Optimization method and device for halo of display device, computer device and storage medium

Abstract

The application provides a halo optimization method and device of a display device, computer equipment and a storage medium. The method comprises: acquiring a first luminance value of the display device under a full black picture, and acquiring second luminance values of the display device at different proportion white field pictures, respectively; and performing halo optimization on partitions of the display device under different proportion white field pictures according to the first luminance value, the second luminance values and a preset optimization model. According to the first luminance value of the display device under the full black picture and the second luminance values of the display device under different proportion white field pictures, the partitions of the display device under different proportion white field pictures are optimized by the preset optimization model, so that the optimization precision is high, and the display quality of the display device can be effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of display devices, in particular to a halo optimization method and device of a display device, a computer device and a storage medium. BACKGROUND

[0002] In the field of display devices, LocalDimming technology is an important means to improve the dynamic range of the picture, which is widely used in products such as televisions and monitors. The working mechanism is to divide the screen backlight into multiple independently controlled regions, and dynamically adjust the brightness of the corresponding backlight region according to the brightness of each region in the current picture. When the picture presents a dark scene, the backlight of the corresponding region will reduce the brightness or even be turned off to present a deeper black. In the bright scene, the backlight of the corresponding region will be enhanced to make the highlight part more transparent, so as to enhance the contrast of the picture and make the bright and dark details clearer.

[0003] However, the products equipped with this technology have obvious defects in actual use: when playing a video, the picture is prone to halo phenomenon, and the halo range is large and the performance is obvious. This phenomenon is particularly prominent in pictures with strong contrast between light and dark, for example, when displaying bright text or graphics on a black background, the bright area edge will spread out a blurred white light shadow to the surrounding dark area, causing the picture edge to be blurred and destroying the original clear boundary.

[0004] With the continuous improvement of consumers' requirements for display effect, picture quality performance has become a core factor affecting product experience. Clear picture edge, pure dark field and accurate light and shadow transition are the basic expectations of users for high-quality display devices. The halo problem existing in the current LocalDimming function directly affects the delicacy and realism of the picture, and becomes a key bottleneck restricting the further improvement of the picture quality of the display device. SUMMARY

[0005] The embodiments of the present application provide a halo optimization method, device, computer device and storage medium of a display device to solve the problem of poor picture quality effect caused by halo problem of the display device.

[0006] In a first aspect, the embodiments of the present application provide a halo optimization method of a display device, which includes: obtaining a first brightness value of the display device under a full black picture, and obtaining a second brightness value of the display device at different proportion white field pictures, respectively, at the edge of the white field picture; and performing halo optimization on the partition of the display device under different proportion white field pictures according to the first brightness value, the second brightness value and a preset optimization model.

[0007] In a second aspect, the embodiments of the present application also provide a halo optimization device of a display device, which includes units for executing the above method.

[0008] In a third aspect, an embodiment of the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described above.

[0009] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program comprises program instructions, and the program instructions, when executed by a processor, can implement the method described above.

[0010] The application provides a halo optimization method and device of a display device, a computer device, and a storage medium. The halo of a display device in different proportion white field pictures is optimized by a preset optimization model according to the first luminance value of the display device under a full black picture and the second luminance value of the display device in different proportion white field pictures, and the optimization precision is high, and the display quality of the display device can be effectively improved. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 A schematic flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0013] Figure 2 A sub-flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0014] Figure 3 A sub-flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0015] Figure 4 A sub-flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0016] Figure 5 A sub-flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0017] Figure 6 A sub-flowchart of the halo optimization method of the display device provided by the embodiment of the present application is shown in the figure.

[0018] Figure 7 A schematic block diagram of the halo optimization device of the display device provided by the embodiment of the present application is shown in the figure.

[0019] Figure 8 A schematic block diagram of a computer device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0021] It should be understood that, when used in the specification and the appended claims, the terms "comprise" and "include" indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0022] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should be further understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0024] Referring to Figure 1 A schematic flowchart of a halo optimization method of a display device provided by an embodiment of the present application is shown. In the present application, the halo optimization method of the display device is applied in the production field of the display device, and is suitable for a debugging scenario of the display device in which the display quality effect of the display device is poor due to the reasons such as obvious halo and large range when the display device uses a partition dimming technology. The halo optimization method of the display device can optimize the partition halo of the display device for different proportions of white field pictures according to a preset optimization model by analyzing the first luminance value of the display device under a full black picture and the second luminance value of the display device under different proportions of white field pictures, and has high optimization precision and can effectively improve the display quality effect of the display device.

