Image display method, device, equipment and storage medium

Abstract

The present invention relates to the field of display technology, and discloses an image display method, device, equipment and storage medium, the method comprising: obtaining an input image to be displayed on an OLED display panel, and determining the power consumption parameters of the input image; determining a low-power image of the input image when the power consumption parameters are lower than a preset power consumption parameter, and selecting a candidate image from the low-power image; converting the candidate image to a Lab color space, and calculating the color difference between the input image and the candidate image in the Lab color space; determining a target display image to be displayed from the candidate image according to the color difference, and displaying the target display image on the OLED display panel. The present invention selects a candidate image from the low-power image, and then displays the image to be displayed on the OLED display panel according to the color difference between the input image and the candidate image, thereby reducing power consumption while ensuring the quality of the displayed image and improving the user's viewing experience.

Description

Technical Field

[0001] The present invention relates to the field of display technology, and in particular to an image display method, device, equipment and storage medium. Background Art

[0002] Organic Light-Emitting Diode (OLED) is widely used in smart mobile terminals due to its high image quality, low power consumption, and low cost. The energy consumption of the screen display part of the smart mobile terminal, that is, the power consumption of the OLED display screen, is the main part of the energy consumption of the entire smart mobile terminal device.

[0003] At present, in order to reduce the power consumption of OLED display screens, the method used is to reduce the power consumption of OLED display screens by reducing the power consumption of image RGB pixels. However, the reduction of image RGB pixel values ​​will affect the quality of the final displayed image. Therefore, the above method cannot guarantee the quality of the final displayed image when reducing power consumption. There is a problem of poor image quality after reducing power consumption, which affects the user's viewing experience.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide an image display method, device, equipment and storage medium, aiming to solve the technical problem that the prior art cannot guarantee the quality of the final displayed image when reducing power consumption, and the image quality is poor after reducing power consumption.

[0006] To achieve the above object, the present invention provides an image display method, which comprises the following steps:

[0007] Acquire an input image to be displayed on the OLED display panel, and determine power consumption parameters of the input image;

[0008] Determine a low power consumption image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and select a candidate image from the low power consumption images;

[0009] Convert the candidate image into a Lab color space, and calculate the color difference between the input image and the candidate image in the Lab color space;

[0010] A target display image to be displayed is determined from the candidate images according to the color difference, and the target display image is displayed on the OLED display panel.

[0011] Optionally, the power consumption parameter includes brightness and saturation, the preset power consumption parameter is a preset brightness threshold, and the step of determining a low power consumption image of the input image when the power consumption parameter is lower than the preset power consumption parameter, and selecting a candidate image from the low power consumption image includes:

[0012] Convert the input image into the HSV color space to obtain initial HSV data;

[0013] Acquire, in the HSV color space, according to the initial HSV data, a first image in which the brightness of the input image changes within a range lower than the preset brightness threshold, and use the first image as a low-power image;

[0014] A second image whose saturation is greater than a preset saturation threshold is selected from the low-power consumption image, and the second image is used as a candidate image.

[0015] Optionally, before the step of converting the input image into the HSV color space to obtain initial HSV data, the step further includes:

[0016] Convert the input image into Lab color space to obtain initial Lab data;

[0017] Accordingly, the step of converting the candidate image into a Lab color space and calculating the color difference between the input image and the candidate image in the Lab color space comprises:

[0018] Convert the input image into Lab color space to obtain initial Lab data;

[0019] Convert the candidate image into the Lab color space to obtain candidate Lab data;

[0020] The deviation between the initial Lab data and each candidate Lab data is calculated in the Lab color space, and the deviation is used as the color difference between the input image and the candidate image.

[0021] Optionally, the step of determining a target display image to be displayed from the candidate images according to the color difference comprises:

[0022] Determine whether there is target Lab data with a deviation equal to the target deviation among the candidate Lab data;

[0023] If the target Lab data exists, a target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed.

[0024] Optionally, after the step of determining whether there is target Lab data with a deviation equal to a target deviation among the candidate Lab data, the step further includes:

[0025] If the target Lab data does not exist, the degree of proximity between each deviation and the target deviation is calculated, and the target Lab data whose degree of proximity reaches a preset degree is selected from the candidate Lab data;

[0026] A target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as a target display image to be displayed.

[0027] Optionally, the step of displaying the target display image on the OLED display panel includes:

[0028] Convert the target display image into RGB color space to obtain sub-pixel grayscale information of the target display image;

[0029] The target display image is displayed on the OLED display panel according to the sub-pixel grayscale information.

[0030] Optionally, the step of displaying the target display image on the OLED display panel according to the sub-pixel grayscale information includes:

[0031] Acquire target current parameter information corresponding to the sub-pixel grayscale information from a preset mapping table, wherein the preset table records the correspondence between each sub-pixel grayscale information and current parameter information;

[0032] A driving signal is generated according to the target current parameter information, and the driving signal is input to the OLED display panel, so that the OLED display panel displays the target display image.

[0033] In addition, to achieve the above object, the present invention further provides an image display device, the device comprising:

[0034] An image acquisition module, used to acquire an input image to be displayed on the OLED display panel and determine power consumption parameters of the input image;

[0035] An image selection module, used for determining a low-power image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and selecting a candidate image from the low-power image;

[0036] A color difference calculation module, used for converting the candidate image into a Lab color space and calculating the color difference between the input image and the candidate image in the Lab color space;

[0037] An image display module is used to determine a target display image to be displayed from the candidate images according to the color difference, and display the target display image on the OLED display panel.

[0038] In addition, to achieve the above objectives, the present invention also proposes an image display device, which includes: a memory, a processor, and an image display program stored in the memory and executable on the processor, wherein the image display program is configured to implement the steps of the image display method described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which an image display program is stored, and when the image display program is executed by a processor, the steps of the image display method described above are implemented.

