Image data processing device, display device and image data processing method

Abstract

To provide an image data processing device, a display device and an image data processing method capable of executing a pseudo contour removal according to illuminance.SOLUTION: An image data processing device includes: an illuminance sensor configured to detect illuminance; a setting unit configured to set a pseudo contour removal strength according to the illuminance; and a processing unit configured to execute a pseudo contour removal at the pseudo contour removal strength to image data.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to a video data processing device, a display device, and a video data processing method. [Background technology]

[0002] Patent Document 1 discloses a signal processing device. In this signal processing device, the positions of step-like changes in a signal are detected. A bandwidth, which is the interval between the positions of the detected step-like changes, is calculated. The calculated bandwidth corresponds to the width of a false contour. Low-frequency components are extracted from the input signal based on the calculated bandwidth. At this time, the input signal is passed through a variable-tap low-pass filter with the same number of taps as the bandwidth. This removes false contours, including false contour-like noise, and produces an output signal that is smooth but not too blurred (paragraphs 0034-0046). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-40910 Summary of the Invention [Problem to be solved by the invention]

[0004] Due to human visual characteristics, the darker the viewing environment, the more noticeable false contours, Mach bands, banding, and the like become in images. However, the signal processing device disclosed in Patent Document 1 does not take such human visual characteristics into consideration. As a result, it is not possible to remove false contours in a manner appropriate for the brightness of the viewing environment.

[0005] In view of this problem, an aspect of the present disclosure provides a video data processing device, a display device, and a video data processing method that are capable of performing false contour removal suitable for an illuminance, for example. [Means for solving the problem]

[0006] A video data processing device according to one aspect of the present disclosure includes an illuminance sensor that detects illuminance, a setting unit that sets a false contour removal intensity based on the illuminance, and a processing unit that performs false contour removal on video data at the false contour removal intensity. [Brief explanation of the drawings]

[0007] [Figure 1] 10A and 10B are diagrams illustrating the appearance of an image displayed by a display device of a reference example when the illuminance of the environment surrounding the display device is high. [Figure 2] 10A and 10B are diagrams illustrating the appearance of an image displayed by a display device of a reference example when the illuminance of the environment surrounding the display device is low; [Figure 3] FIG. 1 is a block diagram of a display device according to a first embodiment. [Figure 4] 4A to 4C are diagrams illustrating a method for setting a false contour removal intensity performed by a setting unit included in the display device of the first embodiment. [Figure 5] 4 is a diagram showing a false contour removal strength table held by a setting unit included in the display device of the first embodiment. FIG. [Figure 6] 5 is a flowchart showing the flow of processing performed by a video data processing device provided in the display device of the first embodiment. [Figure 7] 3A and 3B are diagrams illustrating a schematic view of an image displayed by the display device of the first embodiment when the illuminance of the environment surrounding the display device is low. [Figure 8] FIG. 10 is a block diagram of a display device according to a second embodiment. [Figure 9] 10A and 10B are diagrams illustrating a method for setting a false contour removal intensity performed by a setting unit included in the display device of the second embodiment. [Figure 10] FIG. 10 is a diagram showing an average luminance gain (APL_Gain) table held by a setting unit provided in the display devices of the second and fourth embodiments. [Figure 11]10 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of a second embodiment. [Figure 12] FIG. 10 is a block diagram of a display device according to a third embodiment. [Figure 13] 10A and 10B are diagrams illustrating a method for setting a false contour removal intensity performed by a setting unit provided in the display device of the third embodiment. [Figure 14] FIG. 10 is a diagram showing a maximum luminance level gain (Ymax_Gain) table held by a setting unit provided in the display devices of the third and fourth embodiments. [Figure 15] 10 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of a third embodiment. [Figure 16] FIG. 10 is a block diagram of a display device according to a fourth embodiment. [Figure 17] 10 is a diagram showing a method for setting a false contour removal intensity performed by a setting unit provided in a display device of a fourth embodiment. FIG. [Figure 18] 10 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of a fourth embodiment. [Figure 19] 10 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display devices of the fifth, sixth, and seventh embodiments and the false contour removal strength calculated from the illuminance by a setting unit provided in the display device. [Figure 20] 13 is a graph showing the relationship between an APL acquired by an acquisition unit provided in a display device of a sixth embodiment and an APL_Gain calculated from the APL by a setting unit provided in the display device. [Figure 21] 13 is a graph showing the relationship between Ymax acquired by an acquisition unit provided in a display device of a seventh embodiment and Ymax_Gain calculated from the Ymax by a setting unit provided in the display device. [Figure 22] FIG. 13 is a block diagram of a display device according to an eighth embodiment. [Figure 23]13 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in a display device of the eighth embodiment and the sharpness intensity calculated from the illuminance by a setting unit provided in the display device. [Figure 24] 13 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of an eighth embodiment. [Figure 25] FIG. 13 is a block diagram of a display device according to a ninth embodiment. [Figure 26] 13 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display device of the ninth embodiment and the noise reduction intensity calculated from the illuminance by a setting unit provided in the display device. [Figure 27] 13 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of a ninth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the drawings, the same or equivalent elements are designated by the same reference numerals, and redundant description will be omitted.

[0009] 1. First embodiment 1.1 Conspicuousness of false contours Fig. 1 is a diagram schematically illustrating how an image displayed by a display device of a reference example appears when the illuminance of the environment surrounding the display device is high, and Fig. 2 is a diagram schematically illustrating how an image displayed by the display device of a reference example appears when the illuminance of the environment surrounding the display device is low.

