Display parameter adjusting method, display panel and display device

Abstract

The invention discloses a display parameter adjusting method, a display panel and a display device. The method comprises the following steps: acquiring a current frame of a display panel, and performing key region detection on the current frame to obtain at least one region of interest; determining the probability that each region of interest belongs to different display types; the display types comprise texts, images and videos; acquiring a display influence factor of the display panel, and determining an adjustment multiple of the display parameter of each region of interest under the influence of the display influence factor of the display panel according to the display influence factor and the display parameter adjustment information; and for each display parameter of each region of interest, determining a target value of the display parameter according to the probability that the region of interest belongs to each display type, a reference value of the display parameter corresponding to each display type and an adjustment multiple of the display parameter, and adjusting the display parameter of the region of interest to the target value. By adopting the method, the display parameter adjustment accuracy can be improved, and meanwhile, the power consumption of the display panel is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of display, in particular to a display parameter adjustment method, a display panel and a display device. BACKGROUND

[0002] With the increasing demand for intelligent display panels, display panels that can intelligently adjust screen parameters have appeared. Currently, the adjustment of screen parameters of display panels often refers to environmental information (such as light intensity) of the display panel or running modes (such as reading mode, movie mode, etc.) of the display panel, and relies on pre-set screen parameters for adjustment.

[0003] However, the pre-configured screen parameters do not match the actual use requirements of the user, and the adjustment based on the pre-configured screen parameters has the problem of low adjustment accuracy. SUMMARY

[0004] In view of the above-mentioned defects or deficiencies in the prior art, it is desirable to provide a display parameter adjustment method, a display panel and a display device, which can improve the accuracy of display parameter adjustment and reduce the power consumption of the display panel.

[0005] In a first aspect, the present application provides a display parameter adjustment method applied to a display panel. The method comprises: obtaining a current frame of the display panel, performing key region detection on the current frame to obtain at least one region of interest; determining the probability of each region of interest belonging to different display types; the display types include text, image and video; collecting display influencing factors of the display panel, and determining the adjustment multiple of the display parameters of each region of interest under the influence of the display influencing factors of the display panel according to the display influencing factors and the display parameter adjustment information; the display parameter adjustment information includes the corresponding relationship between a plurality of display parameters, a plurality of display influencing factors and the adjustment multiple; for each display parameter of each region of interest, determining a target value of the display parameter according to the probability of each display type to which the region of interest belongs, the reference value of the display parameter corresponding to each display type, and the adjustment multiple of the display parameter, and adjusting the display parameter of the region of interest to the target value.

[0006] In combination with the first aspect, in a possible implementation manner, the display parameter adjustment method further comprises: determining the priority of each region of interest; the priority is related to the user interaction degree, function and position of the region of interest; and adjusting the target value of the display parameter according to the preset different adjustment manners corresponding to each display parameter; the different adjustment manners include the relationship between the priority and the adjustment amount of the display parameter.

[0007] In a possible implementation manner of the first aspect, the target value of the display parameter is determined according to the probabilities of the display types to which the region of interest belongs, the reference values of the display parameter corresponding to different display types, and the adjustment multiple of the display parameter, including: weighting the reference values of the display parameter corresponding to different display types by using the probabilities of the display types to which the region of interest belongs as weights, and performing weighted summation to obtain a candidate value of the display parameter; and determining the target value of the display parameter according to the candidate value of the display parameter and the adjustment multiple of the display parameter.

[0008] In a possible implementation manner of the first aspect, the target value of the display parameter is determined according to the probabilities of the display types to which the region of interest belongs, the reference values of the display parameter corresponding to different display types, and the adjustment multiple of the display parameter, including: weighting the reference values of the display parameter corresponding to different display types by using the probabilities of the display types to which the region of interest belongs as weights, and performing weighted summation to obtain a candidate value of the display parameter; and determining the target value of the display parameter according to the candidate value of the display parameter and the adjustment multiple of the display parameter.

[0009] In a possible implementation manner of the first aspect, the display influence factor includes a hardware parameter and an environmental parameter, the hardware parameter includes a remaining power and a temperature of the display panel, and the environmental parameter includes an illumination intensity, and the target value of the display parameter is determined according to the candidate value of the display parameter and the adjustment multiple of the display parameter, including: calculating a product of the candidate value, a first adjustment multiple of the display parameter under the influence of the remaining power, a second adjustment multiple of the display parameter under the influence of the temperature, and a third adjustment multiple of the display parameter under the influence of the illumination intensity, to obtain the target value of the display parameter.

[0010] In a possible implementation manner of the first aspect, before the target value of the display parameter is determined, the display parameter adjustment method further includes: obtaining a current running mode of the display panel, and performing matching in a preset display rule library based on the current running mode; if there is a running mode in the preset display rule library that matches the current running mode of the display panel, the display parameter of the current frame of the display panel is adjusted according to a display parameter value corresponding to the matched running mode in the preset rule library; and the preset rule library includes a corresponding relationship between different running modes and different display parameter values.

[0011] With reference to the first aspect, in a possible implementation manner, the display parameter adjustment method further includes: performing at least one of absolute range checking and change rate limit range checking on the target value of the display parameter, and adjusting the target value based on a checking result; the absolute range represents a range of the display parameter supported by hardware parameters and software logic of the display panel, and the change amount limit range is a limit range of change rates of the display parameter in adjacent two frames.

[0012] With reference to the first aspect, in a possible implementation manner, determining the probability that each region of interest belongs to a different display type includes: determining, for each region of interest, at least one text feature and a feature value of each text feature, at least one image feature value and a feature value of each image feature, and at least one video feature and a feature value of each video feature; performing weighted summation on the feature values of each text feature based on weights of each text feature to obtain a first probability that the region of interest is of a text type; performing weighted summation on the feature values of each image feature based on weights of each image feature to obtain a second probability that the region of interest is of an image type; and performing weighted summation on the feature values of each video feature based on weights of each video feature to obtain a third probability that the region of interest is of a video type.