[0025] The application provides a halo optimization method and device of a display device, computer equipment and a storage medium, the halo optimization method of the display device comprises: acquiring a first luminance value of the display device under a full black picture, and respectively acquiring second luminance values of the display device at different proportion white field pictures at edges of the white field pictures; and performing halo optimization on partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and a preset optimization model.

[0026] According to the first luminance value of the display device under the full black picture and the second luminance values of the display device under the different proportion white field pictures, the halo of the partitions of the display device under the different proportion white field pictures is optimized by the preset optimization model, the optimization precision is high, and the picture quality effect of the display device can be effectively improved.

[0027] Figure 1 It is a flowchart of the halo optimization method of the display device provided by the embodiment of the application. As shown in the figure, the method comprises the following steps S10-S20. Figure 1

[0028] S10, acquiring a first luminance value of the display device under a full black picture, and respectively acquiring second luminance values of the display device at different proportion white field pictures at edges of the white field pictures;

[0029] Specifically, the display device refers to an electronic device with image display function, such as a liquid crystal television, an OLED display, a Mini LED screen and the like, and the core function thereof is to convert an electrical signal into a visual image. The partition dimming technology is an important means to improve the dynamic range of the picture, mainly divides the screen backlight into multiple independently controlled areas, dynamically adjusts the luminance of the corresponding backlight area according to the brightness of each area in the current picture; and the halo is a white phenomenon that the bright area edge of the display device diffuses to the dark area when displaying a picture with strong light and dark contrast, which reduces the contrast and clarity of the picture, thereby affecting the picture quality.

[0030] In the embodiment, a halo optimization method of a display device is mainly provided, first, whether the halo range and the obvious degree of the display device under the current state meet the standard needs to be detected, and then the halo that does not meet the standard is optimized.

[0031] ​Firstly, the system needs to obtain a first luminance value of the display device under a full black picture. The full black picture refers to a picture in which all pixels output by the display device are black, which is used to detect the basic light emission of the device in an ideal dark state. The specific detection steps are as follows: under the premise of turning off the partition algorithm, the display device plays a full black picture, and then a luminance measuring instrument is used to test the luminance value of any point of the display device, so as to obtain the first luminance value, which is the luminance measurement value of the display device under the full black picture. The first luminance value reflects the basic light leakage level of the device, and the lower the value, the higher the purity of the dark field of the device. Under normal circumstances, the first luminance value is 0.

[0032] Then, a second luminance value of the display device at the edge of the white field picture under different proportions of the white field picture is obtained respectively. The white field picture refers to a picture in which all pixels output by the display device are white; and different proportions of the white field picture refer to pictures in which the proportion of the white field area to the total screen area is different (for example, a 10% white field picture means that the white field area accounts for 10% of the screen area, and the remaining area is full black), so as to simulate the display scene of the display device under different luminance ranges.

[0033] The second luminance value refers to the luminance measurement value at the junction edge between the white field area and the surrounding black area in different proportions of the white field picture (usually within 3-5mm range outside the edge), that is, the luminance value outside the white field picture and close to the edge of the white field picture. The measurement position of the second luminance value cannot be too far from the white field or cover the white area, so as to avoid inaccurate test values. The second luminance value can be accurately measured by physical fixed-point measurement, and is used to quantitatively evaluate the diffusion degree of the halo. The specific acquisition steps are as follows: when the display device plays a white field picture of a certain proportion, the second luminance value of four directions is obtained at the center of the edge of the white field picture on the upper side, the lower side, the left side and the right side respectively; since the display device plays different proportions of the white field picture, the second luminance value of four directions under each white field picture needs to be detected respectively, and all the second luminance values are recorded in a table, so as to facilitate subsequent comparison of each second luminance value and the first luminance value, to determine whether the halo under the corresponding white field picture needs to be optimized.

[0034] Through the above method, the halo characteristics of the display device under different display scenes can be accurately quantified, which provides data support for targeted optimization and effectively improves the display quality problem caused by halo.

[0035] In an embodiment, step S10 can include step S11.

[0036] S11, the proportion of the white field picture comprises each of the white field picture of 5% to 70% relative to the screen of the display device.

