the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0134] Fig. 16 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 16 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0135] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 12, except for the process of generating dog image data (DIMG). Therefore, the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0136] As shown in FIG. 1b and FIG. 16, the dog filter 500 determines a second blue color gradation value (B') by adding the first blue color gradation value (B) and the compensation value when the third green color gradation value (G") is greater than 0, and determines the first blue color gradation value (B) as the second blue color gradation value (B') when the third green color gradation value (G") is 0. The compensation value increases as the third green color gradation value (G") increases. For example, the compensation value is greater than 0.

[0137] When the third green gradation value (G") is greater than 0, the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third green gradation value (G") is greater than 0, the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0138] The correction value is larger as the third green gradation value (G”) is larger. The larger the third green gradation value (G”) is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the third green gradation value (G”) is larger.

[0139] If the third green gradation value (G") is 0, dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the third green gradation value (G") is 0, the proportion of blue in the input image data (IMG) is already high, so dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0140] Fig. 17 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 17 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0141] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 16, except for the process of generating dog image data (DIMG), so the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0142] As shown in FIG. 1b and FIG. 17, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the compensation value when the third green gradation value (G") is greater than the third blue gradation value (B"), and determines the first blue gradation value (B) as the second blue gradation value (B') when the third green gradation value (G") is less than or equal to the third blue gradation value (B"). The compensation value increases as the difference between the third green gradation value (G") and the third blue gradation value (B") increases.

[0143] When the third green gradation value (G") is greater than the third blue gradation value (B"), the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third green gradation value (G") is greater than the third blue gradation value (B"), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0144] The correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") is larger. The larger the difference between the third green gradation value (G") and the third blue gradation value (B") is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") is larger.

[0145] If the third green gradation value (G") is smaller than or equal to the third blue gradation value (B"), dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B'). If the third green gradation value (G") is smaller than or equal to the third blue gradation value (B"), the proportion of blue in the input image data (IMG) is already high, so dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0146] Fig. 18 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 18 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0147] The dog display device according to this embodiment has the same configuration as the dog display device in Figure 16, except for the process of generating dog image data (DIMG), so the same or similar components are given the same drawing symbols and duplicate explanations are omitted.

[0148] 1B and 18, the dog filter 500 determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third green gradation value (G") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third red gradation value (R"); and determines a second blue gradation value (B') by adding the first blue gradation value (B) and the correction value when the third green gradation value (G") is greater than the third blue gradation value (B") and the third green gradation value (G") is less than or equal to the third red gradation value (R"). The first blue gradation value (B) is determined as the second blue gradation value (B') if the third green gradation value (G") is smaller than or equal to the third blue gradation value (B") and the third green gradation value (G") is larger than the third red gradation value (R"), the first blue gradation value (B) is determined as the second blue gradation value (B'); if the third green gradation value (G") is smaller than or equal to the third blue gradation value (B") and the third green gradation value (G") is smaller than or equal to the third red gradation value (R"), the first blue gradation value (B) is determined as the second blue gradation value (B'). The larger the difference between the third green gradation value (G") and the third blue gradation value (B") is, the larger the correction value is.

[0149] When the third green gradation value (G") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third red gradation value (R"), the dog filter 500 adds the first blue gradation value (B) and the correction value to determine the second blue gradation value (B'). Therefore, when the third green gradation value (G") is greater than the third blue gradation value (B") and the third green gradation value (G") is greater than the third red gradation value (R"), the second blue gradation value (B') is greater than the first blue gradation value (B). In other words, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high proportion of blue.

[0150] The correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") is larger. The larger the difference between the third green gradation value (G") and the third blue gradation value (B") is, the lower the proportion of blue in the input image data (IMG). Therefore, the correction value is larger as the difference between the third green gradation value (G") and the third blue gradation value (B") is larger.