[0010] Humans perceive light emitted from a light source in an environment with only low illuminance as more dazzling than light emitted from a light source in an environment with only high illuminance. Therefore, humans are not sensitive to gradation gaps in an image displayed by a display device in an environment with only high illuminance, but are sensitive to gradation gaps in an image displayed by a display device in an environment with only low illuminance. Therefore, as shown in FIG. 1 , when the illuminance of the environment 211 surrounding the display device 201 of the reference example is high, a false contour 213 is less noticeable in an image 212 displayed by the display device 201 of the reference example. However, as shown in FIG. 2 , when the illuminance of the environment 211 surrounding the display device 201 of the reference example is low, a false contour 213 is more noticeable in an image 212 displayed by the display device 201 of the reference example.

[0011] The display device of the first embodiment prevents pseudo contours from becoming noticeable in the displayed image when the illuminance of the surrounding environment is low.

[0012] 1.2 Display device FIG. 3 is a block diagram of the display device of the first embodiment.

[0013] The display device 1 of the first embodiment shown in Fig. 3 is a television receiver. Therefore, the display device 1 receives broadcast waves, displays video corresponding to video signals contained in the received broadcast waves, and outputs audio corresponding to audio signals contained in the received broadcast waves. The display device 1 may be a display device other than a television receiver. For example, the display device 1 may be a monitor for a personal computer (PC), a PC-integrated monitor, digital signage, etc.

[0014] As shown in FIG. 3, the display device 1 includes a video data processing device 11 and a display unit 12.

[0015] The video data processing device 11 acquires video data 41, processes the acquired video data 41, and causes the display unit 12 to display a video corresponding to the processed video data .

[0016] The display unit 12 is a liquid crystal display, an organic light emitting diode (OLED) display, a quantum dot light emitting diode (QLED) display, or the like.

[0017] 1.3 Video data processing device As shown in FIG. 3, the video data processing device 11 includes an illuminance sensor 21 and a signal processing unit 22.

[0018] The illuminance sensor 21 detects the illuminance 51 and outputs a signal indicating the detected illuminance 51. The detected illuminance 51 indicates the brightness of the environment around the display unit 12.

[0019] As shown in FIG. 3, the signal processing unit 22 includes an acquisition unit 31, a setting unit 32, and a processing unit 33.

[0020] The acquisition unit 31 acquires the video data 41 and passes the acquired video data 41 to the setting unit 32 .

[0021] The setting unit 32 passes the received video data 41 to the processing unit 33 .

[0022] The setting unit 32 sets the false contour removal intensity based on the illuminance 51 indicated by the signal output by the illuminance sensor 21, calculates the false contour removal setting 61 based on the passed video data 41 and the set false contour removal intensity, passes the passed video data 41 to the processing unit 33 as is without updating the contents of the passed video data 41, and passes the calculated false contour removal setting 61 to the processing unit 33.

[0023] The setting unit 32 increases the false contour removal intensity as the illuminance 51 decreases. Therefore, when the illuminance 51 is a first illuminance, the setting unit 32 sets the false contour removal intensity to a first false contour removal intensity, and when the illuminance 51 is a second illuminance that is darker than the first illuminance, the setting unit 32 sets the false contour removal intensity to a second false contour removal intensity that is stronger than the first false contour removal intensity.

[0024] The processing unit 33 performs image quality signal processing including false contour removal on the received video data 41 in accordance with the received false contour removal setting 61. This allows false contour removal to be performed at the false contour removal intensity set for the video data 41, and false contour removal suitable for the illuminance 51 for the video data 41. That is, if the environment around the display unit 12 is dark and false contours are noticeable in the video displayed by the display unit 12, the false contour removal intensity can be increased to make the false contours less noticeable. On the other hand, if the environment around the display unit 12 is bright and false contours are not noticeable in the video displayed by the display unit 12, the false contour removal intensity can be decreased to prevent the video from becoming blurred.

[0025] False contour removal makes the gradation steps contained in the processed image represented by the image data 42 smoother than the gradation steps contained in the pre-processed image represented by the image data 41, making false contours that are noticeable in the pre-processed image less noticeable in the processed image. The false contour removal strength indicates the degree to which the gradation steps are smoothed. The stronger the false contour removal strength, the smoother the gradation steps contained in the processed image. The processing unit 33 removes false contours from the image data 41, for example, by applying a filter corresponding to the false contour removal strength to the image data 41.

[0026] The processing unit 33 causes the display unit 12 to display an image corresponding to the image data 42 that has undergone image quality signal processing.

[0027] The signal processing unit 22 is configured by a signal processing circuit. Part or all of the signal processing unit may be configured by a computer. The computer includes a processor, memory, peripheral circuits, etc. The processor executes a program stored in the memory to cause the computer to perform processing.

[0028] 1.4 Setting the false contour removal strength FIG. 4 is a diagram showing a method for setting the false contour removal strength performed by the setting unit provided in the display device of the first embodiment.

[0029] 4, when setting the false contour removal intensity 71, the setting unit 32 acquires a corresponding false contour removal intensity 72 corresponding to the illuminance 51, and sets the false contour removal intensity 71 based on the acquired corresponding false contour removal intensity 72. In the first embodiment, the setting unit 32 sets the false contour removal intensity 71 to the acquired corresponding false contour removal intensity 72. The acquiring unit 31 may also set the false contour removal intensity 71 to a false contour removal intensity obtained by correcting the corresponding false contour removal intensity 72.