[0040] The present invention improves an image display method, device, equipment and storage medium, which obtains an input image to be displayed on an OLED display panel and determines the power consumption parameters of the input image; determines a low-power image of the input image when the power consumption parameters are lower than a preset power consumption parameter, and selects a candidate image from the low-power image; converts the candidate image to a Lab color space, and calculates the color difference between the input image and the candidate image in the Lab color space; determines the target display image to be displayed from the candidate image according to the color difference, and displays the target display image on the OLED display panel. The present invention selects a candidate image from the low-power image, and then displays the image to be displayed on the OLED display panel according to the color difference between the input image and the candidate image. Compared with the prior art that reduces the power consumption of the OLED display screen by reducing the power consumption of the image RGB pixels, there is a problem of poor image quality after reducing the power consumption. The present invention can reduce the power consumption while ensuring the quality of the displayed image, effectively improving the user's perception. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the structure of an image display device in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 It is a flowchart of a first embodiment of an image display method of the present invention;

[0043] Figure 3 Schematic diagram of the basic structure of OLED in the first embodiment of the image display method of the present invention;

[0044] Figure 4 This is a schematic diagram of the RGB color space in the first embodiment of the image display method of the present invention;

[0045] Figure 5 This is a schematic diagram of the HSV color space in the first embodiment of the image display method of the present invention;

[0046] Figure 6 is a schematic flow chart of a second embodiment of an image display method of the present invention;

[0047] Figure 7 This is a schematic diagram of the Lab color space in the second embodiment of the image display method of the present invention;

[0048] Figure 8 A Lab color space color difference partition quadrant diagram in the second embodiment of the image display method of the present invention;

[0049] Fig. 9 is a schematic flow chart of a third embodiment of an image display method of the present invention;

[0050] Fig.10 A schematic diagram of driving currents corresponding to different sub-pixel grayscales in a third embodiment of an image display method of the present invention;

[0051] Fig.11 This is a block diagram of a system for reducing power consumption of an OLED display screen in a third embodiment of an image display method of the present invention;

[0052] Fig.12 This is a flow chart of reducing the power consumption of an OLED display screen in the third embodiment of the image display method of the present invention;

[0053] Fig.13 FIG. 1 is a structural block diagram of a first embodiment of an image display device according to the present invention.

[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0056] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an image display device in a hardware operating environment involved in an embodiment of the present invention.

[0057] like Figure 1As shown, the image display device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0058] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the image display device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0059] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an image display program.

[0060] exist Figure 1 In the image display device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the image display device of the present invention can be set in the image display device, and the image display device calls the image display program stored in the memory 1005 through the processor 1001, and executes the image display method provided by an embodiment of the present invention.

[0061] The embodiment of the present invention provides an image display method, referring to Figure 2 , Figure 2 FIG. 4 is a flow chart of a first embodiment of an image display method according to the present invention.

[0062] In this embodiment, the image display method includes the following steps:

[0063] Step S10: obtaining an input image to be displayed on the OLED display panel, and determining power consumption parameters of the input image.

[0064] It should be noted that the execution subject of the method of this embodiment can be a computing service device with image display, network communication and program running functions, such as a mobile phone, a tablet computer, a personal computer, etc., and can also be other electronic devices that achieve the same or similar functions. The following is an explanation of this embodiment and the following embodiments using the above-mentioned image display device (referred to as display device).

[0065] It is understandable that the above-mentioned OLED display panel is composed of many tiny organic light-emitting diodes, which can produce images by activating organic materials to emit light through electric current. Compared with liquid crystal display panels, OLED does not use backlight, has self-luminous characteristics, and each pixel component used to display images can be driven independently. Unlike liquid crystal display panels that reduce energy consumption by lowering the intensity of light sources, OLED achieves energy saving by adjusting the brightness and color intensity of displayed content. Figure 3 As shown, Figure 3 This is a schematic diagram of the basic structure of OLED in the first embodiment of the image display method of the present invention. The commonly used OLED structure currently adopts a power supply, a cathode (metal), a glass substrate and a three-layer electrode intermediate layer structure, and the three-layer electrode intermediate layer structure includes an electron transport layer (ETL), an organic light-emitting layer (ELL) and a hole transport layer (HTL); it realizes full-color display injection using three methods: an independent light-emitting material method, a light color conversion method and a color filter film method. Furthermore, since the OLED display screen does not require a backlight source to light up the display, but relies on the action of an external electric field to trigger the injection, migration and recombination process of carriers, thereby generating exciton machine migration luminescence and releasing energy, the power consumption generated by the OLED display screen is proportional to the intensity of the luminescence. The main way to reduce energy consumption is to reduce the pixel intensity of the displayed image. In modern display systems, Gamma correction is widely used to change the brightness of the real image to change the size of the power consumption. However, simply relying on reducing pixel intensity to reduce display energy consumption will affect image quality, so this embodiment is proposed.

[0066] It should be noted that the above power consumption parameters may be parameters that are related to the input image and affect the power consumption of the OLED display panel, such as brightness.

[0067] In a specific implementation, the display device may receive an input image inputted by a signal source and required to be displayed on the OLED display panel, and determine a power consumption parameter related to the input image and affecting the power consumption of the OLED display panel.

[0068] Step S20: determining a low-power image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and selecting a candidate image from the low-power image.

[0069] It should be noted that the above-mentioned preset power consumption parameter is a parameter for determining that the power consumption parameter is too large, causing the OLED display panel to generate large power consumption when displaying an image. That is, if the power consumption parameter is lower than the preset power consumption parameter, it is determined that the power consumption of the OLED display panel corresponding to the power consumption parameter is low when displaying an image. On the contrary, if the power consumption parameter is greater than or equal to the preset power consumption parameter, it is determined that the power consumption of the OLED display panel corresponding to the power consumption parameter is high when displaying an image.