[0013] The second aspect, the present application also provides a display panel. The display panel includes a display driving controller and a display screen, the display driving controller realizes the display parameter adjustment method of the first aspect and any one of the first aspect when running, to adjust the display parameter of the display screen.

[0014] The third aspect, the present application also provides a display device. The display device includes the display panel of the second aspect.

[0015] The embodiment of the present application provides a display parameter adjustment method, a display panel and a display device, the current frame of the display panel can be acquired, key region detection is performed on the current frame, at least one region of interest is obtained, and the probability of each region of interest belonging to different display types is determined. Then, the display influence factor of the display panel is collected, and the adjustment multiple of the display parameter of each region of interest under the influence of the display influence factor of the display panel is determined according to the display influence factor and the display parameter adjustment information. Finally, for each display parameter of each region of interest, the target value of the display parameter is determined according to the probability of each display type to which the region of interest belongs, the reference value of the display parameter corresponding to each display type and the adjustment multiple of the display parameter, and the display parameter of the region of interest is adjusted to the target value. That is, when the display parameter of the current frame of the display panel is adjusted, the different display contents of different regions of interest are considered, the regions of interest can be adjusted specifically, and the accuracy of the display parameter adjustment of the display panel can be effectively improved. Meanwhile, the display parameter adjustment is only performed on the regions of interest in the current frame, and the power consumption of the display panel can be effectively reduced. Moreover, the embodiment of the present application also considers the influence of internal or external factors of the display panel on the display parameter, further adjusts the display parameter based on the display content and the display influence factor, and further improves the accuracy of the display parameter adjustment of the display panel. BRIEF DESCRIPTION OF DRAWINGS

[0016] Other features, objects, and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments thereof as taken in conjunction with the accompanying drawings: Figure 1 FIG. 1 is a structural schematic diagram of a display panel in one embodiment; Figure 2 FIG. 2 is a flowchart of a display parameter adjustment method in one embodiment; Figure 3 FIG. 3 is another flowchart of a display parameter adjustment method in one embodiment; Figure 4 FIG. 4 is another flowchart of a display parameter adjustment method in one embodiment. DETAILED DESCRIPTION

[0017] The present application will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the related application, and not to limit the application. In addition, it should be noted that, for the convenience of description, only the parts related to the application are shown in the drawings.

[0018] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments. In addition, the term "and / or" in this paper is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the existence of A alone, the existence of A and B together, and the existence of B alone. The terms "first" and "second" in the specification and claims of the embodiments of the present application are used to distinguish different objects, not to describe a specific order of the objects.

[0019] With the increasing demand for the intelligence of display panels, display panels that can intelligently adjust screen parameters have appeared. Currently, the adjustment of screen parameters of display panels often refers to the environmental information (such as light intensity) of the display panel or the running mode (such as reading mode, movie mode, etc.) of the display panel, and adjusts depending on the pre-corresponding set screen parameters. However, the pre-configured screen parameters do not match the actual use needs of the user, and the adjustment method based on the pre-configured screen parameters has the problem of low adjustment accuracy.

[0020] Based on this, the embodiments of the present application provide a display parameter adjustment method, a display panel and a display device, which can improve the display parameter adjustment accuracy and reduce the power consumption of the display panel.

[0021] The display parameter adjustment method provided by the embodiments of the present application can be applied to a display panel as shown in Figure 1 The display panel includes a display driving controller 10 and a display screen 20. The display driving controller 10 is used to control the display content of the display screen 20, and is also used to adjust the display parameters of the display screen 20 based on the display frame content of the display screen 20.

[0022] In one embodiment, as shown in Figure 2 , a display parameter adjustment method is provided. Taking the display driving controller 10 in Figure 1 as an example, the method includes the following steps: Step 101, obtaining a current frame of a display panel, detecting a key area of the current frame, and obtaining at least one region of interest.

[0023] In the embodiments of the present application, the display driving controller 10 can acquire the current frame of the display screen 20 in real time through an operating system level graphical interface (for example, Android Surface Flinger). Then, a region of interest (ROI) detection algorithm is used to detect a key region containing key information in the current frame, and at least one region of interest is obtained. Thus, when the display parameter adjustment is performed, the regions of interest can be adjusted specifically, and the accuracy of the display parameter adjustment of the display panel can be effectively improved. Meanwhile, the display parameter adjustment is performed only on the regions of interest in the current frame, and the power consumption of the display panel can be effectively reduced.

[0024] In a possible implementation, the key region detection process can be as follows: first, the current frame is processed based on an edge detection algorithm (for example, Canny), and an initial region profile containing information is generated; then, a morphological closing operation (for example, a 3*3 elliptical kernel is used to perform the operation of expansion first and then corrosion) is used to close the edges of the initial region profile; then, each region after the edge closing is screened, for example, regions with a pixel number less than 100 are deleted to exclude small-area interference regions. Finally, the remaining regions are the regions of interest.

[0025] In a possible implementation, before the key region detection is performed on the current frame, the current frame can be preprocessed to reduce the data amount of the current frame and improve the quality of the current frame while retaining sufficient information of the current frame. The preprocessing can include resolution adjustment of the current frame, for example, reducing the current frame from 4K to 1080p by sampling; the preprocessing can also include conversion of the current frame into YUV420 format to reduce the data amount of the current frame; and the preprocessing can also include noise reduction processing of the current frame, for example, using an adaptive bilateral filtering algorithm with parameters of σ=1.5 and a window of 3*3 to eliminate high-frequency noise in the current frame.

[0026] In step 102, probabilities of different display types to which the regions of interest belong are determined.

[0027] The display types include text, image and video.