[0030] 1.5 False Contour Removal Strength Table FIG. 5 is a diagram showing a false contour removal strength table held by a setting unit provided in the display device of the first embodiment.

[0031] The setting unit 32 holds a false contour removal strength table 81 shown in FIG.

[0032] 5, the false contour removal intensity table 81 includes a plurality of illumination ranges "0 to 49," "50 to 99," "100 to 299," and "300 or more," as well as a plurality of false contour removal intensities "20," "15," "10," and "5." The false contour removal intensities "20," "15," "10," and "5" are associated with the illumination ranges "0 to 49," "50 to 99," "100 to 299," and "300 or more," respectively.

[0033] When acquiring the corresponding false contour removal intensity 72, the setting unit 32 selects an illuminance range to which the illuminance 51 belongs, which is included in the multiple illuminance ranges "0 to 49," "50 to 99," "100 to 299," and "300 or more," selects the false contour removal intensity associated with the selected illuminance range, and sets the corresponding false contour removal intensity 72 to the selected false contour removal intensity. For example, if the illuminance 51 is "150," the setting unit 32 selects the illuminance range "100 to 299" to which "150" belongs, selects the false contour removal intensity "10" associated with the selected illuminance range "100 to 299," and sets the corresponding false contour removal intensity 72 to the selected false contour removal intensity "10." As a result, the setting unit 32 sets the corresponding false contour removal intensity 72 to the false contour removal intensity associated with the illuminance 51 in the false contour removal intensity table 81.

[0034] 1.6 Processing flow FIG. 6 is a flowchart showing the flow of processing performed by the video data processing device provided in the display device of the first embodiment.

[0035] The video data processing device 11 executes steps S101 to S106 shown in FIG.

[0036] In step S101 , the acquisition unit 31 acquires the video data 41 .

[0037] In the following step S102, the illuminance sensor 21 detects the illuminance 51.

[0038] In the next step S103 , the setting unit 32 sets the false contour removal intensity 71 based on the detected illuminance 51 .

[0039] In the following step S104, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0040] In the following step S105, the processing unit 33 performs image quality signal processing including false contour removal on the video data 41 in accordance with the calculated false contour removal setting 61. As a result, the processing unit 33 generates video data 42 that has been subjected to the image quality signal processing.

[0041] In the following step S106, the processing unit 33 outputs the video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0042] By performing steps S101 to S106, the false contour removal strength 71 can be changed in accordance with the illuminance 51 detected by the illuminance sensor 21.

[0043] If the signal processing unit 22 employs a technique for setting an active contrast gamma curve in accordance with the illuminance 51, a decrease in the illuminance 51 will change the active contrast gamma curve, changing the dynamic range and the amount of gamma curve lift, and making false contours more noticeable. For this reason, the false contour removal strength 71 may be set in accordance with the active contrast gamma curve.

[0044] 1.7 How the image appears FIG. 7 is a diagram schematically illustrating how an image displayed by the display device of the first embodiment looks when the illuminance of the environment surrounding the display device is low.

[0045] 2, when the illuminance of the environment 211 surrounding the display device 201 of the reference example is low, a false contour 213 is easily noticeable in an image 212. In contrast, when the illuminance of the environment 111 surrounding the display device 1 of the first embodiment is low, as shown in Fig. 7, by switching the false contour removal intensity 71 described above, a false contour 113 is less noticeable in an image 112.

[0046] 2. Second embodiment The following describes the differences between the second embodiment and the first embodiment. For points that are not described, the second embodiment also employs the same configuration as that employed in the first embodiment.

[0047] The display device of the second embodiment not only prevents false contours from becoming noticeable in an image displayed when the illuminance of the surrounding environment is low, but also prevents false contours from becoming noticeable in an image displayed when the average luminance of the image is low.

[0048] FIG. 8 is a block diagram of a display device according to the second embodiment.

[0049] In the display device 2 of the second embodiment shown in FIG. 8, the acquisition unit 31 acquires the average luminance (APL) 91 of the image represented by the image data 41 from the image data 41, and passes the acquired APL 91 to the setting unit 32.

[0050] Furthermore, the setting unit 32 sets the false contour removal intensity 71 based on the detected illuminance 51 and the passed APL 91.

[0051] The setting unit 32 increases the false contour removal intensity 71 as the APL 91 decreases. This allows false contour removal to be performed in a manner appropriate for the APL 91. That is, if the image displayed by the display unit 12 is dark, the APL 91 is low, the maximum luminance (Ymax) is low, and false contours with low gradation values ​​are noticeable, the false contour removal intensity 71 can be increased to make the false contour 113 less noticeable. On the other hand, if the image displayed by the display unit 12 is bright, the APL 91 is high, the Ymax is high, and false contours 113 with low gradation values ​​are not noticeable, the false contour removal intensity 71 can be decreased to prevent the image from becoming blurred.

[0052] FIG. 9 is a diagram showing a method for setting the false contour removal strength performed by a setting unit provided in the display device of the second embodiment.