[0151] The dog filter 500 determines the first blue color tone value (B) as the second blue color tone value (B') when the third green color tone value (G") is greater than the third blue color tone value (B") and the third green color tone value (G") is less than or equal to the third red color tone value (R"); determines the first blue color tone value (B) as the second blue color tone value (B') when the third green color tone value (G") is less than or equal to the third blue color tone value (B") and the third green color tone value (G") is greater than the third red color tone value (R"); and determines the first blue color tone value (B) as the second blue color tone value (B') when the third green color tone value (G") is less than or equal to the third blue color tone value (B") and the third green color tone value (G") is less than or equal to the third red color tone value (R"). If the third green gradation value (G") is equal to or smaller than the third blue gradation value (B"), the proportion of blue in the input image data (IMG) is already high, so the dog filter 500 determines the first blue gradation value (B) as the second blue gradation value (B') as it is.

[0152] Fig. 19a, Fig. 20a, Fig. 21a and Fig. 22 to Fig. 26 are conceptual diagrams showing a dog filter 500 of a display device for a dog according to an embodiment of the present invention, Fig. 19b is a diagram showing an example of a color change caused by the dog filter 500 of Fig. 19a, Fig. 20b is a diagram showing an example of a color change caused by the dog filter 500 of Fig. 20a, Fig. 21b is a diagram showing an example of a color change caused by the dog filter 500 of Fig. 21a, and Fig. 27 is a diagram showing color coordinates of the display device for a dog of Fig. 19a to Fig. 26. The graphs on the left side of Fig. 19b, Fig. 20b and Fig. 21b show the color coordinates of a human being with respect to the input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to the dog image data (DIMG), respectively.

[0153] The dog display device according to this embodiment has the same configuration as the dog display device shown in Figures 1b, 5a, 6a, 7a, and 12 to 15 (corresponding to Figures 19a, 20a, 21a, and 22 to 26), except that instead of adding the first blue gradation value (B) and the correction value, a correction value is subtracted from the first red gradation value (R). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0154] As shown in FIG. 1b and FIG. 19a to FIG. 27, the dog filter 500 determines a second red gradation value (R') for the red image data of the dog image data (DIMG) by subtracting a correction value from the first red gradation value (R). For example, the correction value is greater than 0. When the second red gradation value (R') is determined by subtracting the correction value from the first red gradation value (R), the second red gradation value (R') is smaller than the first red gradation value (R). Therefore, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high blue ratio by reducing the yellow ratio (i.e., dogs recognize red and green as yellow).

[0155] As shown in Fig. 2 and Fig. 27, the color space in Fig. 27 shows that the second color space (CS2) in Fig. 2 is transformed. Compared with the second color space (CS2), the transformed color space of the dog display device in Fig. 19a to Fig. 26 has the coordinates of red (the right vertex of the triangle) transformed.

[0156] Fig. 28a, Fig. 29a, and Fig. 30a are conceptual diagrams showing a dog filter 500 of another dog display device according to an embodiment of the present invention, Fig. 28b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 28a, Fig. 29b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 29a, and Fig. 30b is a diagram showing an example of color change caused by the dog filter 500 of Fig. 30a. The graphs on the left side of Fig. 28b, Fig. 29b, and Fig. 30b show the color coordinates of a human being with respect to the input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to the dog image data (DIMG), respectively.

[0157] The dog display device according to this embodiment has the same configuration as the dog display device of Figures 8a, 9a and 10a (corresponding to Figures 28a, 29a and 30a), except that instead of adding the first blue gradation value (B) and the correction value, a correction value is subtracted from the first green gradation value (G). Therefore, the same or similar components are given the same drawing symbols and redundant explanations are omitted.

[0158] As shown in FIG. 1b and FIG. 28a to FIG. 30b, the dog filter 500 determines the second green gradation value (R') for the green image data of the dog image data (DIMG) by subtracting the correction value from the first green gradation value (G). For example, the correction value is greater than 0. When the second red gradation value (R') is determined by subtracting the correction value from the first red gradation value (R), the second red gradation value (R') is smaller than the first red gradation value (R). Therefore, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high blue ratio by reducing the green ratio (i.e., dogs recognize red and green as yellow).

[0159] Fig. 31 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 31 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0160] The dog display device according to this embodiment has the same configuration as the dog display device in FIG. 7a, except that instead of adding the first blue gradation value (B) and the correction value, the correction value is subtracted from the first green gradation value (G). Therefore, the same or similar components are denoted by the same reference symbols, and duplicate explanations will be omitted.