[0028] In the embodiments of the present application, it is considered that the display parameter adjustment scheme is different when the region of interest belongs to different display types. For example, when the region of interest is of the text type, the display parameter adjustment should be performed according to the principle of moderate brightness, low color temperature, and high contrast; when the region of interest is of the image type, the display parameter adjustment should be performed according to the principle of high brightness, neutral color temperature, and moderate contrast; and when the region of interest is of the video type, the display parameter adjustment should be performed according to the principle of high brightness, high color temperature, and high contrast. Further, it is considered that at least two of the text, image, and video can be contained in one region of interest, that is, the region of interest is not only of the text type, image type, or video type. Therefore, the probability that the region of interest belongs to different display types can be determined, and the display parameter adjustment is performed based on the probability.

[0029] For each region of interest, the features of different display types in the region of interest can be extracted, such as the text features, image features, and video features of the region of interest. Then, the probability that the region of interest belongs to each display type is determined according to the number and importance of the features of each display type in the region of interest. That is, the probability that the region of interest belongs to the text type, the probability that the region of interest belongs to the image type, and the probability that the region of interest belongs to the video type are determined according to the number and importance of the text features, image features, and video features of the region of interest.

[0030] In a possible implementation, for each region of interest, at least one text feature and the feature value of each text feature, at least one image feature and the feature value of each image feature, and at least one video feature and the feature value of each video feature of the region of interest are determined; the feature values of the text features are weighted and summed based on the weights of the text features to obtain a first probability that the region of interest is of the text type; the feature values of the image features are weighted and summed based on the weights of the image features to obtain a second probability that the region of interest is of the image type; and the feature values of the video features are weighted and summed based on the weights of the video features to obtain a third probability that the region of interest is of the video type.

[0031] In this implementation, the text features can include at least one of the text density, text regularity, and Optical Character Recognition (OCR) confidence.

[0032] The display driving controller 10 can first perform sharpness quantization on the region of interest. Specifically, the gradient amplitude of the region of interest can be calculated using a Sobel operator, and the proportion of high-gradient regions in the region of interest can be counted, for example, the proportion of pixel regions with a gradient amplitude greater than a preset gradient threshold (which can be 150). Since the gradient amplitude greater than the preset gradient threshold indicates that the pixel brightness value changes sharply, it can be the edge of the text, and therefore, when the proportion of high-gradient regions is large, it indicates that there is text in the region of interest.

[0033] In the case where it is determined that there is text in the region of interest, the text in the region of interest can be further analyzed for line spacing to determine the text regularity of the text. Specifically, the current frame (or the region of interest therein) can be first converted into a binary image, and horizontal projection (outputting the number of black and white pixels in each row of pixels as a one-dimensional vector) can be performed on the binary image. Then, periodic blank interval detection (i.e., calculating the standard deviation of the number of white pixels between adjacent rows) can be performed based on the horizontal projection result to obtain a blank interval standard deviation, and the text regularity of the text can be determined based on the blank interval standard deviation. The blank interval standard deviation is negatively correlated with the text regularity, i.e., the smaller the blank interval standard deviation, the more regular the blank interval between each row of pixels, and the more regular the text; the larger the blank interval standard deviation, the more dispersed the blank interval between each row of pixels, and the more scattered the text. Finally, an OCR algorithm can be used to process the region of interest to obtain the text density and the OCR confidence of the region of interest. At the same time, the coordinate information of each text block in the region of interest can be obtained.

[0034] The weight corresponding to the text density can be ω1, the weight corresponding to the text regularity can be ω2, and the weight corresponding to the OCR confidence can be ω3. Then, the weighted sum of the text density T1, the text regularity T2, and the OCR confidence T3 can obtain the first probability p1=ω1 T1+ω2 T2+ω3 T3.

[0035] In this implementation, the image features can include at least one of color entropy, high saturation proportion, and text density complementary value. The color entropy is the entropy value of the hue of the region of interest, which can represent the richness of the color, for example, an entropy value greater than a preset entropy threshold (which can be 4.5) indicates that the region of interest is rich in color and can be an image; the high saturation proportion can be the proportion of the number of pixels with a saturation greater than a preset saturation threshold (which can be 0.7) in the region of interest; and the complementary value of the text density is (1-text density).

[0036] The display drive controller 10 can first convert the current frame into HSV space, extract the hue value H in the HSV space, and perform statistics to obtain a hue histogram. Then, the display drive controller 10 can calculate the hue entropy based on the hue histogram to obtain the color entropy of the region of interest. Finally, the display drive controller 10 can calculate the saturation of each pixel in the region of interest, determine the proportion of the number of pixels with saturation greater than a preset saturation threshold, and obtain the high saturation proportion.

[0037] The weight corresponding to the color entropy can be ω4, the weight corresponding to the high saturation proportion can be ω5, and the weight corresponding to the text density complementary value can be ω6. The second probability p2 that the region of interest is an image type can be obtained by performing weighted summation on the color entropy I1, the high saturation proportion I2, and the text density complementary value (1-T1) as follows: p2=ω4 I1+ω5 I2+ω6 (1-T1).

[0038] In this implementation, the video features can include at least one of a mean-square error (MSE) between frames, a variance of a motion vector field, and a frame change rate. The greater the inter-frame MSE, the lower the similarity between adjacent two frames, and the greater the probability that the current frame belongs to a video type. The variance of the motion vector field is used to represent the dispersion degree of all motion vectors in the current frame. The greater the variance of the motion vector field, the more motion objects in the current frame and the higher the motion complexity, and the greater the probability that the current frame belongs to a video type. The display drive controller 10 can use an optical flow method (for example, the Lucas-Kanade algorithm) to process the current frame and the previous frame to obtain the frame change rate.

[0039] The weight corresponding to the inter-frame mean-square error can be ω7, the weight corresponding to the variance of the motion vector field can be ω8, and the weight corresponding to the frame change rate can be ω9. The third probability p3 that the region of interest is a video type can be obtained by performing weighted summation on the inter-frame mean-square error V1, the variance of the motion vector field V2, and the frame change rate V3 as follows: p3=ω7 V1+ω8 V2+ω9 V3.

