Signal processing method for transparent display
By receiving input signals in a transparent display and generating control signals, and appropriately adjusting the transparency of the transparent area, the contrast reduction and edge blur caused by excessive background brightness are solved, and a higher quality image display is achieved.
Patent Information
- Application Number
- CN202010078972.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-02-03
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2040-02-03
AI Technical Summary
In transparent displays, excessive brightness of the background image may reduce the contrast of the image subject and cause blurring of feature edges, affecting display quality.
By receiving the input signal, an image signal and a control signal are generated, an image signal is output for luminous adjustment, and a control signal is output for transparency adjustment, appropriately controlling the transparency of the transparent area to improve the image display quality.
It effectively improves the contrast and display quality of the image, reduces interference from background light, and improves the clarity of the feature edges of the image subject.
Smart Images

Figure CN113205759B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to a control method of a transparent display, and more particularly to a signal processing method of a transparent display. Background Art
[0002] The transparent display can allow background ambient light to penetrate when displaying an image, so that the image to be displayed and the background image can be viewed by the user at the same time.
[0003] When displaying image content, if the background image brightness is too high, the contrast of the image subject may be reduced, or the feature edges of the image subject may be blurred. Therefore, the transparent area corresponding to the image subject needs to be properly controlled to improve the display quality of the image. Summary of the invention
[0004] The present disclosure provides a signal processing method for a transparent display. The signal processing method includes: receiving an input signal; generating an image signal and a control signal from the input signal; outputting the image signal for adjusting the light emission of the transparent display; and outputting the control signal for adjusting the transparency of the transparent display.
[0005] In order to better understand the above and other aspects of the present disclosure, embodiments are given below and described in detail with reference to the accompanying drawings: BRIEF DESCRIPTION OF THE DRAWINGS
[0006] Figure 1A to Figure 1C A schematic diagram of the structure of a transparent display according to an embodiment of the present disclosure is shown;
[0007] Figure 2 A schematic diagram of a transparent display system structure according to an embodiment of the present disclosure is shown;
[0008] Figure 3 A schematic diagram of a circuit for grayscale signal recognition according to an embodiment of the present disclosure is shown;
[0009] Figure 4 A schematic diagram of pixel grayscale of an input signal according to an embodiment of the present disclosure is shown;
[0010] Figure 5 A schematic diagram showing pixel grayscale and transparency determination value of an input signal according to an embodiment of the present disclosure is shown;
[0011] Figure 6 A schematic diagram of a circuit for a transparent display combining grayscale signal conversion and signal recognition according to an embodiment of the present disclosure is shown;
[0012] Figure 7 A schematic diagram showing a grayscale signal conversion mechanism of a transparent display according to an embodiment of the present disclosure is shown;
[0013] Figure 8 A schematic diagram of a circuit for identifying by hue according to an embodiment of the present disclosure is shown;
[0014] Fig. 9 A schematic diagram showing the effect of identification by hue according to an embodiment of the present disclosure;
[0015] Fig.10 A schematic diagram of a circuit for identifying according to time changes according to an embodiment of the present disclosure is shown; and
[0016] Fig.11 A schematic diagram showing yet another identification mechanism according to an embodiment of the present disclosure is shown.
[0017] Explanation of symbols
[0018] 1, 2, 3: Scope
[0019] 50, 52: Panel
[0020] 60: Luminous area
[0021] 62: Transparent area
[0022] 90: Image signal source
[0023] 100: Input signal
[0024] 100_1: Grayscale signal conversion unit
[0025] 102: System System
[0026] 104: Control signal
[0027] 106: Image signal
[0028] 104D, 106D: Output
[0029] 108: Time control unit
[0030] 110: Data driver
[0031] 112: Analysis Unit
[0032] 114: Gate Driver
[0033] 114A:Signal conversion unit
[0034] 114B: Signal recognition unit
[0035] 116: Transparent display panel
[0036] 118: Image subject
[0037] 130R, 130G, 130B, 132: Selector
[0038] 140, 140': Image content
[0039] 142: Image subject
[0040] 144: Background
[0041] 146: Detected area
[0042] 150_1, 150_2, 150_3, 150_4: Image area
[0043] 152_1, 152_2, 152_3, 180, 182: Image
[0044] 184: Difference Image
[0045] 200: System processing unit
[0046] S100–S104: Steps
[0047] B: Blue grayscale
[0048] G: Green grayscale
[0049] R: Red grayscale
[0050] Gray: Convert grayscale
[0051] N: Normal direction
[0052] T: Transparency
[0053] t1, t2, t3: time points DETAILED DESCRIPTION
[0054] In this document, some embodiments of the present disclosure are described with reference to the accompanying drawings. In fact, these embodiments can use a variety of different variations and are not limited to the embodiments described herein. The same reference symbols in the accompanying drawings are used to represent the same or similar elements.