[0161] As shown in FIG. 1b and FIG. 31, the dog filter 500 determines the second green gradation value (R') by subtracting the correction value from the first green gradation value (G). For example, the correction value is greater than 0. When the second red gradation value (R') is determined by subtracting the correction value from the first red gradation value (R), the second red gradation value (R') is smaller than the first red gradation value (R). Therefore, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high blue ratio by reducing the green ratio (that is, because dogs recognize red and green as yellow).

[0162] 32 to 34 are conceptual diagrams showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 32 to 34 shows the color coordinates of a human being with respect to input image data (IMG), and the two graphs on the right side show the color coordinates of a human being and the color coordinates of a dog with respect to dog image data (DIMG), respectively.

[0163] The dog display device according to this embodiment has the same configuration as the dog display device shown in Figures 16 to 18 (corresponding to Figures 32 to 34), except that instead of adding the first blue gradation value (B) and the correction value, a correction value is subtracted from the first green gradation value (G). Therefore, the same or similar components are denoted by the same drawing symbols, and duplicate explanations will be omitted.

[0164] As shown in FIG. 1b and FIG. 32 to FIG. 34, the dog filter 500 determines the second green gradation value (R') by subtracting the correction value from the first green gradation value (G). For example, the correction value is greater than 0. When the second red gradation value (R') is determined by subtracting the correction value from the first red gradation value (R), the second red gradation value (R') is smaller than the first red gradation value (R). Therefore, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high blue ratio by reducing the green ratio (that is, because dogs recognize red and green as yellow).

[0165] Fig. 35 is a conceptual diagram showing a dog filter 500 of a dog display device according to an embodiment of the present invention. The graph on the left side of Fig. 35 shows human color coordinates for input image data (IMG), and the two graphs on the right side show human color coordinates and dog color coordinates for dog image data (DIMG), respectively.

[0166] The dog display device according to this embodiment has the same configuration as the dog display device in FIG. 15, except that instead of adding the first blue gradation value (B) and the correction value, the correction value is subtracted from the first green gradation value (G). Therefore, the same or similar components are given the same reference symbols, and duplicate explanations are omitted.

[0167] As shown in FIG. 1b and FIG. 35, the dog filter 500 determines the second green gradation value (G') by subtracting the correction value from the first green gradation value (G). For example, the correction value is greater than 0. When the second red gradation value (R') is determined by subtracting the correction value from the first red gradation value (R), the second red gradation value (R') is smaller than the first red gradation value (R). Therefore, the dog filter 500 converts the input image data (IMG) into dog image data (DIMG) with a high blue ratio by reducing the green ratio (that is, because dogs recognize red and green as yellow).

[0168] FIG. 36 is a diagram showing the color coordinates of the dog display device of FIGS. 28a to 35. As shown in Fig. 2 and Fig. 36, the color space in Fig. 36 shows that the second color space (CS2) in Fig. 2 is transformed. In the transformed color space of the dog display device in Fig. 28a to Fig. 35, the coordinates of green (upper vertex of the triangle) are transformed compared to the second color space (CS2). Fig. 37 is a diagram showing color values ​​(H_IMG, H_DIMG) of the input image data (IMG) and dog data (DIMG) of the dog display device according to an embodiment of the present invention.

[0169] The display device for dogs according to this embodiment is similar to the display device for dogs 1000 of FIG. 1b except for the dog filter 500, so the same or similar components are denoted by the same reference numerals and duplicated descriptions will be omitted.

[0170] As shown in FIG. 1b and FIG. 37, the dog filter 500 increases the blue ratio of the input image data (IMG) to generate dog image data (DIMG). For example, the dog filter 500 converts the input image data (IMG) in the RGB domain into input image data in the HSV domain, expands the blue range (P1) of the color value (H_IMG) of the input image data in the HSV domain, reduces the red range (P2) of the color value (H_IMG) of the input image data in the HSV domain, generates dog image data in the HSV domain, and generates dog image data (DIMG) in the RGB domain based on the dog image data in the HSV domain. In another embodiment, the dog filter 500 expands the blue range (P1) and reduces the green range of the color value (H_IMG) of the input image data in the HSV domain to generate dog image data in the HSV domain.