[0070] It is understandable that the low-power image may be an image whose power consumption parameter is lower than a preset power consumption parameter and which results in lower power consumption of the OLED display panel when displayed.

[0071] It should be noted that the above-mentioned candidate images are a set of images including the final display image.

[0072] In a specific implementation, in order to reduce the power consumption of the OLED display panel, the above-mentioned display device can adjust the power consumption parameters of the input image at a fixed frequency within a range lower than the preset power consumption parameters, and obtain images under different power consumption parameters. Since the power consumption parameters of each image obtained are lower than the preset power consumption parameters, each image obtained can be used as a low-power image. Furthermore, if the low-power image is displayed directly, some low-power images may have poor quality. Therefore, candidate images can be selected from the low-power images based on the perception of the image by the human eye.

[0073] It should be understood that the human eye's perception of an image can be represented by a preset quality parameter range, that is, if the quality parameter of an image is within the preset quality parameter range, it can be determined that the human eye's perception of the image is better. Therefore, an image whose quality parameter is within the preset quality parameter range is selected from the above low-power images as a candidate image. The above quality parameter may be a parameter related to image display quality, such as saturation.

[0074] Step S30: converting the candidate image into a Lab color space, and calculating the color difference between the input image and the candidate image in the Lab color space.

[0075] It should be noted that color difference is an indicator used to indicate the degree of difference between the colors of two images. It measures the offset or difference of one color relative to another color in the color space.

[0076] It is understandable that the color spaces currently used include RGB color space, HSV color space and Lab color space, such as Figure 4 As shown, Figure 4The figure is a schematic diagram of the RGB color space in the first embodiment of the image display method of the present invention. The RGB color space is the most basic and most used color space for hardware, that is, an image is represented by three channels, namely red R (255, 0, 0), green G (0, 0, 255) and blue B (0, 0, 255). The display panel can use the linear combination of these three color channels to represent any color, but it has certain limitations in image processing. Since any color is related to these three components, and these three components are highly correlated, it is not intuitive to continuously change the color. If you want to adjust the color of the image, you need to change these three components. Moreover, the three components of the RGB color space are closely related to the brightness, that is, as long as the brightness changes, the three components will change accordingly. Therefore, for a certain color, it is difficult to infer a more accurate three-component value to represent it. For monochrome, the sensitivity of the human eye is also different. Among them, it is the least sensitive to red and the most sensitive to blue. Therefore, the RGB color space is a color space with poor uniformity. It is only suitable for display systems, cannot calculate color differences, and is not suitable for image processing.

[0077] Furthermore, the current power consumption reduction method is applied to the above RGB color space. In order not to rely on external strategy tools to calculate power, the pixel-level OLED model is used. The calculation formula is as follows:

[0078]

[0079] Where P total is the total pixel power consumption, n is the total number of pixels, R i , G i , B i are the R, G, and B components of the i-th pixel in the display content, respectively. The index γ is the Gamma correction value of the display content in the standard RGB color space. The coefficient w r 、w g 、w b They are the energy efficiency coefficients of the three primary colors R, G, and B respectively. It can be seen that if the above method is to reduce the power consumption of the OLED display panel, reducing the power consumption of the image RGB pixels is the most effective way. However, as the RGB pixel values ​​decrease, the final display quality of the image will inevitably be affected. Therefore, this method cannot reduce the power consumption of the OLED display panel while ensuring the final display quality of the image. Therefore, in order to overcome this problem, this embodiment adopts the Lab color space.

[0080] For ease of understanding, refer to Figure 5 This is for illustration only, but does not limit this solution. Figure 5 This is a schematic diagram of the HSV color space in the first embodiment of the image display method of the present invention. Figure 5In the Lab color space, it is composed of three elements: brightness L and a and b of related colors. L represents brightness, and its value range is -L~+L. +L represents the maximum brightness, which is white, and -L represents the minimum brightness, which is black. a represents the range from red to green, and its value range is -a~+a. +a represents red, and -a represents green. b represents the range from yellow to blue, and its value range is -b~+b. +b represents yellow, and -b represents blue. Any color in nature can be expressed in Lab space, and this color representation method describes human visual perception in a digital way (coordinates in space).

[0081] In a specific implementation, the display device may convert the candidate image into the Lab color space to obtain the numerical representation of each point of the candidate image in the Lab color space. At the same time, the input image is also converted into the Lab color space to obtain the numerical representation of each point of the input image in the Lab color space. Then, the color difference between the input image and the image is calculated based on the numerical representations of the candidate image and the input image in the Lab color space. ab It can directly represent the difference in the human eye's perception of the color of an object, for example, ΔE ab When the value range is 0 to 1, the naked eye cannot distinguish the color difference; ΔE ab When the value range is 1 to 2, the naked eye can slightly perceive the color difference; ΔE ab When the value range is 2 to 3, the naked eye can clearly distinguish the color difference; ΔE ab When the value range is 3 to 5, the naked eye can perceive very obvious color difference; ΔE ab When the value is greater than 5, the naked eye can perceive a very large color difference, and it may even look like two different colors.

[0082] Step S40: determining a target display image to be displayed from the candidate images according to the color difference, and displaying the target display image on the OLED display panel.

[0083] In a specific implementation, the display device may select a standard color difference value with a better visual effect from the color difference value range, such as ΔE ab =2, then determine the target display image whose color difference is the standard color difference value or close to the standard color difference value from the candidate images, and send the relevant data of the target display image to the OLED display panel, so that the OLED display target displays the target display image. The candidate image selected before calculating the color difference is a low-power image, so it takes into account both the real-time reduction of display power consumption and the human eye's taste recognition of the original image and the image after power consumption reduction, and takes into account both power consumption reduction and high-quality display, avoiding the problem of reduced display image quality due to reduced power consumption.