[0040] In a possible implementation, the weights corresponding to the text features, the image features, and the video features can be set by professionals based on experience or obtained through training. For example, the weights corresponding to the text features, the image features, and the video features can be as follows: ω1=0.5, ω2=0.3, ω3=0.2; ω4=0.6, ω5=0.3, ω6=0.1; ω7=0.7, ω8=0.2, ω9=0.1.

[0041] In a possible implementation, after determining the probabilities of the display types to which the region of interest belongs, the probability of the region of interest belonging to a certain display type in the current frame can be further verified based on the stability of the probability of the region of interest belonging to the certain display type in the last multiple frames, and the probability of the display type can be adjusted based on the stability verification result. For example, the variance of the probability of the region of interest belonging to the text type in the last five consecutive frames can be calculated to determine the stability of the probability of the region of interest belonging to the text type in the current frame. If the stability of the probability of the region of interest belonging to the certain display type in the current frame is low (the probability variance is less than a preset variance threshold), the probability with higher stability in history can be used as the probability in the current frame. For example, the stability of the probability of the region of interest belonging to the text type in the current frame is low, and the stability of the probability of the region of interest belonging to the text type in the last frame is high, so the probability of the region of interest belonging to the text type in the last frame can be used as the probability of the region of interest belonging to the text type in the current frame.

[0042] In a possible implementation, for each region of interest in the current frame, after determining the probabilities of different display types to which the region of interest belongs, the related parameters of the region of interest can be represented in the following form: { "region_id": 1, # Region of interest identifier "bounding_box": [x1, y1, x2, y2], # Region of interest coordinates "type_distribution": { "text": 0.65, # Probability of belonging to the text type "image": 0.20, # Probability of belonging to the image type "video": 0.15 # Probability of belonging to the video type }, In step 103, the display influencing factor of the display panel is collected, and the adjustment multiple of the display parameter of each region of interest under the influence of the display influencing factor of the display panel is determined according to the display influencing factor and the display parameter adjustment information.

[0043] In the embodiment of the application, in addition to the display types to which the region of interest belongs, some internal factors (for example, hardware parameters) or external factors (for example, environmental parameters) of the display panel that affect the display parameter also need to be considered, that is, the influence of the display influencing factor of the display panel on the display parameter. Specifically, the influence of the display influencing factor on the display parameter can be quantified as an adjustment multiple of the display parameter, and the display parameter is adjusted based on the adjustment multiple.

[0044] This application embodiment can pre-construct display parameter adjustment information based on the experience of professionals or through experiments, and store it locally on the display panel. The display parameter adjustment information includes the correspondence between multiple display parameters, multiple display influence factors, and adjustment factors. The display parameters may include at least one of the display panel's brightness, color temperature, contrast ratio, saturation, sharpness, and refresh rate; the display influence factors may include at least one of ambient light intensity, the remaining battery power of the display panel, and the device temperature of the display panel. Therefore, the display parameter adjustment information may include a first adjustment factor for each display parameter under the influence of remaining battery power, a second adjustment factor under the influence of temperature, and a third adjustment factor under the influence of light intensity.

[0045] Before adjusting the display parameters of the current frame, the display driver controller 10 can acquire the display influence factor of the display panel. For example, it can directly obtain the remaining battery power, acquire the internal temperature of the display panel through a built-in temperature sensor, and acquire the ambient light intensity through devices such as a lux meter. Then, based on the current display influence factor, the display driver controller 10 can search in pre-configured display parameter adjustment information to determine the adjustment factor of the display parameters (or the range of display parameters) of each region of interest in the current frame under the influence of the current display influence factor of the display panel.

[0046] For example, find and determine the first adjustment factor F of the brightness value of each region of interest under the influence of the current remaining battery power of the display panel. bat1 The second adjustment factor F under the influence of the current temperature of the display panel. temp1 The third adjustment factor F under the influence of the current light intensity env1 The first adjustment factor F of the color temperature of each region of interest under the influence of the current remaining battery power of the display panel. bat2 The second adjustment factor F under the influence of the current temperature of the display panel. temp2 The third adjustment factor F under the influence of the current light intensity env2 The first adjustment factor F of the contrast of each region of interest under the influence of the current remaining battery power of the display panel. bat3 The second adjustment factor F under the influence of the current temperature of the display panel. temp3 The third adjustment factor F under the influence of the current light intensity env3 .

[0047] Taking the adjustment factor of brightness value under the influence of display influencing factors as an example, the adjustment factor of brightness value under the influence of remaining battery power and temperature can be in the range of [0.6, 1.0], and the adjustment factor under the influence of light intensity can be in the range of [0.7, 1.2]. When the remaining charge B < 10, F bat1= 0.6, that is, when the power is extremely low, the brightness is reduced by 40%; when 10 ≤ B < 30, F bat1 = 0.8; when B ≥ 30, F bat1 = 1.0.

[0048] When the temperature t ≤ 40, F temp1 = 1.0; when 40 < t ≤ 45, F temp1 = 0.8; when t > 45, F temp1 = 0.6, that is, when the internal temperature of the display panel is relatively high, high-temperature protection is performed and the brightness is reduced by 40%.

[0049] When the light intensity L < 50, F env1 = 0.7, that is, in a low-light environment, the brightness is reduced by 30%; when 50 ≤ L < 300, F env1 = 1.0, that is, in a normal light environment, no brightness adjustment is performed; when L ≥ 300, F env1 = 1.2, that is, in a bright environment, the brightness is increased by 20%.

[0050] Step 104: For each display parameter of each region of interest, determine the target value of the display parameter according to the probability of each display type to which the region of interest belongs, the reference value of the display parameter corresponding to each display type, and the adjustment multiple of the display parameter, and adjust the display parameter of the region of interest to the target value.