[0037] Since the white field is the most obvious picture of halo, because white is a pure white picture, which belongs to the highest brightness; the white field basically covers all the partitions in the middle, when the halo of these partitions is well optimized, the halo effect of any picture will be greatly optimized, therefore, in the embodiment, the halo of the display device is optimized by different proportions of white field pictures, instead of only selecting a 20% white field picture for optimization.

[0038] Specifically, the proportion of the white field picture is set to 5% to 70%, that is, the proportion of the white field area of the white field picture to the total area of the screen is 5% to 70%, the halo optimization effect of the white field picture in this range will be better. And the white field picture above 70% is too large in proportion, basically the partitions of the whole screen are brightened up, there is no need to test and optimize, thereby improving the optimization efficiency and saving the cost.

[0039] More specifically, if the number of partitions of the display device is high and the size of the partitions is small, the halo of the display device can be optimized by using a white field picture with a proportion of 5%-90%.

[0040] S20, according to the first luminance value, the second luminance value and a preset optimization model, the partitions of the display device under different proportions of white field pictures are optimized for halo;

[0041] Specifically, the preset optimization model is a pre-constructed algorithm model, which internally stores ideal luminance distribution data under different display scenes, and can calculate the adjustment parameters of the backlight partitions according to the input actual luminance value to realize halo optimization.

[0042] When optimizing the halo of the display device, the first luminance value and the second luminance value are first obtained as basic data. When obtaining the first luminance value, the display device outputs a full black picture, and after the picture is stable, the luminance of any point on the screen is detected using a luminance measuring instrument, and finally the first luminance value reflecting the device under the full black picture is obtained. Then, different white field pictures with a proportion in a certain range of the total area of the screen are selected, the white area of these white field pictures is usually located in the center of the screen, the form is regular and the boundary with the surrounding black area is clear, for each white field picture, the luminance is measured at the junction edge between the white field picture and the black area, thereby obtaining the second luminance value under the corresponding proportion, which can intuitively reflect the diffusion degree of halo under different display scenes.

[0043] After the first luminance value and each second luminance value are obtained, the data is input into a preset optimization model. The optimization model analyzes the first luminance value and the second luminance value, and determines the range and the degree of the halo under different proportion white field pictures by comparing the difference between the first luminance value and each second luminance value. Subsequently, the optimization model calculates corresponding luminance adjustment parameters for each partition according to an embedded algorithm and in combination with the distribution characteristics of the backlight partition of the display device, and the parameters can accurately control the backlight output intensity of each partition. For the area where the halo is diffused seriously, the model calculates parameters for appropriately reducing the backlight luminance to reduce the diffusion of light to the dark area. For the area that needs to maintain the luminance, the model ensures that the luminance is not excessively affected, thereby effectively reducing the range and the degree of the halo while ensuring the normal display effect of the picture, and finally realizing the optimization of the halo of the display device.

[0044] Therefore, in the embodiment, the halo of the display device is optimized by the first luminance value, the second luminance value, and the optimization model, the optimization accuracy and the optimization efficiency are high, the picture quality effect of the display device can be obviously improved, and the user experience is improved.

[0045] In an embodiment, as shown in FIG. 2, step S20 can include steps S21-S22. Figure 2

[0046] S21, respectively determining the size of the first luminance value and each second luminance value;

[0047] S22, if the second luminance value is greater than the first luminance value, the optimization model optimizes the halo of the partition corresponding to the second luminance value.

[0048] Specifically, in the halo optimization process of the display device, the first luminance value and the second luminance value of each proportion white field picture are obtained by a luminance measuring instrument, and the data is the basis for determining whether the halo exists and the optimization range.

[0049] Subsequently, the system enters the luminance value comparison link, that is, the size relationship between the first luminance value and each second luminance value is respectively determined. The core logic of the determination is that the first luminance value represents the background luminance of the display device in the full black picture, if the second luminance value is greater than the first luminance value, it indicates that the light of the white field picture has diffused to the edge dark area to form a halo beyond the basic light leakage, and the partition corresponding to the second luminance value needs to be optimized; if the second luminance value is equal to or less than the first luminance value, it indicates that the area does not produce additional halo and does not need to be optimized and adjusted.

[0050] ​Therefore, when it is determined that a second luminance value is greater than the first luminance value, the preset optimization model starts to perform optimization adjustment on the subregion corresponding to the second luminance value.