[0084] This embodiment obtains an input image to be displayed on the OLED display panel and determines the power consumption parameters of the input image; determines a low-power image of the input image when the power consumption parameters are lower than the preset power consumption parameters, and selects a candidate image from the low-power image; converts the candidate image to the Lab color space, and calculates the color difference between the input image and the candidate image in the Lab color space; determines the target display image to be displayed from the candidate image according to the color difference, and displays the target display image on the OLED display panel. This embodiment selects a candidate image from the low-power image, and then displays the image to be displayed on the OLED display panel according to the color difference between the input image and the candidate image. Compared with the prior art that reduces the power consumption of the OLED display by reducing the power consumption of the RGB pixels of the image, there is a problem of poor image quality after reducing the power consumption. This embodiment can reduce the power consumption while ensuring the quality of the displayed image, effectively improving the user's viewing experience.

[0085] refer to Figure 6 , Figure 6 FIG. 4 is a flow chart of a second embodiment of an image display method according to the present invention.

[0086] Based on the above first embodiment, in this embodiment, the power consumption parameter includes brightness and saturation, the preset power consumption parameter is a preset brightness threshold, and step S20 includes:

[0087] Step S201: convert the input image into the HSV color space to obtain initial HSV data.

[0088] For ease of understanding, refer to Figure 7 This is for illustration only, but does not limit this solution. Figure 7 This is a schematic diagram of the Lab color space in the second embodiment of the image display method of the present invention. Figure 7In the HSV color space, Hue (H) is the hue, Saturation (S) is the saturation, and Value (V) is the brightness. The cross section can be regarded as a polar coordinate system. H is represented by the polar angle of the polar coordinate, S is represented by the polar axis length of the polar coordinate, and V is represented by the height of the axis. Starting from red and rotating counterclockwise, red, yellow, green, cyan, blue, magenta, and red can be represented in turn, so that all colors can be represented by this polar coordinate. H = 0° represents red, H = 120° represents green, and H = 240° represents blue. The horizontal direction represents saturation S, and the saturation value range is 0-100%. Saturation 0 represents pure white. The larger the value, the more saturated the color. The vertical direction represents brightness V, which determines the brightness of the color in the color space. The brightness value range is 0-100%. A brightness of 0.0 represents pure black (the darkest color at this time), and a brightness of 1.0 represents white. The higher the brightness, the brighter the color. The HSV color space is closer to the human eye's perception of color than RGB, and the three physical quantities are independent of each other, that is, the hue value is processed separately without affecting the brightness and saturation, or the brightness and saturation are changed separately without affecting the color itself. Therefore, this embodiment uses the HSV color space to extract low-power images.

[0089] In a specific implementation, the above-mentioned display device can convert the input image into the HSV color space, obtain the hue component, saturation component and brightness component of each point in the input image in the HSV color space, and use the hue component, saturation component and brightness component of each point as initial HSV data.

[0090] Step S202: acquiring, in the HSV color space according to the initial HSV data, a first image in which the brightness of the input image varies within a range lower than the preset brightness threshold, and using the first image as a low-power image.

[0091] It should be noted that the above-mentioned preset brightness threshold can be a brightness threshold for determining that the brightness is high and the power consumption of the OLED display panel increases. That is, if the brightness of the image is greater than the preset brightness threshold, it can be determined that the image is brighter and the power consumption of the OLED display panel will increase. Correspondingly, if the brightness of the image is lower than the preset brightness threshold, it can be determined that the image is moderate or darker and the power consumption of the OLED display panel will not increase.

[0092] In a specific implementation, the above-mentioned display device can change the saturation and brightness of the input image in the HSV space at a 100% change rate based on the initial HSV data to obtain images with different saturation and brightness, and the change in brightness and saturation means the change in the output power consumption of the R, G, and B sub-pixels, so different pictures represent different power consumption. Therefore, the saturation and brightness in the HSV space can be used as power consumption parameters, and accordingly, the preset brightness threshold can be used as the preset power consumption parameter. The display device can first obtain all first images whose brightness is lower than the preset brightness threshold. Since the brightness of the first images is lower than the preset brightness threshold, the first images can be used as low-power images.

[0093] Step S203: Selecting a second image whose saturation is greater than a preset saturation threshold from the low-power image, and using the second image as a candidate image.

[0094] It should be noted that the above-mentioned preset saturation threshold can be a threshold for judging whether an image is highly saturated. That is, if the saturation of the image is greater than the saturation threshold, the image can be judged to be highly saturated. Correspondingly, if the saturation of the image is lower than the saturation threshold, the image can be judged to be low saturated.

[0095] In a specific implementation, in addition to reducing the power consumption of the OLED display panel, the image quality must also be considered. Since saturation represents the degree of a color relative to grayscale, a higher saturation means that the color is more vivid and bright, while a lower saturation is closer to gray. Therefore, saturation can be used as a quality parameter related to image display quality. The above-mentioned display device can select all second images whose saturation is greater than the above-mentioned preset saturation threshold from the above-mentioned low-power consumption image. Since the brightness of the second images is higher than the preset saturation threshold, the second images are all highly saturated images with good image quality and can be used as candidate images.

[0096] This embodiment obtains initial HSV data by converting the input image into the HSV color space; in the HSV color space, according to the initial HSV data, obtains a first image in which the brightness of the input image changes within a range lower than a preset brightness threshold, and uses the first image as a low-power image; selects a second image whose saturation is greater than a preset saturation threshold from the low-power image, and uses the second image as a candidate image. This embodiment selects a first image whose brightness is lower than a preset brightness threshold as a low-power image, and then selects a second image whose saturation is greater than a preset saturation threshold from the low-power image as a candidate image, so that the candidate image has low power consumption and high saturation image quality, and effectively improves the accuracy of candidate image selection.