[0053] 9 , in the display device 2 of the second embodiment, when setting the false contour removal intensity 71, the setting unit 32 acquires a corresponding false contour removal intensity 72 corresponding to the illuminance 51 and an average luminance gain (APL_Gain) 92 corresponding to the APL 91, and calculates the false contour removal intensity 71 by applying the acquired APL_Gain 92 to the acquired corresponding false contour removal intensity 72. For example, the setting unit 32 calculates the false contour removal intensity 71 by multiplying the corresponding false contour removal intensity 72 by the APL_Gain 92. For example, if the corresponding false contour removal intensity 72 is "10" and the APL_Gain 92 is "1.1," the setting unit 32 sets the false contour removal intensity 71, which is the total false contour removal intensity, to "10 × 1.1 = 11."

[0054] FIG. 10 is a diagram showing an average luminance gain (APL_Gain) table held by a setting unit provided in the display device of the second embodiment.

[0055] In the display device 2 of the second embodiment, the setting unit 32 holds an APL_Gain table 82 shown in FIG.

[0056] 10, the APL_Gain table 82 includes a plurality of APL ranges "0 to 9," "10 to 24," "25 to 49," and "50 to 100," as well as a plurality of APL_Gains "1.2," "1.1," "1," and "0.9." The APL_Gains "1.2," "1.1," "1," and "0.9" correspond to the APL ranges "0 to 9," "10 to 24," "25 to 49," and "50 to 100," respectively.

[0057] When acquiring APL_Gain 92, setting unit 32 selects an APL range to which APL 91 belongs, which is included in the APL ranges "0 to 9," "10 to 24," "25 to 49," and "50 to 100," selects APL_Gain associated with the selected APL range, and sets APL_Gain 92 to the selected APL_Gain. For example, if APL 91 is "15," setting unit 32 selects the APL range "10 to 24" to which "15" belongs, selects APL_Gain "1.1" associated with the selected APL range "10 to 24," and sets APL_Gain 92 to the selected APL_Gain "1.1." As a result, setting unit 32 sets APL_Gain 92 to the APL_Gain associated with APL 91 in APL_Gain table 82.

[0058] FIG. 11 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of the second embodiment.

[0059] In the display device 2 of the second embodiment, the video data processing device 11 executes steps S201 to S206 shown in FIG.

[0060] In step S201, the acquisition unit 31 acquires the video data 41 and the APL 91.

[0061] In the following step S202, the illuminance sensor 21 detects the illuminance 51.

[0062] In the following step S203, the setting unit 32 sets the false contour removal intensity 71 based on the detected illuminance 51 and the acquired APL 91.

[0063] In the following step S204, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0064] In the following step S205, the processing unit 33 performs image quality signal processing including false contour removal on the video data 41 in accordance with the calculated false contour removal setting 61. As a result, the processing unit 33 generates video data 42 that has been subjected to the image quality signal processing.

[0065] In the following step S106, the processing unit 33 outputs the video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0066] By performing steps S201 to S206, the false contour removal intensity 71 can be switched in accordance with the illuminance 51 detected by the illuminance sensor 21 and the APL 91 acquired by the acquisition unit 31.

[0067] If the signal processing unit 22 employs a technique for setting the active contrast gamma curve in accordance with APL 91, a decrease in APL 91 will change the active contrast gamma curve, changing the dynamic range and the amount of gamma curve lift, making false contours more noticeable. For this reason, the false contour removal strength 71 may be set in accordance with the active contrast gamma curve.

[0068] 3 Third embodiment The following describes the differences between the third embodiment and the first embodiment. For points that are not described, the third embodiment also employs the same configuration as that employed in the first embodiment.

[0069] The display device of the third embodiment not only prevents false contours from becoming noticeable in images displayed when the illuminance of the surrounding environment is low, but also prevents false contours from becoming noticeable in images displayed when the maximum brightness level of the image is low and dynamic range expansion is performed.

[0070] FIG. 12 is a block diagram of a display device according to the third embodiment.

[0071] In the display device 3 of the third embodiment shown in Figure 12, the acquisition unit 31 acquires the maximum luminance level (Ymax) 101 of the image represented by the image data 41 from the image data 41 and passes the acquired Ymax 101 to the setting unit 32.

[0072] Furthermore, the setting unit 32 sets the false contour removal strength 71 based on the detected illuminance 51 and the passed Ymax 101.

[0073] The setting unit 32 increases the false contour removal strength 71 as Ymax 101 decreases. This allows false contour removal to be performed in a manner appropriate for the dynamic range expansion / compression being performed. That is, if the image displayed by the display unit 12 is dark, Ymax 101 is low, dynamic range expansion is performed, and false contours are noticeable, the false contour removal strength 71 can be increased to make the false contours less noticeable. On the other hand, if the image displayed by the display unit 12 is bright, Ymax 101 is high, dynamic range compression is performed, and false contours are not noticeable, the false contour removal strength 71 can be decreased to prevent the image from becoming blurred. For example, if Ymax 101 is smaller than 235 / 255 gradations, dynamic range expansion is performed so that Ymax 101 becomes 235 / 255 gradations, and false contours are noticeable, the false contour removal strength 71 can be increased to make the false contours less noticeable. Furthermore, if Ymax101 is greater than 235 / 255 gradations, dynamic range compression is performed so that Ymax101 becomes 235 / 255 gradations, and false contours are not noticeable, false contour removal strength 71 can be weakened to prevent the image from becoming blurred.

[0074] FIG. 13 is a diagram showing a method for setting the false contour removal strength performed by a setting unit provided in the display device of the third embodiment.