[0055] The present disclosure can be understood by referring to the following detailed description in conjunction with the accompanying drawings. It should be noted that in order to facilitate the understanding of the readers and the simplicity of the drawings, the multiple drawings in the present disclosure only depict a portion of the electronic device, and the specific elements in the drawings are not drawn according to the actual scale. In addition, the number and size of each element in the drawings are only for illustration and are not intended to limit the scope of the present disclosure.
[0056] Certain words are used throughout the specification and the claims that follow to refer to specific components. It will be understood by those skilled in the art that electronic equipment manufacturers may refer to the same components by different names. It is not intended herein to distinguish between components that have the same function but different names. In the following specification and claims, words such as "include", "contain", "have" are open-ended words, and therefore should be interpreted as "including but not limited to..." Therefore, when the terms "include", "contain" and / or "have" are used in the description of the present disclosure, they specify the presence of corresponding features, regions, steps, operations and / or components, but do not exclude the presence of one or more corresponding features, regions, steps, operations and / or components.
[0057] Directional terms mentioned herein, such as "up", "down", "front", "back", "left", "right", etc., are only with reference to the directions of the accompanying drawings. Therefore, the directional terms used are for illustration and not for limiting the present disclosure. In the accompanying drawings, each figure shows the general characteristics of the methods, structures and / or materials used in a particular embodiment. However, these drawings should not be interpreted as defining or limiting the scope or nature covered by these embodiments. For example, for clarity, the relative size, thickness and position of each film layer, region and / or structure may be reduced or enlarged.
[0058] When a corresponding component such as a film layer or region is referred to as being "on another component", it may be directly on the other component, or other components may exist between the two. On the other hand, when a component is referred to as being "directly on another component", there is no component between the two. In addition, when a component is referred to as being "on another component", the two have a top-down relationship in a top-down direction, and the component may be above or below the other component, and this top-down relationship depends on the orientation of the device.
[0059] It should be understood that when a component or film layer is referred to as being "connected to" another component or film layer, it can be directly connected to the other component or film layer, or there can be an intervening component or film layer between the two. When a component is referred to as being "directly connected to" another component or film layer, there can be no intervening components or film layers between the two. In addition, when a component is referred to as being "coupled to another component (or a variation thereof)", it can be directly connected to the other component, indirectly connected (e.g., electrically connected) to the other component through one or more components.
[0060] The terms "approximately," "equal," "equal," or "same," "substantially," or "approximately" are generally interpreted to mean within plus or minus 20% of a given value, or within plus or minus 10%, plus or minus 5%, plus or minus 3%, plus or minus 2%, plus or minus 1%, or plus or minus 0.5% of a given value.
[0061] The ordinal numbers used in the specification and claims, such as "first", "second", etc., are used to modify the elements. They do not imply or represent that the element or elements have any previous ordinal numbers, nor do they represent the order of one element and another element, or the order of the manufacturing method. The use of these ordinal numbers is only used to make the element with a certain name clearly distinguishable from another element with the same name. The claims and the specification may not use the same words. Accordingly, the first component in the specification may be the second component in the claims.
[0062] The present disclosure includes transparency control of a transparent area of a transparent display. The transparency adjustment of the transparent area is adjusted according to a control signal generated by analyzing an input image signal through a signal analysis unit. After the transparency of the transparent area corresponding to the image area is appropriately adjusted, the display effect of the image, such as contrast, can be effectively improved.