[0097] Furthermore, in this embodiment, before step S201, the following steps are further included:

[0098] The input image is converted into the HSV color space to obtain initial HSV data.

[0099] In a specific implementation, in order to calculate the color difference between the input image and the candidate image in the Lab color space, the above-mentioned display device may convert the above-mentioned input image into the above-mentioned Lab color space, obtain the L component, a component and b component of each point in the input image in the Lab color space, and use the L component, a component and b component of each point in the input image as initial HSV data.

[0100] Accordingly, the step S30 includes:

[0101] Step S301: convert the candidate image into the Lab color space to obtain candidate Lab data.

[0102] In a specific implementation, in order to calculate the color difference between the input image and the candidate image in the Lab color space, the above-mentioned display device may convert the above-mentioned candidate image into the above-mentioned Lab color space, obtain the L component, a component and b component of each point in the candidate image in the Lab color space, and use the L component, a component and b component of each point in the candidate image as candidate HSV data.

[0103] Step S302: Calculate the deviation between the initial Lab data and each candidate Lab data in the Lab color space, and use the deviation as the color difference between the input image and the candidate image.

[0104] In a specific implementation, the display device may calculate the deviation between the initial Lab data and each candidate Lab data by a preset deviation formula, that is, calculate the deviation between the L component, a component and b component and the L component, a component and b component in each candidate Lab data, and use the calculated deviation as the color difference between the input image and the candidate image. The preset deviation formula is as follows:

[0105]

[0106] In the formula, ΔE ab is the deviation between the initial Lab data and the candidate Lab data, ΔL is the difference between the L component in the initial Lab data and the L component in the candidate Lab data, Δa is the difference between the a component in the initial Lab data and the a component in the candidate Lab data, and Δb is the difference between the b component in the initial Lab data and the b component in the candidate Lab data.

[0107] Furthermore, in this embodiment, the step of determining the target display image to be displayed from the candidate images according to the color difference includes:

[0108] Step S41: Determine whether there is target Lab data with a deviation equal to the target deviation among the candidate Lab data.

[0109] It should be noted that the above target deviation is a preset standard deviation value with better visual effect, such as 2. That is, if the deviation is the standard deviation, it can be determined that the color difference between the candidate image and the input image at this time is the best. Correspondingly, if the deviation is not the standard deviation and is close to the standard deviation, it can be determined that the color difference between the candidate image and the input image at this time is better. If the deviation is not the standard deviation and is far from the standard deviation, it can be determined that the color difference between the candidate image and the input image at this time is worse.

[0110] In a specific implementation, the display device may obtain a pre-selected or pre-set target deviation, and then compare the calculated deviations with the target deviation to determine whether there is target Lab data with a deviation equal to the target deviation in the candidate Lab data.

[0111] Step S42: If the target Lab data exists, a target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed.

[0112] In a specific implementation, when the display device detects that the target Lab data exists in the candidate Lab data, it can determine that the color difference between the image corresponding to the target Lab data and the input image is the best and the visual effect is the best, and then it can extract the target Lab data and select the target candidate image corresponding to the target Lab data from the candidate images, and use the target candidate image as the target display image to be displayed.

[0113] Furthermore, in this embodiment, after step S41, the following steps are further included:

[0114] Step S42 ′: if the target Lab data does not exist, then the degree of proximity between each deviation and the target deviation is calculated, and the target Lab data whose degree of proximity reaches a preset degree is selected from the candidate Lab data.

[0115] It should be noted that the above-mentioned preset degree can be a degree for judging whether the degree of closeness between the deviation and the target deviation is high. That is, if the degree of closeness between the deviation and the target deviation reaches the preset degree, it can be judged that the degree of closeness between the deviation and the target deviation is high; conversely, if the degree of closeness between the deviation and the target deviation does not reach the preset degree, it can be judged that the degree of closeness between the deviation and the target deviation is low.

[0116] In a specific implementation, when the display device detects that the target Lab data does not exist in the candidate Lab data, it can calculate the degree of proximity between each deviation and the target deviation, and then select the target Lab data whose degree of proximity reaches a preset degree from the candidate Lab data, that is, select the target Lab data whose degree of proximity is relatively close to the target deviation.

[0117] Step S43 ′: selecting a target candidate image corresponding to the target Lab data from the candidate images, and using the target candidate image as the target display image to be displayed.

[0118] In a specific implementation, since the deviation of the target Lab data at this time is relatively close to the target deviation, the above-mentioned display device can determine that the color difference between the image corresponding to the target Lab data and the input image is better, the visual effect is better, and it meets the requirements, so the target Lab data can be extracted, and the target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed.

[0119] For ease of understanding, refer to Figure 8 This is for illustration only, but does not limit this solution. Figure 8 This is a Lab color space color difference partition quadrant diagram in the second embodiment of the image display method of the present invention, Figure 8In the HSV color space, by adjusting the brightness and saturation, images with different power consumption can be obtained. Then, according to the coordinate system, each image is divided into four quadrants A (first quadrant), B (second quadrant), C (third quadrant) and D (fourth quadrant) by saturation S and brightness V, so that each image can be divided by display taste (saturation S) and power consumption (brightness V). Among them, the origin (0, 0) is the input image, the A area is divided by brightness 0~1 and saturation 0~1, the B area is divided by brightness -1~0 and saturation 0~1, the C area is divided by brightness -1~0 and saturation -1~0, the D area is divided by brightness 0~1 and saturation -1~0, the brightness 0.5 is the midpoint of brightness 0~1, the brightness -0.5 is the midpoint of brightness -1~0, the saturation 0.5 is the midpoint of saturation 0~1, and the saturation -0.5 is the midpoint of saturation -1~0. Assuming that brightness 0 is the above-mentioned preset brightness threshold, and saturation 0 is the preset saturation threshold, the taste characteristics of the image in area A are high brightness and high saturation, and the image power consumption is the highest; the taste characteristics of the image in area B are low brightness and high saturation, and the image power consumption is relatively low; the taste characteristics of the image in area C are low brightness and low saturation, and the image power consumption is the lowest; the taste characteristics of the image in area D are high brightness and low saturation, and the image power consumption is relatively high. It can be known that the images in areas B and C have relatively low corresponding power consumption, and are the above-mentioned low-power images, but considering the display taste, the image in area B can be used as a candidate image, and considering the perception of the human eye to the image, an image with a color difference of the standard color difference (i.e., the above-mentioned standard deviation) or close to the standard color difference can be selected as the required target display image.