[0075] 13 , in the display device 3 of the third embodiment, when setting the false contour removal intensity 71, the setting unit 32 acquires a corresponding false contour removal intensity 72 corresponding to the illuminance 51 and a maximum luminance level gain (Ymax_Gain) 102 corresponding to Ymax 101, and applies the acquired Ymax_Gain 102 to the acquired corresponding false contour removal intensity 72 to calculate the false contour removal intensity 71. For example, the setting unit 32 multiplies the corresponding false contour removal intensity 72 by Ymax_Gain 102 to calculate the false contour removal intensity 71. For example, if the corresponding false contour removal intensity 72 is "10" and Ymax_Gain 102 is "1.1," the setting unit 32 sets the false contour removal intensity 71, which is the total false contour removal intensity, to "10 × 1.1 = 11."

[0076] FIG. 14 is a diagram showing a maximum luminance level gain (Ymax_Gain) table held by a setting unit provided in the display device of the third embodiment.

[0077] In the display device 3 of the third embodiment, the setting unit 32 holds a Ymax_Gain table 83 shown in FIG.

[0078] 14, the Ymax_Gain table 83 includes a plurality of Ymax ranges "0 to 49," "50 to 99," "100 to 234," and "235 or higher," as well as a plurality of Ymax_Gains "1.2," "1.1," "1," and "0.9." The Ymax_Gains "1.2," "1.1," "1," and "0.9" correspond to the Ymax ranges "0 to 49," "50 to 99," "100 to 234," and "235 or higher," respectively.

[0079] When acquiring Ymax_Gain 102, the setting unit 32 selects a Ymax range to which Ymax 101 belongs, which is included in the Ymax ranges "0 to 49," "50 to 99," "100 to 234," and "235 or higher," selects Ymax_Gain associated with the selected Ymax range, and sets Ymax_Gain 102 to the selected Ymax_Gain. For example, if Ymax 101 is "90," the setting unit 32 selects the Ymax range "50 to 99" to which "90" belongs, selects Ymax_Gain "1.1" associated with the selected Ymax range "50 to 99," and sets Ymax_Gain 102 to the selected Ymax_Gain "1.1." As a result, the setting unit 32 sets Ymax_Gain 102 to the Ymax_Gain associated with Ymax 101 in the Ymax_Gain table 83.

[0080] FIG. 15 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of the third embodiment.

[0081] In the display device 3 of the third embodiment, the video data processing device 11 executes steps S301 to S306 shown in FIG.

[0082] In step S301, the acquisition unit 31 acquires the video data 41 and the Ymax 101.

[0083] In the following step S302, the illuminance sensor 21 detects the illuminance 51.

[0084] In the following step S303, the setting unit 32 sets the false contour removal strength 71 based on the detected illuminance 51 and the acquired Ymax 101.

[0085] In the following step S304, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0086] In the following step S305, the processing unit 33 performs image quality signal processing including false contour removal and dynamic range expansion / compression on the video data 41 in accordance with the calculated false contour removal setting 61. As a result, the processing unit 33 generates video data 42 that has been subjected to the image quality signal processing.

[0087] When Ymax 101 is small and the image quality signal processing performed includes dynamic range expansion, the brightness of the processed image will be brighter than the brightness of the pre-processed image, but the gradation steps contained in the processed image will be sharper than the gradation steps contained in the pre-processed image, making the false contour 113 more noticeable in the processed image. However, when the image quality signal processing includes dynamic range expansion, the false contour removal strength 71 becomes higher, making it possible to prevent the false contour 113 from becoming more noticeable in the processed image due to dynamic range expansion.

[0088] In the following step S306, the processing unit 33 outputs the video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0089] By performing steps S301 to S306, the false contour removal strength 71 can be switched in accordance with the illuminance 51 detected by the illuminance sensor 21 and the Ymax 101 acquired by the acquisition unit 31.

[0090] If the signal processing unit 22 employs a technique for setting the active contrast gamma curve in accordance with Ymax 101, a decrease in Ymax 101 will change the active contrast gamma curve, changing the dynamic range and the amount of gamma curve lift, and making false contours more noticeable. For this reason, the false contour removal strength 71 may be set in accordance with the active contrast gamma curve.

[0091] 4 Fourth embodiment The following describes the differences between the fourth embodiment and the first embodiment. For points that are not described, the fourth embodiment also employs the same configuration as that employed in the first embodiment.

[0092] The display device of the fourth embodiment not only prevents false contours from becoming noticeable in an image displayed when the illuminance of the surrounding environment is low, but also prevents false contours from becoming noticeable in an image displayed when the average luminance of the image is low, and prevents false contours from becoming noticeable in an image displayed when the maximum luminance level of the image is low and dynamic range expansion is performed.

[0093] FIG. 16 is a block diagram of a display device according to the fourth embodiment.

[0094] In the display device 4 of the fourth embodiment shown in Figure 16, the acquisition unit 31 acquires the average luminance (APL) 91 and maximum luminance level (Ymax) 101 of the image represented by the image data 41 from the image data 41, and passes the acquired APL 91 and Ymax 101 to the setting unit 32.

[0095] Furthermore, the setting unit 32 sets the false contour removal strength 71 based on the detected illuminance 51 and the passed APL 91 and Ymax 101.

[0096] The setting unit 32 increases the false contour removal strength 71 as the APL 91 decreases, and increases the false contour removal strength 71 as the Ymax 101 decreases.

[0097] FIG. 17 is a diagram showing a method for setting the false contour removal strength performed by a setting unit provided in the display device of the fourth embodiment.