[0051] Specifically, the optimization model first locates the backlight subregion covered by the white field picture corresponding to the second luminance value, and calculates a specific luminance adjustment parameter according to the built-in algorithm of the optimization model in combination with the location characteristics (such as whether it is a subregion directly corresponding to the edge of the white field) of the subregion. For the subregion directly leading to the halo, the model generates a parameter for reducing the backlight output thereof to reduce the diffusion amount of light to the dark area. For the adjacent associated subregion, the luminance is fine-tuned to ensure that the picture transition is natural and new luminance discontinuity does not occur after optimization. Or the current of the subregion corresponding to the second luminance value is adjusted and optimized through the algorithm. Through such targeted adjustment, the range of halo can be inhibited, and the normal display effect of the white field picture can be maintained, so that the precise optimization of the subregion halo in different proportion white field scenes is finally realized, and the picture contrast and definition of the display device are improved.

[0052] In an embodiment, as shown in Figure 3 The second luminance value includes an upper luminance value, a lower luminance value, a left luminance value, and a right luminance value, and step S20 further includes steps S23-S25.

[0053] S23, obtaining the average of the upper luminance value, the lower luminance value, the left luminance value, and the right luminance value;

[0054] S24, determining the size of the average and the first luminance value;

[0055] S25, if the average is greater than the first luminance value, the optimization model performs halo optimization on the subregion corresponding to the second luminance value.

[0056] Specifically, the second luminance value refers to the luminance value at the edge of a white field picture (a white region occupies a certain proportion of the screen) of different proportions, and includes an upper luminance value (a luminance value outside the upper edge of the white field picture), a lower luminance value (a luminance value outside the lower edge of the white field picture), a left luminance value (a luminance value outside the left edge of the white field picture), and a right luminance value (a luminance value outside the right edge of the white field picture). The upper luminance value, the lower luminance value, the left luminance value, and the right luminance value are used to reflect the halo situation of each edge under different proportions of white field pictures. The average refers to the average of the upper luminance value, the lower luminance value, the left luminance value, and the right luminance value, and reflects the degree of obviousness of the halo of the white field picture under this proportion.

[0057] After obtaining the upper side luminance value, the lower side luminance value, the left side luminance value and the right side luminance value corresponding to the white field picture at a certain proportion, the average value of the upper side luminance value, the lower side luminance value, the left side luminance value and the right side luminance value needs to be calculated, that is, the average value of the luminance values in the four directions of the upper side, the lower side, the left side and the right side of the corresponding white field picture is calculated. Then, the average value is compared with the first luminance value.

[0058] If the average value is greater than the first luminance value, it means that the light of the white field picture diffuses to the surrounding dark area to a degree exceeding the basic light leakage of the device, and there is a significant light halo phenomenon. At this time, the preset optimization model will start to optimize the halo of the partition corresponding to the second luminance value.

[0059] The optimization model will first determine the backlight partition involved in the white field picture corresponding to the average value, and analyze the influence of each partition on different edge halos. Then, according to the position and light overflow of each partition, the model will generate corresponding adjustment parameters to accurately control the luminance of the related partition, such as reducing the luminance of the partition that causes serious halo diffusion, so as to reduce the diffusion of light to the dark area, thereby effectively optimizing the halo and improving the picture quality of the display device.

[0060] Therefore, in the embodiment, the average values of the four directions at different proportions of the white field picture are obtained to reflect the degree of obvious halo of the white field picture at different proportions, and then the halo of the white field picture at different proportions is accurately optimized according to the optimization model, thereby improving the picture effect of the display device.

[0061] In an embodiment, as shown in FIG. 2, after step S20, steps S31-S32 are further included. Figure 4

[0062] S31, obtaining a third luminance value at the edge of the white field picture around the display device at different proportions of the white field picture after optimization;

[0063] S32, if the third luminance value is greater than the first luminance value, further optimizing the partition of the display device at different proportions of the white field picture according to the third luminance value, the preset luminance value and the optimization model.

[0064] Specifically, the third luminance value is the luminance measurement value at the edge of the white field picture at the same proportion after each halo optimization of the display device, which is used to evaluate the optimization effect. The preset luminance value is a preset acceptable halo luminance threshold, which is a suitable value set by human subjective judgment, and is usually slightly higher than the first luminance value. Whether the third luminance value is qualified can be judged by the preset luminance value.

[0065] ​In the halo optimization process of the display device, first, halo optimization of the partition is completed according to the first luminance value, the second luminance value and the preset optimization model, so as to reduce the halo range and the obvious degree of the edge of the white field picture.