[0063] Some embodiments are given below for illustration, but the present disclosure is not limited to the given embodiments. In addition, the given embodiments may be combined.
[0064] Figure 1A to Figure 1C FIG. 1 shows a schematic diagram of a transparent display according to an embodiment of the present disclosure. Figure 1A In the side view direction, the light emitting area 60 and the transparent area 62 included in a local area of the transparent display are respectively arranged in, for example, different display units 52 and 50, and the arrows represent the emission or passing path of the light. Figure 1A It can be seen that the display unit 50 overlaps with the display unit 52 in the normal direction N of the display unit 50, but the transparent area 62 does not overlap with the luminous area 60. The luminous area 60 can emit light according to the color corresponding to the local area and the grayscale information in the image signal. The transparency of the transparent pixels of the transparent area 62 can be controlled to adjust the light passing through the transparent area 62 to match the image display of the luminous area 60. It should be noted that in some embodiments of the present disclosure, the local area may be a pixel or a collection of multiple pixels. In the transparent display disclosed in the present disclosure, a pixel may, for example, include three sub-pixels and at least one transparent area, but is not limited to this. Among them, the three sub-pixels may correspond to three luminous areas of different colors of light. In some embodiments, each sub-pixel may correspond to a transparent area respectively, and in other embodiments of the present disclosure, multiple sub-pixels may correspond to one transparent area. The present disclosure does not limit the configuration method of the transparent area.
[0065] In addition, the light emitting region 60 may include an organic light emitting diode (OLED), an inorganic light emitting diode (LED), a sub-millimeter light emitting diode (mini LED), a micro LED, a quantum dot (QD), a quantum dot light emitting diode (QLED / QDLED), fluorescence, phosphor, other suitable materials or a combination of the above materials, but not limited thereto. The transparent region 62 in the present disclosure may include materials such as liquid crystal and electrophoretic ink, but not limited thereto.
[0066] See also Figure 1B In embodiments with different manufacturing designs, the display unit 52 where the light emitting area 60 is located and the display unit 50 where the transparent area 62 is located can also be integrated into the same panel without overlapping. Figure 1C In another embodiment, the display unit 50 and the display unit 52 may overlap in the normal direction N of the display unit 50 , and the transparent area 62 may partially overlap with the light-emitting area 60 .
[0067] Figure 1A to Figure 1C The configuration of the light emitting area 60 and the transparent area 62 shown in the figure is only an example. In some embodiments, the light emitting area 60 and the transparent area 62 of the transparent display may have different configurations or design structures.
[0068] The present disclosure proposes to generate a control signal for controlling the transparency of the transparent area 62 according to the analysis of the input image signal. The transparency of the transparent area 62 corresponding to the current displayed image can be appropriately controlled to improve the image quality.
[0069] Figure 2 FIG. 1 is a schematic diagram showing a transparent display system structure according to an embodiment of the present disclosure. Figure 2The system on chip (SOC) 102 of the transparent display receives an input signal 100 from a storage device (such as a hard disk), an external storage medium (such as a DVD) or an image signal source 90 in a terminal device (such as a computer). In one embodiment, the system 102 and the analysis unit 112 can be combined into a system processing unit 200 to analyze the input signal 100, for example, including the analysis of image color and grayscale, but not limited to this. After the input signal 100 is processed, an image signal 106 and a control signal 104 are generated from the system 102. The image signal 106 and the control signal 104 control the data driver 110 and the gate driver 114 respectively through the timing control unit (Timing Controller, T-con) 108. The outputs 104D and 106D of the data driver 110 and the output of the gate driver 114 can control the transparent display panel 116 to display an image 118. The transparent area of the transparent display panel 116 can allow light from the background to pass through. However, in the area where the image 118 is displayed, the corresponding transparent area needs to be properly adjusted so as to reduce the interference of light from the background when the image is displayed.