[0171] For example, the color value of the HSV domain has a value of 0° to 360°. The 240° to 300° section indicates a blue section (P1), and the sections of 300° to 360° and 0° to 30° are red section (P2). The dog filter 500 expands the blue section (P1) to 240° to 360° and reduces the red section (P2) to 0° to 30°. Therefore, the color of an image displayed based on input image data with a color value (H_IMG) of 300° is the same as that of an image displayed based on dog image data with a color value (H_DIMG) of 360°. For example, the color of an image displayed based on input image data with a color value (H_IMG) of 270° is the same as that of an image displayed based on dog image data with a color value (H_DIMG) of 300°. Therefore, the blue ratio of the dog image data (DIMG) is higher than the blue ratio of the input image data (IMG).

[0172] FIG. 38 is a diagram showing the color luminance of the display device for a dog according to an embodiment of the present invention. The dog display device according to this embodiment has the same configuration as the dog display device 1000 in FIG. 1b, except for the dog filter 500, so the same or similar components are given the same reference numerals and duplicated descriptions are omitted.

[0173] As shown in FIG. 1b and FIG. 38, the dog filter 500 increases the difference in luminance between the red region (RG) and the green region (GG) of the input image data (IMG) to generate dog image data (DIMG).

[0174] For example, the dog filter 500 converts input image data (IMG) in the RGB domain into a luminance domain, and converts the luminance of the input image data in the luminance domain to generate dog image data (DIMG). For example, the dog filter 500 reduces the luminance of the red region (RG) of the input image data (IMG) and increases the luminance of the green region (GG). For example, the dog filter 500 further reduces the luminance of the red region (RG) as it moves away from yellow, and further increases the luminance of the green region (GG) as it moves away from yellow. Thus, the red image and the green image can be distinguished based on the difference in luminance. Thus, a dog that cannot distinguish red and green well can distinguish the red image and the green image. [Industrial Applicability]

[0175] The present invention is applicable to a display device for dogs and electronic devices including the same, for example, digital TVs, 3D TVs, mobile phones, smartphones, tablet computers, VR devices, PCs, home electronic devices, notebook computers, PDAs, PMPs, digital cameras, music players, portable game consoles, navigation systems, etc.

[0176] Although the present invention has been described with reference to the embodiments, those skilled in the art will understand that various modifications and variations can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. [Explanation of symbols]

[0177] 1000:Display device 1100: Display panel drive unit 100: Display panel 200: Drive control unit 300: Gate driver 400: Data Drive Unit 500: Dog Filter

Claims

1. a display panel including pixels; a dog filter that generates dog image data based on input image data, and determines a second blue gradation value of the dog image data by adding a first blue gradation value of the input image data and a correction value; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

2. The display panel drive unit includes: In a dog mode, activating the dog filter and generating the data voltage based on the dog image data; 2. The display device for dogs according to claim 1, wherein in a human mode, the dog filter is deactivated and the data voltage is generated based on the input image data.

3. The dog filter is if the first red gradation value of the input image data is greater than 0, adding the first blue gradation value and the correction value to determine the second blue gradation value; 2. The display device for a dog according to claim 1, wherein when the first red gradation value is 0, the first blue gradation value is determined to be the second blue gradation value.

4. 4. The display device for a dog according to claim 3, wherein the correction value is larger as the first red gradation value is larger.

5. The dog filter is if the first red tone value of the input image data is greater than the first blue tone value, adding the first blue tone value and the correction value to determine the second blue tone value; 2. The dog display device according to claim 1, wherein when the first red gradation value is smaller than or equal to the first blue gradation value, the first blue gradation value is determined to be the second blue gradation value.

6. The display device for a dog according to claim 5 , wherein the correction value is larger as the difference between the first red gradation value and the first blue gradation value is larger.

7. The dog filter is if the first red gradation value of the input image data is greater than the first blue gradation value and the first red gradation value is greater than the first green gradation value of the input image data, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the first red gradation value is greater than the first blue gradation value and is less than or equal to the first green gradation value, the first blue gradation value is determined as the second blue gradation value; If the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is larger than the first green gradation value, the first blue gradation value is determined as the second blue gradation value; 2. The dog display device according to claim 1, characterized in that, when the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is smaller than or equal to the first green gradation value, the first blue gradation value is determined to be the second blue gradation value.