[0098] 17 , in the display device 4 of the fourth embodiment, when setting the false contour removal intensity 71, the setting unit 32 acquires a corresponding false contour removal intensity 72 corresponding to illuminance 51, an average luminance gain (APL_Gain) 92 corresponding to APL 91, and a maximum luminance level gain (Ymax_Gain) 102 corresponding to Ymax 101, and applies the acquired APL_Gain 92 and Ymax_Gain 102 to the acquired corresponding false contour removal intensity 72 to calculate the false contour removal intensity 71. For example, the setting unit 32 multiplies the corresponding false contour removal intensity 72 by APL_Gain 92 and Ymax_Gain 102 to calculate the false contour removal intensity 71. For example, if the corresponding false contour removal strength 72 is "10", APL_Gain 92 is "1.1", and Ymax_Gain 102 is "1.1", the setting unit 32 sets the false contour removal strength 71, which is the total false contour removal strength, to "10 x 1.1 x 1.1 = 12.1".

[0099] Fig. 10 is also a diagram showing an average luminance gain (APL_Gain) table held by a setting unit provided in the display device of the fourth embodiment. Fig. 14 is also a diagram showing a maximum luminance level gain (Ymax_Gain) table held by a setting unit provided in the display device of the fourth embodiment.

[0100] In the display device 4 of the fourth embodiment, the setting unit 32 holds an APL_Gain table 82 shown in FIG. 10 and a Ymax_Gain table 83 shown in FIG.

[0101] The setting unit 32 provided in the display device 4 of the fourth embodiment acquires APL_Gain92 in the same manner as the setting unit 32 provided in the display device 2 of the second embodiment, and acquires Ymax_Gain102 in the same manner as the setting unit 32 provided in the display device 3 of the third embodiment.

[0102] FIG. 18 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of the fourth embodiment.

[0103] In the display device 4 of the fourth embodiment, the video data processing device 11 executes steps S401 to S406 shown in FIG.

[0104] In step S401, the acquisition unit 31 acquires the video data 41, the APL 91, and the Ymax 101.

[0105] In the following step S402, the illuminance sensor 21 detects the illuminance 51.

[0106] In the following step S403, the setting unit 32 sets the false contour removal strength 71 based on the detected illuminance 51 and the acquired APL 91 and Ymax 101.

[0107] In the following step S404, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0108] In the following step S406, the processing unit 33 outputs the video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0109] By steps S401 to S406, the false contour removal strength 71 can be switched depending on the illuminance 51 detected by the illuminance sensor 21 and the APL 91 and Ymax 101 acquired by the acquisition unit 31.

[0110] 5 Fifth embodiment The following describes the differences between the fifth embodiment and the first embodiment. For points that are not described, the fifth embodiment also employs the same configuration as that employed in the first embodiment.

[0111] FIG. 19 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display device of the fifth embodiment and the false contour removal strength calculated from the illuminance by a setting unit provided in the display device.

[0112] In the display device of the fifth embodiment, when the setting unit 32 acquires the corresponding false contour removal intensity 72, the corresponding false contour removal intensity 72 is set to the false contour removal intensity calculated from the illuminance 51. The false contour removal intensity calculated from the illuminance 51 is determined according to the relationship shown in Fig. 19. In the relationship shown in Fig. 19, the false contour removal intensity is a continuous function of the illuminance. This allows the false contour removal intensity 71 to be set seamlessly.

[0113] 6 Sixth embodiment The following describes the differences between the sixth embodiment and the second embodiment. For points that are not described, the sixth embodiment also employs the same configuration as that employed in the second embodiment.

[0114] Fig. 19 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display device of the sixth embodiment and the false contour removal strength calculated from the illuminance by a setting unit provided in the display device. Fig. 20 is a graph showing the relationship between the APL acquired by an acquisition unit provided in the display device of the sixth embodiment and APL_Gain calculated from the APL by a setting unit provided in the display device.

[0115] In the display device of the sixth embodiment, when the setting unit 32 acquires the corresponding false contour removal intensity 72, the corresponding false contour removal intensity 72 is set to the false contour removal intensity calculated from the illuminance 51. The false contour removal intensity calculated from the illuminance 51 is determined according to the relationship shown in FIG.

[0116] Furthermore, when the setting unit 32 acquires APL_Gain 92, APL_Gain 92 is set to APL_Gain calculated from APL 91. APL_Gain calculated from APL 91 is determined according to the relationship shown in Fig. 20. In the relationship shown in Fig. 20, APL_Gain is a continuous function of APL. This allows the false contour removal strength 71 to be set seamlessly.

[0117] 7 Seventh embodiment The following describes the differences between the seventh embodiment and the third embodiment. For points that are not described, the same configuration as that adopted in the third embodiment is also adopted in the sixth embodiment.

[0118] Fig. 19 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display device of the seventh embodiment and the false contour removal strength calculated from the illuminance by a setting unit provided in the display device. Fig. 21 is a graph showing the relationship between Ymax acquired by an acquisition unit provided in the display device of the seventh embodiment and Ymax_Gain calculated from the Ymax by a setting unit provided in the display device.

[0119] In the display device of the seventh embodiment, when the setting unit 32 acquires the corresponding false contour removal intensity 72, the corresponding false contour removal intensity 72 is set to the false contour removal intensity calculated from the illuminance 51. The false contour removal intensity calculated from the illuminance 51 is determined according to the relationship shown in FIG.