[0070] Taking the edge area of the image main body 118 as an example, a detection area is taken for a closer look, each luminous area is represented by EA, and the transparent area is represented by TA. Some of the transparent areas TA that do not involve the image main body 118 (such as transparent areas TA without oblique shadows) can be adjusted to high transparency according to the control signal 104, but the transparency of other transparent areas TA that involve the image main body 118 (such as transparent areas TA with oblique shadows) can be adjusted to low transparency according to the control signal 104.
[0071] Figure 3 FIG. 1 is a schematic diagram of a circuit for grayscale signal recognition according to an embodiment of the present disclosure. Figure 2 and Figure 3 ,exist Figure 2 The signal processing of the system processing unit 200 can be divided into three steps, including a receiving step S100, a generating step S102 and an output step S104.
[0072] The receiving step S100 receives an input signal 100, and the input signal 100 corresponds to the image content 140. Figure 3 Taking the swimming image of jellyfish as an example, the seawater as the background 144 appears blue in the image content 140, while the jellyfish as the main body 142 of the image is mainly brown.
[0073] The analysis unit 112 may include selectors 130R, 130G, and 130B corresponding to red, green, and blue, respectively. Here, the selectors 130R, 130G, and 130B may be implemented by hardware or firmware. The analysis unit 112 analyzes the input signal 100. In the image content 140 corresponding to the input signal 100, if a detected area is determined to be a background area, the corresponding transparent area may be set to high transparency, and if it is determined to be a non-background area, the corresponding transparent area may be set to low transparency, but the present disclosure is not limited thereto.
[0074] by Figure 3 In the embodiment shown, a detected area 146 in the background 144 is taken as an example, and the red grayscale R, green grayscale G and blue grayscale B corresponding to the detected area 146 in the input signal 100 are, for example, R=5, G=5 and B=150 respectively. By comparing with the grayscale thresholds of red, green and blue provided by the database (for example, Rth=10, Gth=10 and Bth=128), it is identified that the local area is biased towards blue. At this time, the red, green and blue grayscales of the input signal 100 corresponding to the detected area 146 can be directly output as the image signal 106. In this embodiment, the red grayscale R and the green grayscale G in the output signal 106 of the red, green and blue selectors 130R, 130G, 130B are respectively less than the thresholds Rth and Gth, while the blue grayscale B is greater than the threshold blue Bth. In addition, the judgment condition for judging whether the output control signal 104 corresponds to the area of the background can be, for example, formula (1):
[0075] R <Rth;G<Gth;B> Bth (1)
[0076] Under this judgment condition, when the input signal 100 meets the formula (1) and the local area is judged to belong to the background, the transparent area can be set to high transparency (for example, transparency T=Tmax), and the corresponding control signal 104 is output. When the grayscale of each color light in a local area of the input signal 100 does not meet the formula (1), the transparent area corresponding to the local area is set to low transparency and other corresponding control signals 104 are output.
[0077] It should be noted that the above Figure 3The embodiment of the present disclosure is to detect the blue background of seawater as an example. However, the present disclosure is not limited to this. The data provided by the database are various possible background conditions after statistics. There are ways to identify different backgrounds. The analysis unit 112 of the present disclosure analyzes the input signal 100 to identify the area that may belong to the background 144 or the image body 142, and generates a control signal 104 to adjust the transparency of the corresponding transparent area.
[0078] Figure 4 FIG. 1 is a schematic diagram showing the pixel grayscale of an input signal according to an embodiment of the present disclosure. Figure 4 , the three values of each pixel in the figure are the grayscales of red, green and blue from top to bottom. Taking the detected area 146 at the boundary edge of the image subject (jellyfish) 142 and the background (seawater) 144 in the image content 140 as an example, the blue grayscale of the pixels belonging to the background 144 is 255 (the higher the grayscale, the higher the corresponding brightness), and the blue grayscale B of the pixels belonging to the image subject 142 is 0, and the red grayscale R and the green grayscale G can be, for example, 125 respectively.