8. The dog filter is if the first red gradation value of the input image data is greater than the first blue gradation value and the first green gradation value of the input image data is greater than the first blue gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the first red gradation value is greater than the first blue gradation value and the first green gradation value is less than or equal to the first blue gradation value, the first blue gradation value is determined as the second blue gradation value; If the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is larger than the first blue gradation value, the first blue gradation value is determined as the second blue gradation value; 2. The dog display device according to claim 1, characterized in that, when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value, the first blue gradation value is determined to be the second blue gradation value.

9. The display device for a dog according to claim 8 , wherein the correction value is larger as the difference between the first red gradation value and the first blue gradation value is larger.

10. The display device for dogs according to claim 8 , wherein the correction value increases as the difference between the first green gradation value and the first blue gradation value increases.

11. 9. The display device for dogs according to claim 8, wherein the correction value is larger as the sum of the difference between the first red gradation value and the first blue gradation value and the difference between the first green gradation value and the first blue gradation value is larger.

12. The dog filter is 2. The display device for dogs according to claim 1, characterized in that, when the first green gradation value of the input image data is greater than 0, the first blue gradation value and the correction value are added together to determine the second blue gradation value, and when the first green gradation value is 0, the first blue gradation value is determined to be the second blue gradation value.

13. The dog filter is characterized in that, when the first green gradation value of the input image data is greater than the first blue gradation value, the dog filter adds the first blue gradation value and the correction value to determine the second blue gradation value, and when the first green gradation value is smaller than or equal to the first blue gradation value, the dog filter determines the first blue gradation value by the second blue gradation value.

14. The dog filter is if the first green gradation value of the input image data is greater than the first blue gradation value and the first green gradation value is greater than the first red gradation value of the input image data, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the first green gradation value is greater than the first blue gradation value and is less than or equal to the first red gradation value, the first blue gradation value is determined as the second blue gradation value; If the first green gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is larger than the first red gradation value, the first blue gradation value is determined as the second blue gradation value; 2. The dog display device according to claim 1, characterized in that, when the first green gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first red gradation value, the first blue gradation value is determined to be the second blue gradation value.

15. The dog filter is converting the first red tone value in the RGB domain of the input image data into a sensitivity domain that takes into account the visual characteristics of dogs to generate a third red tone value; Transforming the first blue tone value in the RGB domain into the sensitivity domain to generate a third blue tone value; 2. The dog display device of claim 1, further comprising: converting a first green tone value in the RGB domain of the input image data to the sensitivity domain to generate a third green tone value.

16. The dog filter is if the third red gradation value is greater than the third blue gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; The dog display device of claim 15, characterized in that if the third red gradation value is smaller than or equal to the third blue gradation value, the first blue gradation value is determined to be the second blue gradation value.

17. The dog filter is if the third red gradation value is greater than the third blue gradation value and the third red gradation value is greater than the third green gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the third red gradation value is greater than the third blue gradation value and is less than or equal to the third green gradation value, the first blue gradation value is determined to be the second blue gradation value; If the third red gradation value is smaller than or equal to the third blue gradation value and the third red gradation value is larger than the third green gradation value, the first blue gradation value is determined as the second blue gradation value; 16. The dog display device according to claim 15, characterized in that, when the third red gradation value is smaller than or equal to the third blue gradation value and the third red gradation value is smaller than or equal to the third green gradation value, the first blue gradation value is determined to be the second blue gradation value.

18. The dog filter is if the third red gradation value is greater than the third blue gradation value and the third green gradation value is greater than the third blue gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the third red gradation value is greater than the third blue gradation value and the third green gradation value is less than or equal to the third blue gradation value, the first blue gradation value is determined to be the second blue gradation value; If the third red gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is larger than the third blue gradation value, the first blue gradation value is determined as the second blue gradation value; 16. The dog display device according to claim 15, characterized in that, when the third red gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is smaller than or equal to the third blue gradation value, the first blue gradation value is determined to be the second blue gradation value.