[0051] In the embodiments of the present application, the reference values of each display parameter when the current frame (region of interest) belongs to different display types can be determined based on the experience of professionals or through experiments, and stored locally. For example, when the region of interest belongs to the text type, the reference value of the brightness is 350 - 400 nit, the reference value of the color temperature is 4500 - 5500 K, and the reference value of the contrast ratio is ≥ 1.5:1. When the region of interest belongs to the image type, the reference value of the brightness is 400 - 450 nit, the reference value of the color temperature is 5500 - 6500 K, and the reference value of the contrast ratio is 1.3 - 1.5:1. When the region of interest belongs to the video type, the reference value of the brightness is 450 - 500 nit, the reference value of the color temperature is 6500 - 7500 K, and the reference value of the contrast ratio is ≥ 1.8:1. Specifically in calculations, the reference value can take the median, or the upper limit, or the lower limit of the above range.

[0052] The display driving controller 10 can first preliminarily adjust the reference values of each display parameter based on the probability of each display type to which the region of interest belongs, referring to different display parameter adjustment schemes corresponding to different display types. Then, further adjustment is performed based on the adjustment multiple corresponding to each display parameter to obtain the final target value of each display parameter. Finally, by adjusting the display parameters of each region of interest to the corresponding target values, the adjustment of the display parameters of the current frame of the display panel can be achieved.

[0053] The method provided in this application can acquire the current frame of a display panel, perform key region detection on the current frame to obtain at least one region of interest (ROI), and determine the probability of each ROI belonging to a different display type. Then, it collects the display influence factor of the display panel and determines the adjustment factor of the display parameters of each ROI under the influence of the display influence factor based on the display influence factor and display parameter adjustment information. Finally, for each display parameter of each ROI, it determines the target value of the display parameter based on the probability of the ROI belonging to each display type, the baseline value of the display parameter corresponding to each display type, and the adjustment factor of the display parameter, and adjusts the display parameter of the ROI to the target value. That is, when adjusting the display parameters of the current frame of the display panel, this application considers the different display content of different ROIs and can perform targeted adjustments for each ROI, effectively improving the accuracy of the display parameter adjustment of the display panel; at the same time, adjusting the display parameters only for the ROI in the current frame can effectively reduce the power consumption of the display panel. Moreover, this application also considers the influence of internal or external factors of the display panel on the display parameters, and further adjusts the display parameters based on the display content by considering the display influence factor, further improving the accuracy of the display parameter adjustment of the display panel.

[0054] In one embodiment, considering the differences in location, function, and user interaction level among different regions of interest (ROIs) in the current frame, different priorities can be assigned to each ROI to adjust display parameters at different response speeds or to different degrees. This embodiment includes, for example... Figure 3 The steps shown are as follows: Step 201: Determine the priority of each region of interest.

[0055] The priority is related to the degree of user interaction, functionality, and location of the area of ​​interest.

[0056] In this embodiment, data such as the location, duration, and stillness of user touches on the display panel can be collected to analyze the frequency and duration of user touches in different areas of interest. This allows for the scoring of the user's interaction level in each area of ​​interest, resulting in a first priority score for each area. The first priority score is positively correlated with the user's interaction level.

[0057] Then, by combining the probability of the region of interest (ROI) belonging to different display types and its position in the current frame, the function of the ROI can be analyzed. Based on this function, the importance of the content displayed in the ROI can be determined, resulting in a second priority score for the ROI. For example, if the probability of the ROI belonging to the text type is high and it is located in the center of the current frame, then the ROI is likely the main text of the article. The second priority score is positively correlated with the importance of the function.

[0058] Next, the importance of the region of interest (ROI) can be determined by the distance between its location and the center of the current frame, resulting in a third priority score for the ROI. This third priority score is negatively correlated with distance; the shorter the distance between the ROI and the center of the current frame, the closer the ROI is to the center, indicating higher importance and thus higher priority. One possible implementation is to divide the current frame into a central region and edge regions, determining the third priority score based on the region where the ROI is located. For example, the third priority score for the central region could be 0.9, while the third priority score for the edge region could be 0.4.

[0059] Finally, considering the different impacts of user interaction, functionality, and location on display parameters, different weights can be assigned. The final priority score of the region of interest is obtained by weighted summation of the corresponding priority scores based on these weights. This can be expressed as the following formula: S k =α1×S k1 +α2×S k2 +α3×S k3 Among them, S k Let S be the priority of the k-th region of interest, α1 be the weight corresponding to the degree of user interaction, α2 be the weight corresponding to the function, α3 be the weight corresponding to the location, and S be the priority of the region of interest. k1 S is the first priority score for the k-th region of interest. k2 S is the second priority score for the k-th region of interest. k3 The third priority score is given to the k-th region of interest. The weights corresponding to user interaction level, function, and location can be set by professionals based on experience, or obtained through experiments or data training. For example, α1 can be 0.4, α2 can be 0.4, and α3 can be 0.2.

[0060] Step 202: Adjust the target values ​​of the display parameters according to their priority and the preset difference adjustment methods for each display parameter.

[0061] The difference adjustment method includes the relationship between priority and the adjustment amount of display parameters.

[0062] In this embodiment, the priority can be compared with a preset priority threshold, and the region of interest can be divided into two types based on the comparison result: core region and non-core region. Specifically, if the priority is greater than or equal to the priority threshold, the region of interest is a core region; if the priority is less than the priority threshold, the region of interest is a non-core region.

[0063] The adjustment methods for display parameters (brightness and refresh rate) that significantly affect the power consumption of the display panel can be as follows: Brightness: If the area of ​​interest is the core area, then the brightness value is the target value corresponding to the brightness determined above. That is, S k ≥S threshold At that time, L k_final =L k_adj If the area of ​​interest is a non-core area, the target brightness value is adjusted (reduced) according to the preset priority and brightness value relationship to reduce the power consumption of the display panel. That is, S k threshold At that time, L k_final =L k_adj [η+(1-η)x(S k / S threshold ) 2 ]. Wherein, is S threshold Preset priority threshold, L k_adj The target value corresponding to the brightness value determined above, taking into account the display type and display influence factors of the region of interest, is L. k_final The brightness value adjusted for the target value to take into account the priority of the region of interest. η is a scaling factor, ranging from 0.5 to 1. Refresh rate: If the probability of the video type belonging to the region of interest is high (greater than a preset probability threshold, or the maximum probability among the three display types), the refresh rate of the current frame is limited to the base refresh rate value to reduce the power consumption of the display panel.