[0120] Furthermore, when the setting unit 32 acquires Ymax_Gain102, Ymax_Gain102 is set to Ymax_Gain calculated from Ymax101. Ymax_Gain calculated from Ymax101 is determined according to the relationship shown in Fig. 21. In the relationship shown in Fig. 21, Ymax_Gain is a continuous function of Ymax. This allows Ymax_Gain102 to be set seamlessly.

[0121] 8 Eighth embodiment The following describes the differences between the eighth embodiment and the first embodiment. For points that are not described, the eighth embodiment also employs the same configuration as that employed in the first embodiment.

[0122] FIG. 22 is a block diagram of a display device according to the eighth embodiment.

[0123] In the display device 8 of the eighth embodiment shown in FIG. 22, the setting unit 32 sets the sharpness intensity 73 based on the detected illuminance 51.

[0124] The setting unit 32 weakens the sharpness intensity 73 as the illuminance 51 decreases. This makes it possible to prevent gradation steps included in the image displayed by the display unit 12 from being made sharper by the sharpness processing when the illuminance 51 is low.

[0125] Furthermore, the processing unit 33 performs image quality signal processing including sharpness processing on the video data 41 in accordance with the set sharpness intensity 73. This allows the sharpness processing on the video data 41 to be performed at the set sharpness intensity 73.

[0126] FIG. 23 is a graph showing the relationship between the illuminance detected by an illuminance sensor provided in the display device of the eighth embodiment and the sharpness intensity calculated from the illuminance by a setting unit provided in the display device.

[0127] The setting unit 32 sets the sharpness intensity 73 as the sharpness intensity calculated from the illuminance 51. The sharpness intensity calculated from the illuminance 51 is determined by the relationship shown in FIG.

[0128] FIG. 24 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of the eighth embodiment.

[0129] In the display device 8 of the eighth embodiment, the video data processing device 11 executes steps S801 to S806 shown in FIG.

[0130] In step S801, the acquisition unit 31 acquires the video data 41.

[0131] In the following step S802, the illuminance sensor 21 detects the illuminance 51.

[0132] In the next step S803, the setting unit 32 sets the false contour removal intensity 71 and the sharpness intensity 73 based on the detected illuminance 51.

[0133] In the following step S804, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0134] In the following step S805, the processing unit 33 performs image quality signal processing including false contour removal and sharpness processing on the video data 41 in accordance with the calculated false contour removal setting 61 and the set sharpness intensity 73. As a result, the processing unit 33 generates video data 42 that has been subjected to the image quality signal processing.

[0135] In the following step S106, the processing unit 33 outputs the video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0136] 9 Ninth embodiment The following describes the differences between the ninth embodiment and the first embodiment. For points that are not described, the ninth embodiment also employs the same configuration as that employed in the first embodiment.

[0137] FIG. 25 is a block diagram of a display device according to the ninth embodiment.

[0138] In the display device 9 of the ninth embodiment shown in FIG. 25, the setting unit 32 sets the noise reduction intensity 74 based on the detected illuminance 51.

[0139] The setting unit 32 increases the noise reduction intensity 74 as the illuminance 51 decreases. This makes it possible to blur and reduce gradation steps included in the image displayed on the display unit 12 when the illuminance 51 is low, by the noise reduction process.

[0140] Furthermore, the processing unit 33 performs image quality signal processing including noise reduction on the video data 41 in accordance with the set noise reduction intensity 74. This allows noise reduction to be performed on the video data 41 at the set noise reduction intensity 74.

[0141] FIG. 26 is a graph showing the relationship between the illuminance detected by the illuminance sensor provided in the display device of the ninth embodiment and the noise reduction intensity calculated from the illuminance by the setting unit provided in the display device.

[0142] The setting unit 32 sets the noise reduction intensity 74 as the noise reduction intensity calculated from the illuminance 51. The noise reduction intensity calculated from the illuminance 51 is determined by the relationship shown in FIG.

[0143] FIG. 27 is a flowchart showing the flow of processing performed by a video data processing device provided in a display device of the ninth embodiment.

[0144] In the display device 9 of the ninth embodiment, the video data processing device 11 executes steps S901 to S906 shown in FIG.

[0145] In step S901, the acquisition unit 31 acquires the video data 41.

[0146] In the following step S902, the illuminance sensor 21 detects the illuminance 51.

[0147] In the following step S903, the setting unit 32 sets the false contour removal intensity 71 and the noise reduction intensity 74 based on the detected illuminance 51.

[0148] In the following step S904, the setting unit 32 calculates the false contour removal setting 61 based on the acquired video data 41 and the set false contour removal strength 71.

[0149] In the following step S905, the processing unit 33 performs image quality signal processing including false contour removal and noise reduction on the video data 41 in accordance with the calculated false contour removal setting 61 and the set noise reduction intensity 74. As a result, the processing unit 33 generates video data 42 that has been subjected to image quality signal processing.

[0150] In the following step S906, the processing unit 33 outputs the generated video data 42 that has been subjected to the image quality signal processing to the display unit 12.