[0066] However, after optimization, the third luminance value corresponding to the luminance value of the edge region of the white field picture of different proportions is obtained by using a luminance measuring instrument, the third luminance value is consistent with the measurement position of the second luminance value, so as to ensure the comparability of the data before and after optimization. After obtaining the third luminance value, the third luminance value is compared with the first luminance value to determine the effect of optimization, and then it is determined whether optimization needs to be performed again.

[0067] If the third luminance value is less than or equal to the first luminance value, it indicates that the halo has been effectively controlled, and the basic optimization target is reached, so that the optimization step does not need to be performed again.

[0068] If the third luminance value is still greater than the first luminance value, it indicates that the halo has not been completely eliminated, and further optimization process needs to be started.

[0069] When entering the further optimization stage, the third luminance value and the preset luminance value are input into the preset optimization model. The preset luminance value is used as a target reference for optimization, and provides an explicit upper limit for luminance control for the model. The optimization model first analyzes the size of the third luminance value and the preset luminance value, and calculates more fine partition adjustment parameters according to the distribution characteristics of the partition corresponding to the white field picture of different proportions. For the region with a large difference between the third luminance value and the preset luminance value, the model increases the backlight suppression intensity of the corresponding partition; for the region close to the preset luminance value, fine adjustment is performed to avoid excessive optimization leading to loss of picture luminance.

[0070] Therefore, in this embodiment, the luminance of the edge of the white field picture is gradually controlled within the preset range through the feedback-based iterative optimization mechanism, and the deep optimization of the halo is finally realized, the optimization precision is high, the picture purity and the contrast of the display device are further improved, and the picture quality effect of the display device is improved.

[0071] In an embodiment, as shown in FIG. 8, step S32 further includes steps S321-S322. Figure 5

[0072] S321, judging the size of the third luminance value and the preset luminance value;

[0073] S322, if the third luminance value is greater than the preset luminance value, the optimization model performs halo optimization on the partition corresponding to the second luminance value.

[0074] ​Specifically, after optimizing the partition halo, it is also necessary to judge the effect of optimization, and then judge whether it is necessary to optimize again. Therefore, after obtaining the third luminance value, first judge the size of the third luminance value and the first luminance value. If the third luminance value is still greater than the first luminance value, it means that the previous optimization has not completely eliminated the halo beyond the basic light leakage, and it needs to enter the further optimization stage.

[0075] The core of further optimization is to judge the size relationship between the third luminance value and the preset luminance value. The preset luminance value is used as a critical value to measure whether the halo is acceptable. Its setting comprehensively considers the balance between display effect and device performance - it ensures the purity of dark area of the picture, and avoids excessive optimization leading to loss of brightness in bright area. If the third luminance value is less than or equal to the preset luminance value, it means that the halo has been controlled within an acceptable range and there is no need to continue adjusting; if the third luminance value is greater than the preset luminance value, it means that the halo is still obvious and needs to be optimized again by the preset optimization model.

[0076] Since the measurement position of the third luminance value and the measurement position of the second luminance value are the same position, at this time, the optimization model will call the partition information corresponding to the second luminance value recorded in the last optimization, analyze the luminance control residual of these partitions after the last optimization, and generate more detailed partition adjustment parameters combined with the difference between the third luminance value and the preset luminance value.

[0077] Therefore, in this embodiment, by enhancing the backlight suppression strength of the key partitions, further reducing the halo diffusion of the white field picture edge, the third luminance value gradually approaches the preset luminance value, and finally the expected halo optimization effect is realized, and the picture contrast and visual experience of the display device are improved.

[0078] In an embodiment, as shown in Figure 6 The step S20 further includes steps S26-S27.

[0079] S26, the optimization model reduces the luminance and current of the partition corresponding to the second luminance value;

[0080] S27, and / or, the optimization model reduces the aperture diffusion range of the partition corresponding to the second luminance value.

[0081] Specifically, in the halo optimization process of the display device, when it is determined that the display device has a large halo range and obvious halo under different proportions of white field pictures, optimization operation needs to be performed on the partitions corresponding to the second luminance value according to the preset optimization model. These partitions are usually the backlight units directly corresponding to the edge of the white field picture, and the light overflow of these partitions is the main reason for halo, so these partitions are the partitions to be optimized.