[0079] Figure 5 FIG. 1 is a schematic diagram showing the pixel grayscale and transparency judgment value of an input signal according to an embodiment of the present disclosure. Figure 2 and Figure 5 In one embodiment, the input signal 100 is processed to obtain an image signal 106 and a control signal 104. Finally, in the outputs 104D and 106D of the data driver 110, the output 106D corresponding to the image signal 106 maintains the original red, green and blue grayscales of the image. The output 104D corresponding to the control signal 104 adjusts the transparency T with two judgment values of binarization. The judgment value 0 represents that the transparent area is at a high transparency T, for example, the transparency T = Tmax to correspond to the background. The judgment value 1 represents that the transparent area is at a low transparency to correspond to the main body of the image. It should be noted that in the present disclosure, binarizing the transparency T into two judgment values (0 and 1) is only an example, and different transparencies T can be corresponded to more judgment values according to actual needs.
[0080] In some embodiments, the signal processing in the system processing unit 200 includes a signal conversion unit (not shown) and a signal identification unit (not shown). Figure 2 Similar to the analysis unit 112 of FIG. 1 , the color analysis of the three sub-pixels of a pixel is performed to identify whether the pixel belongs to the background. However, in this embodiment, before the signal recognition unit performs the function, the signal conversion unit first converts the grayscale value of the image into another image. Then, the recognition is performed based on the converted image, and the corresponding control signal 104 is generated according to the recognition result.
[0081] Figure 6 FIG. 1 is a circuit diagram of a transparent display combining grayscale signal conversion and signal recognition according to an embodiment of the present disclosure. Figure 6 , to identify Figure 3 Taking the blue background of the image content 140 as an example, the mechanisms of the signal conversion unit 114A and the signal identification unit 114B are described as follows.
[0082] In the receiving step S100, the received input signal 100 corresponds to the image content 140. In the image content 140, it is necessary to identify whether the position of the pixel belongs to the background, and then determine the transparency T of the transparent area corresponding to each pixel according to the identification result. For example, in the present embodiment, if the red grayscale R, green grayscale G and blue grayscale B of a pixel are respectively R=5, G=5, B=150, then the pixel will be judged as belonging to the background, such as sea water and appearing blue. In step S102, the signal conversion unit 114A sets converters 132R, 132G and 132B corresponding to red, green and blue respectively, and multiplies the received red grayscale R, green grayscale G and blue grayscale B according to the set coefficients 0.3, 0.5 and 0.2 respectively, to obtain the converted grayscale of the pixel, expressed in Gray. It should be noted that the coefficient setting values of the converter 132R, the converter 132G, and the converter 132B in this embodiment are only an example, and the present disclosure is not limited thereto. In fact, the coefficients of the converter 132R, the converter 132G, and the converter 132B can be set according to relevant statistical data of human vision (such as public research data), or changed due to factors such as manufacturers or markets. In this embodiment, the calculation of the conversion grayscale Gray of the pixel can be based on, for example, formula (2):
[0083] Gray=0.3*R+0.5*G+0.2*B (2)
[0084] After inputting R=5, G=5, B=150, the converted grayscale Gray=34 of this pixel is obtained. This converted grayscale Gray is input to the signal recognition unit 114B (for example, the selector 132). The critical value of the selector 132 may be, for example, Gray_th=128. The judgment condition for judging whether the output control signal 104 corresponds to the background area may be, for example, formula (3):
[0085] Gray <Gray_th,T=Tmax (3)
[0086] The control signal 104 may correspond to the transparency T. For example, when Gray < Gray_th, it can be determined that the detected pixel tends to be blue, and then the pixel is identified as belonging to the background range. Therefore, the control signal 104 can correspond to a high transparency, such as the condition where the transparency T = Tmax.
[0087] In step S104, the input signal 100 includes the original image gray level and is directly output as the image signal 106. The control signal 104 is also output simultaneously and is subsequently used for adjusting the transparency of the transparent area. It should be noted that although in this embodiment, the image signal 106 is the same as the input signal 100, in some embodiments, there may also be a conversion mechanism between the input signal 100 and the image signal 106, making the input signal 100 different from the image signal 106.
[0088] Figure 7 Schematic diagram showing the gray-scale signal conversion mechanism of a transparent display according to an embodiment of the present disclosure. Refer to Figure 7 From the perspective of the effect of gray-scale signal conversion, for the image of the input signal 100, the converted image content 140' obtained after being converted by the gray-scale signal conversion unit 100_1 presents a converted gray-scale Gray distribution corresponding to the image content 140. In the image content 140', the blue color belonging to the background 144 is easily shown to be distinguishable from the actual image main body 142 (jellyfish), so that the signal recognition unit 114B can recognize it more effectively.