[0120] This embodiment obtains initial Lab data by converting an input image into a Lab color space, and obtains candidate Lab data by converting a candidate image into a Lab color space; the deviation between the initial Lab data and each candidate Lab data is calculated in the Lab color space, and the deviation is used as the color difference between the input image and the candidate image. In this embodiment, when there is target Lab data with a deviation equal to the target deviation in each candidate Lab data, a target candidate image corresponding to the target Lab data is selected from the candidate image as the target display image to be displayed; when there is no target Lab data with a deviation equal to the target deviation in each candidate Lab data, target Lab data with a degree of proximity reaching a preset degree is selected from each candidate Lab data, and a target candidate image corresponding to the target Lab data is selected from the candidate image as the target display image to be displayed, thereby effectively improving the accuracy of selecting the target display image to be displayed.

[0121] refer to Fig. 9 , Fig. 9 FIG. 4 is a flow chart of a third embodiment of an image display method according to the present invention.

[0122] Based on the above embodiments, a third embodiment of an image display method of the present invention is proposed.

[0123] In this embodiment, the step of displaying the target display image on the OLED display panel includes:

[0124] Step S401: converting the target display image into RGB color space to obtain sub-pixel grayscale information of the target display image.

[0125] In a specific implementation, the display device may convert the target display image into an RGB color space to obtain R / G / B sub-pixel grayscale information of each point in the target display image.

[0126] Step S402: displaying the target display image on the OLED display panel according to the sub-pixel grayscale information.

[0127] In a specific implementation, the display device may adjust the driving current of the OLED display target based on the numerical value corresponding to the grayscale information of each sub-pixel, so as to display the target display image on the OLED display panel.

[0128] Furthermore, in this embodiment, step S402 includes:

[0129] Step S4021: obtaining target current parameter information corresponding to the sub-pixel grayscale information from a preset mapping table, wherein the preset table records the correspondence between each sub-pixel grayscale information and current parameter information.

[0130] It should be noted that the above-mentioned preset mapping table can be pre-constructed, recording the correspondence between the grayscale information of each sub-pixel and the current parameter information, and the current parameter information is the current required to display the color corresponding to the sub-pixel grayscale information. Among them, the correspondence between the grayscale information of each sub-pixel and the current parameter information can be pre-constructed, that is, the corresponding current parameter information is allocated to each sub-pixel grayscale information.

[0131] For ease of understanding, refer to Fig.10 This is for illustration only, but does not limit this solution. Fig.10 Schematic diagram of driving current corresponding to different sub-pixel grayscales in the third embodiment of the image display method of the present invention, Fig.10 In the figure, the horizontal axis is the sub-pixel grayscale information, and the vertical axis is the OLED current, that is, the driving current of the OLED display target. Different values ​​of the R sub-pixel grayscale information (Red image in the figure), the G sub-pixel grayscale information (Green image in the figure), and the B sub-pixel grayscale information (Blue image in the figure) are all configured with corresponding OLED currents.

[0132] In a specific implementation, the display device may obtain the preset mapping table, and then determine the target current parameter information corresponding to the grayscale information of each sub-pixel of the target display image from the preset mapping table.

[0133] Step S4022: generating a driving signal according to the target current parameter information, and inputting the driving signal to the OLED display panel, so that the OLED display panel displays the target display image.

[0134] In a specific implementation, the above-mentioned display device can generate a driving signal of the corresponding current according to the above-mentioned target current parameter information, and then input the driving signal to the OLED display panel, and the OLED display panel displays the target display image. Compared with displaying the original input image, the power consumption of the OLED display target is lower at this time, and the display quality of the target display image is also better.

[0135] For ease of understanding, refer to Fig.11 This is for illustration only, but does not limit this solution. Fig.11 This is a system block diagram of reducing power consumption of an OLED display screen in the third embodiment of the image display method of the present invention. Fig.11 In the method, an image is first input, and after decoding, the image is converted into initial Lab data in the Lab color space and initial HSV data in the HSV color space. Then, the candidate images of the original image are calculated when the brightness (-100% to 0) and saturation (0 to 100%) of the HSV space change by 5%, and the obtained candidate images are converted into candidate Lab data in the Lab color space. Then, the color difference ΔE between the candidate images with different brightness and saturation and the input image is calculated in the Lab color space. ab , that is, calculate the deviation between the candidate Lab data and the initial Lab data. In order to minimize power consumption, select ΔE ab =2, the target display image corresponding to the target Lab data is the image data after power consumption reduction. Since the R / G / B grayscale of the image corresponds to the driving current, the driving current corresponding to the R / G / B sub-pixel can be found in the above preset mapping table through the R / G / B component of the target display image. After obtaining the driving current, the corresponding driving signal can be input to the OLED display screen driving data signal to display the corresponding picture. Among them, the above ΔEab=2 is an example, and it can also be other values ​​in actual application scenarios, and this embodiment is not limited to this.