[0082] The first optimization mode of the optimization model is to reduce the brightness and current of the partition to be optimized: the model calculates a reasonable brightness reduction amplitude according to the second brightness value and the first brightness value, and simultaneously adjusts the current size driving the partition. Since the current is positively correlated with the brightness, reducing the current can directly reduce the luminous intensity of the backlight unit, thereby reducing the amount of light diffused to the surrounding dark area, and weakening the halo intensity at the edge of the white field.

[0083] Another optimization mode is to reduce the aperture diffusion range of the partition corresponding to the second brightness value: the model adjusts the optical structure control parameters (such as micro-lens angle, light-blocking component position, etc.) of the partition to make the light more concentrated in the target display area and reduce the scattering to the edge dark area. This mode does not directly reduce the brightness of the partition, but constrains the light propagation path to reduce the diffusion area of the halo while ensuring the brightness of the white field picture, so that the bright-dark junction is clearer.

[0084] The two optimization modes can be used alone or in combination, depending on the cause of the halo - if the halo is mainly caused by excessively high brightness, the brightness and current are preferentially reduced; if the halo is caused by excessively large light scattering angle, the aperture diffusion range is preferentially reduced.

[0085] Therefore, in the embodiment, the optimization model is used to perform targeted partition halo adjustment on the halo of the white field picture of different proportions, which can effectively suppress the halo and maintain the normal brightness and detail performance of the display picture, and finally improves the picture contrast and visual experience of the display device.

[0086] According to the first brightness value of the display device under the full black picture and the second brightness value of the white field picture of different proportions, the partition halo of the display device of the white field picture of different proportions is optimized by the preset optimization model, which has high optimization accuracy and can effectively improve the picture quality effect of the display device.

[0087] Figure 7 is a schematic block diagram of a halo optimization device 300 of a display device provided by an embodiment of the application. As shown in Figure 7 According to the halo optimization method of the display device, the application further provides a halo optimization device 300 of a display device. The halo optimization device 300 of the display device includes units for executing the halo optimization method of the display device, and the device can be configured in a computer device. Specifically, please refer to Figure 7 The halo optimization device 300 of the display device includes an acquisition unit 301 and an optimization unit 302.

[0088] The acquisition unit 301 acquires a first luminance value of the display device under a full black picture, and respectively acquires second luminance values of the display device at different proportion white field pictures, the white field picture surrounding edges; acquires a mean value of the upper side luminance value, the lower side luminance value, the left side luminance value and the right side luminance value; acquires third luminance values of the display device at different proportion white field pictures after optimization, the white field picture surrounding edges; the proportion of the white field picture includes each of the white field picture of 5% to 70% relative to the screen of the display device.

[0089] The optimization unit 302 performs halo optimization on the partition of the display device under different proportion white field pictures according to the first luminance value, the second luminance value and a preset optimization model; if the second luminance value is greater than the first luminance value, the optimization model performs halo optimization on the partition corresponding to the second luminance value; if the mean value is greater than the first luminance value, the optimization model performs halo optimization on the partition corresponding to the second luminance value; if the third luminance value is greater than the first luminance value, further halo optimization is performed on the partition of the display device under different proportion white field pictures according to the third luminance value, a preset luminance value and the optimization model; if the third luminance value is greater than the preset luminance value, the optimization model performs halo optimization on the partition corresponding to the second luminance value; the optimization model reduces the luminance and current of the partition corresponding to the second luminance value; and / or, the optimization model reduces the aperture diffusion range of the partition corresponding to the second luminance value.

[0090] In an embodiment, the optimization unit 302 further includes a judgment unit.

[0091] The judgment unit respectively judges the size of the first luminance value and each of the second luminance values; judges the size of the mean value and the first luminance value; judges the size of the third luminance value and the preset luminance value.

[0092] It should be noted that the specific implementation process of the halo optimization device of the display device and each unit can be clearly understood by those skilled in the art, which can be referred to the corresponding description in the foregoing method embodiments, and here is not described in detail for the convenience and brevity of description.

[0093] The halo optimization device 300 of the display device described above can be realized in the form of a computer program, which can run on a computer device as shown in the figure. Figure 8

[0094] Please refer to Figure 8 , Figure 8 ​is a schematic block diagram of a computer device provided by an embodiment of the present application. The computer device 500 can be a terminal or a server, wherein the terminal can be a smartphone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device, and the like electronic device having a communication function. The server can be a standalone server or a server cluster composed of multiple servers.

[0095] Referring to Figure 8 The computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501, wherein the memory can include a non-volatile storage medium 503 and an internal memory 504.