[0089] Here, it should be noted that the previous conversion mechanism is gray-scale conversion, but the present disclosure is not limited to a specific conversion mechanism. For example, it can also perform a binarization conversion mechanism or an edge enhancement conversion mechanism. The binarization conversion mechanism can, for example, according to the known value of the converted gray-scale Gray, further divide the image content 140' into two gray-scales with a threshold value M, such as two values of 0 (darkest) and 255 (brightest), for presenting an image with only black and white colors. The edge enhancement conversion mechanism can adopt generally known methods, such as the shift-and-difference method, the gradient method, or the Laplacian method, etc., but the present disclosure is not limited to this.
[0090] Figure 8 Schematic diagram showing a processing circuit for identification by hue according to an embodiment of the present disclosure. Refer to Figure 8, the signal processing method can also be analyzed according to the hue. The type of hue can determine a hue according to the range of grayscales of red, green and blue. In other words, when the display device includes a first pixel and a second pixel, and the red grayscale R1 of the first pixel and the red grayscale R2 of the second pixel are located in the same red grayscale range, the green grayscale G1 of the first pixel and the green grayscale G2 of the second pixel are located in the same green grayscale range, and the blue grayscale B1 of the first pixel and the blue grayscale B2 of the second pixel are located in the same blue grayscale range, then the first pixel and the second pixel belong to the same hue. By dividing the grayscales of red, green and blue in the image content into multiple ranges, a variety of hues can be defined. It should be noted that the division method of hue may change with factors such as manufacturers or the market to which the product corresponds. Taking hue 1 in this embodiment as an example, the range of the corresponding red grayscale R is, for example, between 120 and 130. The range of the green grayscale G is, for example, between 120 and 140. The range of the blue grayscale B is, for example, between 0 and 10. In this way, the hues of the plurality of image regions 150_1, 150_2, 150_3, and 150_4 can be distinguished according to the preset grayscale range, and the hue type is input to the selector 132 for identification.
[0091] When recognizing image content, when the area of the same hue is smaller, the area may correspond to the image subject itself, and the control signal 104 corresponding to the area can be set to low transparency. Conversely, when the area of the same hue becomes larger, the area may correspond to the background, and the control signal 104 corresponding to the area can correspond to high transparency. Fig.10 In the embodiment shown, a plurality of continuous image regions 150_1, 150_2, and 150_3 are of the same hue, so these regions may be determined as background and correspond to high transparency, while only one image region 150_4 is of another hue, so it may be determined as the image subject itself and correspond to low transparency. It should be noted that this embodiment is only an example, and the present disclosure does not limit the definition of hue types and the hue analysis mechanism.
[0092] Fig. 9 FIG. 1 is a schematic diagram showing the effect of identifying by hue according to an embodiment of the present disclosure. Fig. 9 For an input image content 140, the pixel range distribution corresponding to each hue in the image content, or the number of hues contained in a certain range (hue density) can be analyzed to determine the image subject and background. For example, in range 1 or range 2 of the image content 140, the hue does not change much, which is more likely to be the background. In range 3, the number of hues is larger, such as the hue density is higher, which is more likely to be the image subject itself. It should be noted that different positions, such as Fig. 9The background hues of range 1 and range 2 may be different.
[0093] Fig.10 FIG. 1 is a schematic diagram of a circuit for identifying a circuit according to time variation according to an embodiment of the present disclosure. Fig.10 , when the input signal corresponds to a series of dynamic images, the recognition mechanism can also be judged based on the change in hue over time. For example, the time point of image 152_1 is t1, the time point of image 152_2 is t2, and the time point of image 152_3 is t3. It is generally known that since the image subject (such as the jellyfish in this embodiment) moves, the background image mostly changes slowly. Therefore, the hue change of the pixel corresponding to the position of the image subject is more obvious. Therefore, by detecting multiple continuous images, such as three continuous images corresponding to t1 to t3, the change of the hue of the pixel over time can determine the area in the image that belongs to the background or the image subject. For example, for a detected pixel, if the hue change in three images at three consecutive times is small, it can be judged that it belongs to the background and can be set to high transparency. On the contrary, for pixels with large hue changes, it is judged that they belong to the image subject and can be set to low transparency. It should be noted that the number of images used for time judgment in the present disclosure is not limited to three, and the image being judged is not necessarily the last image among several consecutive images. In some embodiments, the image being judged may be the first image or the middle image among several consecutive images.