[0064] The adjustment methods for display parameters (contrast and saturation) that have a significant impact on visual perception can be as follows: If the region of interest is a core region, the display parameters are adjusted according to the target values ​​determined above; if the region of interest is a non-core region, the target value corresponding to the contrast is adjusted according to the preset priority and the relationship between contrast, and the target value corresponding to the saturation is adjusted according to the preset priority and the relationship between saturation.

[0065] ​The following are methods for adjusting display parameters (sharpness and color temperature) that have a significant impact on display quality: Sharpness: Adjust the target sharpness value according to the display type and function of the area of ​​interest. Color Temperature: If the area of ​​interest is a core area, adjust the color temperature value to the target value with a higher response time; if the area of ​​interest is a non-core area, adjust the color temperature value to the target value with a relatively lower response time.

[0066] The method provided in this application embodiment can determine the priority of each region of interest by considering the user interaction level, function, and location. Then, based on the priority, the target values ​​of the display parameters are adjusted according to the preset difference adjustment methods corresponding to each display parameter. That is, this application embodiment further considers multiple factors such as user interaction level, function, and location to further adjust the target values ​​of the display parameters, so as to improve or ensure the display effect of the display panel while reducing the power consumption of the display panel.

[0067] The embodiments described above introduce a scheme for determining the target values ​​of each display parameter by considering the display type of the region of interest and the display influence factor. In another embodiment of this application, the target value can be obtained by sequentially calculating the baseline value of the display parameter based on the probability of the display type and the adjustment factor corresponding to each display influence factor. For example, the aforementioned "determining the target value of the display parameter based on the probability of each display type of the region of interest, the baseline value of the display parameter corresponding to different display types, and the adjustment factor of the display parameter" can include, for example: Figure 4 The steps shown are as follows: Step 301: Using the probability of each display type belonging to the region of interest as a weight, perform a weighted summation of the baseline values ​​of the display parameters corresponding to different display types to obtain candidate values ​​of the display parameters.

[0068] In this embodiment, considering the complexity of the displayed content in the region of interest, it is not possible to directly use the baseline value of the display parameter corresponding to a certain display type as the target value of the display parameter. Therefore, referring to the distribution of different types of displayed content in the region of interest, the probability of each display type to which the region of interest belongs is used as a weight, and the baseline values ​​of the display parameters corresponding to different display types are weighted and summed to obtain the candidate values ​​of the display parameters. That is, the candidate values ​​of each display parameter in the region of interest are calculated according to the following formula:

[0069] in, These are candidate values ​​for the display parameters of the k-th region of interest. Let i be the probability of the region of interest belonging to the i-th display type. This is the baseline value when the display type corresponds to the i-th display type.

[0070] The probability that the k-th region of interest is a text type is the first probability. The probability that the region of interest is an image type is the second probability. The probability that the region of interest is a video type is the third probability. The base value for displaying parameters corresponding to text types is the first base value. The baseline value for displaying parameters corresponding to the image type is the second baseline value. The baseline value for displaying parameters corresponding to the video type is the third baseline value. For example, the candidate values ​​for the display parameters are obtained by weighted summation based on the first probability, second probability, and third probability, respectively, using the following formula:

[0071] Step 302: Determine the target value of the display parameter based on the candidate values ​​of the display parameter and the adjustment factor of the display parameter.

[0072] In this embodiment of the application, after determining the candidate values ​​of the display parameters by taking into account the influence of the display type of the region of interest on the display parameters, the candidate values ​​can be adjusted according to the adjustment multiple of each display influence factor to obtain the target value of the display parameters.

[0073] In one possible implementation, candidate values ​​can be calculated. The first adjustment factor F of the display parameter under the influence of remaining battery power. bat The second adjustment factor F of the display parameter under the influence of temperature. temp And the third adjustment factor F of the display parameters under the influence of light intensity env The product of these factors yields the target value of the display parameter. Specifically, the target value of the display parameter is calculated using the following formula:

[0074] The method provided in this application, when determining the target value of display parameters considering display type and display influence factors, specifically uses the probability of each display type belonging to the region of interest as a weight, and performs a weighted summation of the baseline values ​​of the display parameters corresponding to different display types to obtain candidate values ​​of the display parameters. Then, the target value of the display parameters is determined based on the candidate values ​​of the display parameters and the adjustment factor of the display parameters. When adjusting the display parameters of the display panel in the current frame, this application takes into account the different display content of different regions of interest, and can perform targeted adjustments for each region of interest, which can improve the accuracy of the display parameter adjustment of each region of interest, thereby effectively improving the precision of the display parameter adjustment of the display panel.

[0075] In one embodiment, before analyzing the probability of the display type belonging to the region of interest and the adjustment factor of the display influence factor, a preset display rule matching can be performed first. If the current state of the display panel conforms to the preset display rules, then the display parameters can be directly adjusted according to the preset display rules. This embodiment includes the following steps: Obtain the current operating mode of the display panel, and perform a match in the preset display rule library based on the current operating mode. If there is an operating mode in the preset display rule library that matches the current operating mode of the display panel, then adjust the display parameters of the current frame of the display panel according to the display parameter values ​​corresponding to the operating mode matched in the preset rule library.

[0076] The preset rule base includes the correspondence between different operating modes and different display parameter values.