19. The dog filter is if the third green gradation value is greater than the third blue gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; The dog display device according to claim 15, characterized in that if the third green gradation value is smaller than or equal to the third blue gradation value, the first blue gradation value is determined to be the second blue gradation value.

20. The dog filter is if the third green gradation value is greater than the third blue gradation value and the third green gradation value is greater than the third red gradation value, adding the first blue gradation value and the correction value to determine the second blue gradation value; If the third green gradation value is greater than the third blue gradation value and the third green gradation value is less than or equal to the third red gradation value, the first blue gradation value is determined to be the second blue gradation value; If the third green gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is larger than the third red gradation value, the first blue gradation value is determined as the second blue gradation value; 16. The dog display device according to claim 15, characterized in that, when the third green gradation value is smaller than or equal to the third blue gradation value and the third green gradation value is smaller than or equal to the third red gradation value, the first blue gradation value is determined to be the second blue gradation value.

21. a display panel including pixels; a dog filter that generates dog image data based on input image data, and determines a second red gradation value of the dog image data by subtracting a correction value from a first red gradation value of the input image data; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

22. The dog filter is if the first red gradation value is greater than 0, subtracting the correction value from the first red gradation value to determine the second red gradation value; 22. The display device for a dog according to claim 21, wherein when the first red gradation value is 0, the first red gradation value is determined to be the second red gradation value.

23. when the first red gradation value is greater than the first blue gradation value of the input image data, the dog filter subtracts the correction value from the first red gradation value to determine the second red gradation value; The dog display device of claim 21, characterized in that if the first red gradation value is smaller than or equal to the first blue gradation value, the first red gradation value is determined to be the second red gradation value.

24. The dog filter is if the first red gradation value is greater than the first blue gradation value of the input image data and the first red gradation value is greater than the first green gradation value of the input image data, subtracting the correction value from the first red gradation value to determine the second red gradation value; If the first red gradation value is greater than the first blue gradation value and is less than or equal to the first green gradation value, the first red gradation value is determined as the second red gradation value; If the first red gradation value is smaller than or equal to the first blue gradation value and is larger than the first green gradation value, the first red gradation value is determined as the second red gradation value; 22. The dog display device of claim 21, wherein when the first red gradation value is smaller than or equal to the first blue gradation value and the first red gradation value is smaller than or equal to the first green gradation value, the first red gradation value is determined to be the second red gradation value.

25. The dog filter is if the first red gradation value is greater than the first blue gradation value of the input image data and the first green gradation value of the input image data is greater than the first blue gradation value, subtracting the correction value from the first red gradation value to determine the second red gradation value; If the first red gradation value is greater than the first blue gradation value and the first green gradation value is less than or equal to the first blue gradation value, the first red gradation value is determined as the second red gradation value; If the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is larger than the first blue gradation value, the first red gradation value is determined as the second red gradation value; 22. The dog display device of claim 21, wherein when the first red gradation value is smaller than or equal to the first blue gradation value and the first green gradation value is smaller than or equal to the first blue gradation value, the first red gradation value is determined to be the second red gradation value.

26. a display panel including pixels; a dog filter that generates dog image data based on input image data, and determines a second green gradation value of the dog image data by subtracting a correction value from a first green gradation value of the input image data; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

27. a display panel including pixels; a dog filter that increases a proportion of blue in input image data to generate dog image data; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

28. The dog filter is converting the input image data in the RGB domain to input image data in the HSV domain; Expanding a blue range of color values ​​of the input image data in the HSV domain and shrinking a red range of color values ​​of the input image data in the HSV domain to generate dog image data in the HSV domain; The display device for dogs according to claim 27, characterized in that the dog image data in the RGB domain is generated based on the dog image data in the HSV domain.

29. a display panel including pixels; a dog filter that increases a difference between a luminance of a red region and a luminance of a green region of the input image data to generate dog image data; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

30. a display panel including pixels; a dog filter that converts input image data into dog perception image data that takes into account the visual characteristics of dogs using a conversion table, and corrects the input image data based on a difference between the dog perception image data and the input image data to generate dog image data; a display panel driver that generates data voltages based on the dog image data and applies the data voltages to the pixels.

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