[0094] Fig.11 A schematic diagram showing another identification mechanism according to an embodiment of the present disclosure is shown. Fig.11 Another recognition mechanism is that, for a detection area, the difference points between the two images 180 and 182 displayed at different time points can be compared. Image judgment is performed when the difference value is greater than or less than the difference threshold value. This recognition mechanism is that at the time point corresponding to image 180, the image subject and the background exist, while at the time point corresponding to image 182, the image subject disappears, leaving only the background. It can be judged that the difference between image 180 and image 182 lies in the range of the image subject, so the transparency of the image subject range can be adjusted to low transparency, and the transparency of the background range can be adjusted to high transparency.
[0095] Therefore, if we adopt Fig.11 In this way, image 180 and image 182 can be subtracted to obtain a difference image 184, so that the grayscale of the background will be effectively removed to obtain a relatively simple image body. Subsequently, signal recognition is performed based on the image converted from this signal, which is helpful to identify the area belonging to the background and set it to high transparency.
[0096] As described above, the transparent display disclosed in the present invention can roughly identify the area belonging to the background according to the preset recognition mechanism after receiving the input signal. For the transparent area of the pixels corresponding to the background area, its transparency can be higher to allow more ambient light to pass through its transparent area. The transparent area of the pixels corresponding to the main body of the image can have a lower transparency to reduce the influence of ambient light and improve the contrast of the image.
[0097] Although the embodiments and advantages of the present disclosure have been disclosed as above, it should be understood that any technician in the relevant technical field can make changes, substitutions and modifications without departing from the spirit and scope of the present disclosure. In addition, the scope of protection of the present disclosure is not limited to the devices, methods and steps in the specific embodiments described in the specification. Any technician in the relevant technical field can understand the current or future developed devices, methods and steps from the disclosure of the present disclosure. As long as they can implement substantially the same functions or obtain substantially the same results in the embodiments described herein, they can be used according to the present disclosure. Therefore, the scope of protection of the present disclosure includes the above-mentioned devices, methods and steps. In addition, each claim constitutes an individual embodiment, and the scope of protection of the present disclosure also includes the combination of each claim and embodiment. The scope of protection of the present disclosure shall be defined as the attached claims.
Claims
1. A signal processing method for a transparent display, characterized in that: The signal processing method comprises: receiving an input signal; Performing a signal conversion step to convert the input signal into a converted signal; Performing a signal recognition step according to the converted signal; generating an image signal from the input signal and generating a control signal from the result of the signal recognition step; Outputting the image signal for light emission adjustment of the transparent display; as well as Outputting the control signal for adjusting the transparency of the transparent display; The converted signal includes a converted grayscale of at least one pixel, and the converted grayscale of the at least one pixel is obtained by summing the values of the red grayscale, the green grayscale, and the blue grayscale of the at least one pixel after being multiplied by the corresponding preset coefficients. The signal conversion step is performed according to edge enhancement and the preset coefficient corresponding to the green grayscale is greater than the preset coefficient corresponding to the red grayscale.
2. The signal processing method according to claim 1, characterized in that: The image signal and the control signal are generated by performing the signal recognition step on the input signal.
3. The signal processing method according to claim 2, characterized in that: Performing the signal recognition step includes comparing the grayscale of the input signal with a predetermined grayscale.
Citation Information
Patent Citations
Transparent display device and transparency adjusting method thereof
CN103489412A
Transparent display device and transparency adjustment method thereof
US20130314433A1
Transparent display device and transparency adjustment method thereof
US20130314453A1