[0151] The present disclosure is not limited to the above-described embodiments, and may be replaced with a configuration that is substantially the same as the configuration shown in the above-described embodiments, a configuration that has the same effect, or a configuration that can achieve the same purpose. [Explanation of symbols]

[0152] 1,2,3,4,8,9 Display device 11 Video data processing device 12 Display section 21 Illuminance sensor 22 Signal processing section 31 Acquisition Department 32 Setting section 33 Processing section 41,42 Video data 51 Illuminance 61 False contour removal settings 71 False contour removal strength 72 Corresponding false contour removal strength 73 Sharpness Intensity 74 Noise Reduction Strength 81 False Contour Removal Strength Table 82 Average Luminance Gain (APL_Gain) Table 83 Maximum Luminance Level (Ymax_Gain) Table 91 Average Luminance (APL) 92 Average Luminance Gain (APL_Gain) 101 Maximum brightness level (Ymax) 102 Maximum brightness level gain (Ymax_Gain) 111 Environment 112 Videos 113 False Contour 201 Display device 212 Videos 211 Environment 213 False Contour

Claims

1. an illuminance sensor that detects illuminance; a setting unit that sets a false contour removal intensity based on the illuminance; a processing unit that performs false contour removal on video data using the false contour removal strength; A video data processing device comprising:

2. Setting the false contour removal intensity based on the illuminance includes setting the false contour removal intensity to a first false contour removal intensity when the illuminance is a first illuminance, and setting the false contour removal intensity to a second false contour removal intensity that is stronger than the first false contour removal intensity when the illuminance is a second illuminance that is darker than the first illuminance. The video data processing device according to claim 1 .

3. Setting the false contour elimination intensity based on the illuminance includes obtaining a corresponding false contour elimination intensity corresponding to the illuminance, and setting the false contour elimination intensity based on the corresponding false contour elimination intensity. The video data processing device according to claim 1 .

4. Obtaining the corresponding false contour removal intensity includes setting the corresponding false contour removal intensity to an intensity associated with the illuminance in a table. The video data processing device according to claim 3 .

5. Obtaining the corresponding false contour removal intensity includes setting the corresponding false contour removal intensity to an intensity calculated from the illuminance. The video data processing device according to claim 3 .

6. an acquisition unit that acquires an average luminance of an image represented by the image data; The setting unit sets the false contour removal intensity based on the average luminance.

6. A video data processing device according to claim 1.

7. Setting the false contour removal intensity based on the average luminance includes obtaining a corresponding false contour removal intensity corresponding to the illuminance and an average luminance gain corresponding to the average luminance, and applying the average luminance gain to the corresponding false contour removal intensity to calculate the false contour removal intensity. The video data processing device according to claim 6 .

8. Obtaining the average luminance gain includes setting the average luminance gain to a gain associated with the average luminance in an average luminance gain table. The video data processing device according to claim 7 .

9. Obtaining the average luminance gain includes setting the average luminance gain to a gain calculated from the average luminance. The video data processing device according to claim 7 .

10. an acquisition unit that acquires a maximum luminance level of an image represented by the image data; The setting unit sets the false contour removal strength based on the maximum brightness level.

6. A video data processing device according to claim 1.

11. Setting the false contour removal intensity based on the maximum luminance level includes obtaining a corresponding false contour removal intensity corresponding to the illuminance and a maximum luminance level gain corresponding to the maximum luminance level, and applying the maximum luminance level gain to the corresponding false contour removal intensity to calculate the false contour removal intensity. The video data processing device according to claim 10.

12. Obtaining the maximum brightness level gain includes setting the maximum brightness level gain to a gain associated with the maximum brightness level in a maximum brightness level gain table. The video data processing device according to claim 11.

13. Obtaining the maximum brightness level gain includes setting the maximum brightness level gain to a gain calculated from the maximum brightness level. The video data processing device according to claim 11.

14. an acquisition unit that acquires an average luminance and a maximum luminance level of an image represented by the image data; The setting unit sets the false contour removal strength based on the average luminance and the maximum luminance level.

6. A video data processing device according to claim 1.

15. Setting the false contour removal intensity based on the average luminance and the maximum luminance level includes obtaining a corresponding false contour removal intensity corresponding to the illuminance, an average luminance gain corresponding to the average luminance, and a maximum luminance level gain corresponding to the maximum luminance level, and applying the average luminance gain and the maximum luminance level gain to the corresponding false contour removal intensity to calculate the false contour removal intensity. The video data processing device according to claim 14.

16. Obtaining the average brightness gain and the maximum brightness level gain includes setting the average brightness gain to a gain associated with the average brightness in an average brightness gain table, and setting the maximum brightness level gain to a gain associated with the maximum brightness level in a maximum brightness level gain table. The video data processing device according to claim 15.

17. Obtaining the average brightness gain and the maximum brightness level gain includes setting the average brightness gain to a gain calculated from the average brightness, and setting the maximum brightness level gain to a gain calculated from the maximum brightness level. The video data processing device according to claim 15.

18. the setting unit sets a sharpness intensity based on the illuminance; The processing unit performs sharpness processing on the video data using the sharpness intensity.

6. A video data processing device according to claim 1.

19. the setting unit sets a noise reduction intensity based on the illuminance; The processing unit performs noise reduction on the video data at the noise reduction intensity.

6. A video data processing device according to claim 1.

20. A video data processing device according to any one of claims 1 to 5; A display unit; Equipped with the illuminance indicates the brightness of the environment around the display unit, The processing unit performs the false contour removal on the video data and causes the display unit to display a video corresponding to the video data from which the false contour has been removed. Display device.

21. Detecting illuminance; setting a false contour removal intensity based on the illuminance; performing a false contour removal process on the video data at the false contour removal intensity; A video data processing method comprising:

Images