[0077] In this embodiment, the operating parameters of the display panel, such as the working status of the game decoder, video decoder, preset software, and the activation status of the user-specified mode, can be collected, and the operating status of the display panel can be analyzed based on these parameters. For example, when the game decoder on the display panel is active, the display panel is currently in game mode, and therefore, the current frame can be adjusted according to the display parameters corresponding to the preset game mode. Similarly, when the graphics software on the display panel is active, the display panel is currently in graphics mode, and therefore, the current frame can be adjusted according to the display parameters corresponding to the preset graphics mode. Furthermore, if a user's manual adjustment of the display parameters is received, the user-specified display parameters will be adjusted first.

[0078] This application embodiment can set corresponding display parameters for special operating modes of the display panel, construct a preset display rule library, and prioritize the adjustment of the display panel according to the display parameters in the preset display rule library, effectively improving the flexibility of display panel parameter adjustment.

[0079] In one embodiment, before adjusting the display parameters based on the target value, the rationality and feasibility of the target value can be verified. This embodiment may include the following steps: Perform at least one of the following checks on the target value of the displayed parameter: absolute range check and rate of change limit range check, and adjust the target value based on the check results.

[0080] The absolute range represents the range of display parameters supported by the hardware parameters and software logic of the display panel.

[0081] In this embodiment, the display panel, under the constraints of hardware parameters and software logic, has a physically supported absolute range for display parameters. If the display parameters exceed this absolute range, it will lead to an error in the display parameter adjustment. Therefore, the target value of the display parameter can be compared with the corresponding absolute range. If the target value exceeds the corresponding absolute range, the target value needs to be adjusted to the corresponding absolute range.

[0082] For example, the backlight module of the display panel supports a pixel brightness range (absolute range corresponding to brightness) of 1-600 nits; the color management chip of the display panel can achieve a color temperature range (absolute range corresponding to color temperature) of 2700K-10000K; and the display driver controller 10 of the display panel supports refresh rate ranges and levels (absolute range corresponding to refresh rate) of 30Hz, 60Hz, 90Hz, and 120Hz. To avoid detail loss and harsh images, the contrast ratio range (absolute range corresponding to contrast ratio) of the display panel is limited to 0.5-2 times the baseline value. To avoid color overflow or image distortion, the saturation range (absolute range corresponding to saturation) of the display panel is limited to 0-1.5 times the baseline value. To avoid excessive blurring or introducing severe ringing effects, the sharpness level range (absolute range corresponding to sharpness) of the display panel is limited to 0-5 levels.

[0083] The change rate limit range is the limit range of the change rate of display parameters between two adjacent frames.

[0084] In this embodiment, to avoid abrupt changes in display parameters between adjacent frames that could affect the display effect and visual experience, it is necessary to limit the rate of change of display parameters between adjacent frames. Specifically, the difference between the target value of the display parameter in the current frame and the target value in the previous frame can be calculated first to obtain the actual change in the display parameter. Then, based on this actual change and the rate of change limit, the maximum change in the display parameter can be calculated. For example, the actual change can be multiplied by the upper limit of the rate of change limit to obtain the maximum change in the display parameter. The sum of the target value of the display parameter in the previous frame and the maximum change is calculated to obtain the maximum value of the display parameter in the current frame. Finally, the target value of the display parameter in the current frame is compared with the maximum value. If the target value does not exceed the maximum value, the display parameter is adjusted according to the target value; if the target value exceeds the maximum value, the display parameter is adjusted according to the maximum value.

[0085] Considering that the range of change rate limits is affected by the frame interval Δt and the time constant τ, the maximum value of the display parameter in the current frame can be calculated by the following formula: P current =P history + P× min(1, t / τ). Where, P current To display the maximum value of the parameter in the current frame, Phistory To display the target value of the parameter in the previous frame, P represents the difference between the target value of the display parameter in the current frame and the target value in the previous frame. Taking brightness as an example, if Δt = 16.7ms, the brightness duration τ = 200ms, and the brightness target value L in the previous frame... history Given a target brightness of 400 nits, calculated based on display type, display impact factor, etc., and a target value of 500 nits in the current frame, then the difference between the target brightness in the current frame and the target brightness in the previous frame is... With L = 100 nits, the maximum rate of change in brightness is (16.7 / 200) = 8.35%, therefore the maximum change in brightness is 100 nits × 8.35% = 8.35 nits, which is the maximum brightness L in the current frame. current The result is 400 + 8.35 = 408.35 nits, which is less than the target brightness value of 500 nits in the current frame. Therefore, the brightness should be adjusted to 408.35 nits.

[0086] In one possible implementation, after determining the target values ​​of the display parameters (after adjustment) for each region of interest, the display parameters can be adjusted and controlled by encoding the following instructions: Command header: { Version number: 1.0 Timestamp: current_time, Frame number: frame_id, Number of regions: N } Region parameter array: [ { Region ID: 1, Vertex coordinates: [x1, y1, x2, y2, x3, y3, x4, y4] Display parameters: { Brightness: 415, / / Unit: nits Color temperature: 5200, / / Unit: K Contrast ratio: 140, / / Percentage representation Saturation: 105, / / Percentage representation Sharpness: 2, / / Level 0-10 Refresh rate: 60 / / Unit: Hz } }, / / ... other areas ] In one possible implementation, when adjusting display parameters via instructions, adjustments can be made only to the regions of interest where the display parameters change, thereby improving the efficiency of display parameter adjustment. The instructions can be compressed to improve data transmission efficiency. Control instructions for regions of interest with higher priority can be transmitted first.

[0087] The method provided in this application embodiment can perform at least one of absolute range verification and rate of change limit range verification on the target value of the display parameter, and adjust the target value based on the verification result to ensure the feasibility and rationality of the display parameter adjustment.