[0096] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions which, when executed, can cause the processor 502 to perform a halo optimization method of a display device.

[0097] The processor 502 is configured to provide computing and control capabilities to support the operation of the entire computer device 500.

[0098] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, which, when executed by the processor 502, can cause the processor 502 to perform a halo optimization method of a display device.

[0099] The network interface 505 is configured to perform network communication with other devices. Those skilled in the art can understand that Figure 8 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device 500 to which the scheme of the present application is applied. The specific computer device 500 can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0100] The processor 502 is configured to run the computer program 5032 stored in the memory to implement the steps of the halo optimization method of the display device described above.

[0101] It should be understood that, in the embodiments of the present application, the processor 502 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0102] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the above-mentioned embodiments.

[0103] Therefore, the present application also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions are executed by a processor to make the processor execute the steps of the above-mentioned halo optimization method of the display device.

[0104] The storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk, and various computer-readable storage media that can store program codes.

[0105] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in the above description in general terms. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0106] In several embodiments provided by the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the embodiments of the apparatus described above are merely schematic. For example, the division of the units is merely a logical function division. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In a possible implementation process, the steps of the method disclosed by the present application can be implemented by using a program. The program can be stored in a computer readable storage medium, for example, a computer disk, a compact disc, a compact disc, a Blu-ray disc, a magnetic disk, a floppy disk, a hard disk, a magnetic tape, an optical disc, a read-only memory (ROM), a flash memory, a portable memory card, a computer network, or the like.

[0107] The steps in the method embodiments of the present application can be adjusted, combined and deleted in sequence according to actual needs. The units in the device embodiments of the present application can be combined, divided and deleted according to actual needs. In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit.

[0108] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art that makes a contribution, or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.

[0109] The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for optimizing the halo effect of a display device, characterized in that, The method comprises: acquiring a first luminance value of a display device under a full black picture, and acquiring second luminance values of the display device under different proportion white field pictures respectively at edges of the white field pictures; performing halo optimization on partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and a preset optimization model; wherein the second luminance values comprise an upper luminance value, a lower luminance value, a left luminance value and a right luminance value; the step of performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and the preset optimization model comprises: acquiring mean values of the upper luminance value, the lower luminance value, the left luminance value and the right luminance value; judging magnitudes of the mean values and the first luminance value; if the mean values are greater than the first luminance value, the optimization model performs halo optimization on partitions corresponding to the second luminance values. wherein the step of performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and the preset optimization model further comprises: the optimization model reduces luminance and current of the partitions corresponding to the second luminance values; and the optimization model reduces aperture diffusion ranges of the partitions corresponding to the second luminance values. If halo is mainly caused by excessively high luminance, luminance and current are preferentially reduced; if halo is caused by excessively large light scattering angle, aperture diffusion ranges are preferentially reduced.

2. The method of claim 1, wherein, The step of performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and the preset optimization model comprises: judging magnitudes of the first luminance value and each of the second luminance values respectively; if the second luminance values are greater than the first luminance value, the optimization model performs halo optimization on the partitions corresponding to the second luminance values.

3. The method of claim 1, wherein, After the step of performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the first luminance value, the second luminance values and the preset optimization model, the method comprises: acquiring third luminance values of the display device under the different proportion white field pictures at edges of the white field pictures after optimization; if the third luminance values are greater than the first luminance value, further performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the third luminance values, a preset luminance value and the optimization model.

4. The method of claim 3, wherein, The step of further performing halo optimization on the partitions of the display device under the different proportion white field pictures according to the third luminance values, the preset luminance value and the optimization model if the third luminance values are greater than the first luminance value comprises: judging magnitudes of the third luminance values and the preset luminance value; if the third luminance values are greater than the preset luminance value, the optimization model performs halo optimization on the partitions corresponding to the second luminance values.

5. The method of claim 1, wherein, The step of acquiring the second luminance values of the display device under the different proportion white field pictures at edges of the white field pictures comprises: proportions of the white field pictures comprise 5% to 70% of each of the white field pictures relative to a screen of the display device. 6.A halo optimization apparatus of a display device, characterized by, The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method according to any one of claims 1-5.

7. A computer device, comprising: The storage medium stores a computer program, wherein the computer program comprises program instructions, and the program instructions, when executed by a processor, can implement the method according to any one of claims 1-5.

8. A storage medium, characterized by ​

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