[0136] For ease of understanding, refer to Fig.12 This is for illustration only, but does not limit this solution. Fig.12 This is a flow chart of reducing the power consumption of an OLED display screen in the third embodiment of the image display method of the present invention. Fig.12In the method, an image is first input, and the input image is converted into initial Lab data in Lab color space and initial HSV data in HSV color space, and the initial Lab data is stored in ROM1 and the initial HSV data is stored in ROM2; the initial HSV data in ROM2 is called, and candidate images when brightness (-100% to 0) and saturation (0 to 100%) change in HSV color space are obtained respectively, and the corresponding data of each candidate image is stored in ROM3 memory, and the candidate image in ROM3 memory is called, and each candidate image is converted into L*a*b* color space to obtain candidate Lab data, and each candidate Lab data is stored in ROM4 memory; through the initial Lab data stored in ROM1 and the candidate Lab data stored in ROM4, it can be calculated The color difference ΔEab between the candidate image with different brightness and saturation and the original image in the Lab color space is calculated, and the color difference is stored in the ROM5 memory; through the data stored in ROM5, the target display image that meets the requirements is determined and converted to the RGB color space, wherein, in order to minimize the output power consumption of the image, the image with the largest brightness reduction ratio in the HSV color space and ΔEab=2 (the naked eye can slightly perceive the difference from the original image) is selected as the target display image; the grayscale information of each R / G / B sub-pixel of the target display image is obtained, and the R / G / B driving data of each point of the image is determined by the preset mapping table. When inputting the OLED display screen, the driving data signal corresponding to the R / G / B sub-pixel is sent to the OLED display screen to display the corresponding image after power reduction. When different pictures are input, the above process is repeated, thereby achieving the purpose of reducing power consumption in real time according to the display picture.

[0137] This embodiment obtains sub-pixel grayscale information of the target display image by converting the target display image into the RGB color space; and displays the target display image on the OLED display panel according to the sub-pixel grayscale information. This embodiment obtains target current parameter information corresponding to the sub-pixel grayscale information from a preset mapping table, and the preset table records the correspondence between each sub-pixel grayscale information and current parameter information; generates a drive signal according to the target current parameter information, and inputs the drive signal to the OLED display panel, so that the OLED display panel displays the target display image. This embodiment obtains the target current parameter information corresponding to the sub-pixel grayscale information from the preset mapping table, generates a drive signal according to the target current parameter information, and effectively improves the efficiency of drive current generation, thereby improving the display efficiency of the target display image.

[0138] In addition, an embodiment of the present invention further provides a storage medium, on which an image display program is stored. When the image display program is executed by a processor, the steps of the image display method described above are implemented.

[0139] Reference Fig.13 , Fig.13 FIG. 1 is a structural block diagram of a first embodiment of an image display device according to the present invention.

[0140] like Fig.13 As shown, the image display device provided in the embodiment of the present invention includes:

[0141] The image acquisition module 501 is used to acquire an input image to be displayed on the OLED display panel and determine a power consumption parameter of the input image.

[0142] The image selection module 502 is used to determine a low-power image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and select a candidate image from the low-power image.

[0143] The color difference calculation module 503 is used to convert the candidate image into a Lab color space and calculate the color difference between the input image and the candidate image in the Lab color space.

[0144] The image display module 504 is used to determine a target display image to be displayed from the candidate images according to the color difference, and display the target display image on the OLED display panel.

[0145] This embodiment obtains an input image to be displayed on the OLED display panel and determines the power consumption parameters of the input image; determines a low-power image of the input image when the power consumption parameters are lower than the preset power consumption parameters, and selects a candidate image from the low-power image; converts the candidate image to the Lab color space, and calculates the color difference between the input image and the candidate image in the Lab color space; determines the target display image to be displayed from the candidate image according to the color difference, and displays the target display image on the OLED display panel. This embodiment selects a candidate image from the low-power image, and then displays the image to be displayed on the OLED display panel according to the color difference between the input image and the candidate image. Compared with the prior art that reduces the power consumption of the OLED display by reducing the power consumption of the RGB pixels of the image, there is a problem of poor image quality after reducing the power consumption. This embodiment can reduce the power consumption while ensuring the quality of the displayed image, effectively improving the user's viewing experience.

[0146] Based on the above-mentioned first embodiment of the image display device of the present invention, a second embodiment of the image display device of the present invention is proposed.

[0147] In this embodiment, the power consumption parameters include brightness and saturation, the preset power consumption parameters are preset brightness thresholds, and the image selection module 502 is further used to convert the input image into an HSV color space to obtain initial HSV data; in the HSV color space, according to the initial HSV data, obtain a first image in which the brightness of the input image varies within a range lower than the preset brightness threshold, and use the first image as a low power consumption image; select a second image whose saturation is greater than the preset saturation threshold from the low power consumption image, and use the second image as a candidate image.

[0148] As an embodiment, the image selection module 502 is also used to convert the input image into the Lab color space to obtain initial Lab data; the color difference calculation module 503 is also used to convert the candidate image into the Lab color space to obtain candidate Lab data; calculate the deviation between the initial Lab data and each candidate Lab data in the Lab color space, and use the deviation as the color difference between the input image and the candidate image.

[0149] As an embodiment, the image display module 504 is also used to determine whether there is target Lab data with a deviation equal to the target deviation among the candidate Lab data; if the target Lab data exists, a target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed.

[0150] As an embodiment, the image display module 504 is also used to calculate the degree of proximity between each deviation and the target deviation if the target Lab data does not exist, and select the target Lab data whose degree of proximity reaches a preset degree from the candidate Lab data; select the target candidate image corresponding to the target Lab data from the candidate images, and use the target candidate image as the target display image to be displayed.

[0151] Based on the above-mentioned various embodiments of the image display device of the present invention, a third embodiment of the image display device of the present invention is proposed.

[0152] In this embodiment, the image display module 504 is further used to convert the target display image into RGB color space to obtain sub-pixel grayscale information of the target display image; and display the target display image on the OLED display panel according to the sub-pixel grayscale information.

[0153] As an embodiment, the image display module 504 is also used to obtain the target current parameter information corresponding to the sub-pixel grayscale information from a preset mapping table, and the preset table records the correspondence between each sub-pixel grayscale information and the current parameter information; generate a driving signal according to the target current parameter information, and input the driving signal to the OLED display panel so that the OLED display panel displays the target display image.

[0154] The specific implementation of the image display device of the present invention can refer to the above-mentioned method embodiments, which will not be described in detail here.

[0155] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0156] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0157] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0158] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An image display method, characterized in that: The method comprises: Acquire an input image to be displayed on the OLED display panel, and determine power consumption parameters of the input image; Determine a low power consumption image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and select a candidate image from the low power consumption images; Convert the candidate image into a Lab color space, and calculate the color difference between the input image and the candidate image in the Lab color space; Determining a target display image to be displayed from the candidate images according to the color difference, and displaying the target display image on the OLED display panel; The step of converting the candidate image into a Lab color space and calculating the color difference between the input image and the candidate image in the Lab color space comprises: Convert the input image into Lab color space to obtain initial Lab data; Convert the candidate image into the Lab color space to obtain candidate Lab data; The deviation between the initial Lab data and each candidate Lab data is calculated based on a preset deviation formula in the Lab color space, and the deviation is used as the color difference between the input image and the candidate image, wherein the preset deviation formula is: Where ΔE ab is the deviation between the initial Lab data and the candidate Lab data, ΔL is the difference between the L component in the initial Lab data and the L component in the candidate Lab data, Δa is the difference between the a component in the initial Lab data and the a component in the candidate Lab data, and Δb is the difference between the b component in the initial Lab data and the b component in the candidate Lab data; The step of determining the target display image to be displayed from the candidate images according to the color difference comprises: Determine whether there is target Lab data with a deviation equal to the target deviation among the candidate Lab data; If the target Lab data exists, a target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed; If the target Lab data does not exist, the degree of proximity between each of the deviations and the target deviation is calculated, and the target Lab data whose degree of proximity reaches a preset degree is selected from the candidate Lab data; A target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as a target display image to be displayed.

2. The image display method according to claim 1, wherein: The power consumption parameter includes brightness and saturation, the preset power consumption parameter is a preset brightness threshold, and the step of determining a low power consumption image of the input image when the power consumption parameter is lower than the preset power consumption parameter, and selecting a candidate image from the low power consumption image includes: Convert the input image into the HSV color space to obtain initial HSV data; Acquire, in the HSV color space, according to the initial HSV data, a first image in which the brightness of the input image changes within a range lower than the preset brightness threshold, and use the first image as a low-power image; A second image whose saturation is greater than a preset saturation threshold is selected from the low-power consumption image, and the second image is used as a candidate image.

3. The image display method according to claim 1 or 2, characterized in that: The step of displaying the target display image on the OLED display panel comprises: Convert the target display image into RGB color space to obtain sub-pixel grayscale information of the target display image; The target display image is displayed on the OLED display panel according to the sub-pixel grayscale information.

4. The image display method according to claim 3, wherein: The step of displaying the target display image on the OLED display panel according to the sub-pixel grayscale information comprises: Acquire target current parameter information corresponding to the sub-pixel grayscale information from a preset mapping table, wherein the preset table records the correspondence between each sub-pixel grayscale information and current parameter information; A driving signal is generated according to the target current parameter information, and the driving signal is input to the OLED display panel, so that the OLED display panel displays the target display image.

5. An image display device, characterized in that: The device comprises: An image acquisition module, used to acquire an input image to be displayed on the OLED display panel and determine power consumption parameters of the input image; An image selection module, used for determining a low-power image of the input image when the power consumption parameter is lower than a preset power consumption parameter, and selecting a candidate image from the low-power image; A color difference calculation module, used for converting the candidate image into a Lab color space and calculating the color difference between the input image and the candidate image in the Lab color space; An image display module, used for determining a target display image to be displayed from the candidate images according to the color difference, and displaying the target display image on the OLED display panel; The color difference calculation module is also used for: Convert the input image into Lab color space to obtain initial Lab data; Convert the candidate image into the Lab color space to obtain candidate Lab data; The deviation between the initial Lab data and each candidate Lab data is calculated based on a preset deviation formula in the Lab color space, and the deviation is used as the color difference between the input image and the candidate image, wherein the preset deviation formula is: The preset deviation formula is: Where ΔE ab is the deviation between the initial Lab data and the candidate Lab data, ΔL is the difference between the L component in the initial Lab data and the L component in the candidate Lab data, Δa is the difference between the a component in the initial Lab data and the a component in the candidate Lab data, and Δb is the difference between the b component in the initial Lab data and the b component in the candidate Lab data; The image display module is also used for: Determine whether there is target Lab data with a deviation equal to the target deviation among the candidate Lab data; If the target Lab data exists, a target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as the target display image to be displayed; If the target Lab data does not exist, the degree of proximity between each of the deviations and the target deviation is calculated, and the target Lab data whose degree of proximity reaches a preset degree is selected from the candidate Lab data; A target candidate image corresponding to the target Lab data is selected from the candidate images, and the target candidate image is used as a target display image to be displayed.

6. An image display device, characterized in that: The device comprises: a memory, a processor, and an image display program stored in the memory and executable on the processor, wherein the image display program is configured to implement the steps of the image display method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores an image display program, and when the image display program is executed by the processor, the steps of the image display method according to any one of claims 1 to 4 are implemented.

Images