[0088] In one embodiment, such as Figure 1 As shown, a display panel is provided, which includes a display driver controller 10 and a display screen 20. The display driver controller 10 implements the display parameter adjustment method described in the above embodiment during operation to adjust the display parameters of the display screen 20. The display parameter adjustment method includes: acquiring the current frame of the display panel; performing key region detection on the current frame to obtain at least one region of interest (ROI); determining the probability of each ROI belonging to a different display type; the display types include text, image, and video; collecting the display influence factor of the display panel; determining the adjustment factor of the display parameters of each ROI under the influence of the display influence factor of the display panel based on the display influence factor and display parameter adjustment information; the display parameter adjustment information includes the correspondence between multiple display parameters, multiple display influence factors, and adjustment factors; for each display parameter of each ROI, determining the target value of the display parameter based on the probability of the ROI belonging to each display type, the baseline value of the display parameter corresponding to each display type, and the adjustment factor of the display parameter, and adjusting the display parameter of the ROI to the target value.

[0089] The display panel provided in this application embodiment, based on the above-described display parameter adjustment method, can achieve targeted adjustment of each region of interest in the current frame, effectively improving the accuracy of display parameter adjustment. Simultaneously, adjusting display parameters only for the regions of interest in the current frame can effectively reduce power consumption. Furthermore, the display panel provided in this application embodiment also considers the influence of internal or external factors on display parameters, further adjusting display parameters based on display content and considering display influencing factors, thereby further improving the accuracy of display parameter adjustment.

[0090] In one embodiment, a display device is provided, which includes the display panel described in the above embodiments. The display panel includes a display driver controller 10 and a display screen 20. The display driver controller 10 implements the display parameter adjustment method described in the above embodiments during operation to adjust the display parameters of the display screen 20.

[0091] It should be noted that although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the operations shown must be performed to achieve the desired result. On the contrary, the steps depicted in the flowchart may be performed in a different order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0092] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0093] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A method for adjusting display parameters, characterized in that, Applied to a display panel, the method includes: Obtain the current frame of the display panel, perform key region detection on the current frame, and obtain at least one region of interest; Determine the probability of each region of interest belonging to a different display type; the display types include text, image, and video; The display influence factor of the display panel is collected, and the adjustment factor of the display parameters of each region of interest under the influence of the display influence factor of the display panel is determined according to the display influence factor and the display parameter adjustment information; the display parameter adjustment information includes the correspondence between multiple display parameters, multiple display influence factors and adjustment factors; For each display parameter of each region of interest, a target value of the display parameter is determined based on the probability of each display type to which the region of interest belongs, the baseline value of each display parameter corresponding to each display type, and the adjustment factor of the display parameter, and the display parameter of the region of interest is adjusted to the target value.

2. The method according to claim 1, characterized in that, The method further includes: Determine the priority of each region of interest; the priority is related to the degree of user interaction, function, and location of the region of interest. According to the priority, the target value of the display parameter is adjusted according to the preset difference adjustment method corresponding to each of the display parameters; the difference adjustment method includes the relationship between the priority and the adjustment amount of the display parameter.

3. The method according to claim 1, characterized in that, The step of determining the target value of the display parameter based on the probability of each display type belonging to the region of interest, the baseline value of the display parameter corresponding to different display types, and the adjustment factor of the display parameter includes: Using the probability of each display type belonging to the region of interest as a weight, the baseline values ​​of the display parameters corresponding to different display types are weighted and summed to obtain the candidate values ​​of the display parameters; The target value of the display parameter is determined based on the candidate values ​​of the display parameter and the adjustment factor of the display parameter.

4. The method according to claim 3, characterized in that, The step of using the probability of each display type belonging to the region of interest as a weight to perform a weighted summation of the baseline values ​​of the display parameters corresponding to different display types to obtain candidate values ​​of the display parameters includes: The candidate values ​​of the display parameters are obtained by weighted summation of the first benchmark value, the second benchmark value, and the third benchmark value based on the first probability, the second probability, and the third probability, respectively; the first probability is the probability that the region of interest is text type, the second probability is the probability that the region of interest is image type, and the third probability is the probability that the region of interest is video type; the first benchmark value is the benchmark value when the display parameter corresponds to text type, the second benchmark value is the benchmark value when the display parameter corresponds to image type, and the third benchmark value is the benchmark value when the display parameter corresponds to video type.

5. The method according to claim 3, characterized in that, The display influencing factors include hardware parameters and environmental parameters. The hardware parameters include the remaining battery power and temperature of the display panel, and the environmental parameters include light intensity. Determining the target value of the display parameters based on candidate values ​​and adjustment factors includes: The target value of the display parameter is obtained by multiplying the candidate value, the first adjustment factor of the display parameter under the influence of the remaining power, the second adjustment factor of the display parameter under the influence of the temperature, and the third adjustment factor of the display parameter under the influence of the light intensity.

6. The method according to claim 1, characterized in that, Before determining the target value of the display parameter, the method further includes: The current operating mode of the display panel is obtained, and a matching is performed in a preset display rule library based on the current operating mode. If there is an operating mode in the preset display rule library that matches the current operating mode of the display panel, the display parameters of the current frame of the display panel are adjusted according to the display parameter values ​​corresponding to the operating mode matched in the preset rule library. The preset rule library includes the correspondence between different operating modes and different display parameter values.

7. The method according to claim 1, characterized in that, The method further includes: The target value of the display parameter is subjected to at least one of absolute range verification and change rate limit range verification, and the target value is adjusted based on the verification result; the absolute range represents the range of display parameters supported by the hardware parameters and software logic of the display panel, and the change rate limit range is the limit range of the change rate of the display parameters between two adjacent frames.

8. The method according to claim 1, characterized in that, The method according to claim 1, wherein determining the probability of each of the regions of interest belonging to different display types includes; For each region of interest, at least one text feature and feature value of each text feature, at least one image feature and feature value of each image feature, and at least one video feature and feature value of each video feature are determined for each region of interest. The feature values ​​of each text feature are weighted and summed based on their respective weights to obtain the first probability that the region of interest is a text type. The feature values ​​of each image feature are weighted and summed based on their respective weights to obtain a second probability that the region of interest is an image type. The feature values ​​of each video feature are weighted and summed based on their respective weights to obtain the third probability that the region of interest is a video type.

9. A display panel, characterized in that, The display panel includes a display driver controller and a display screen. When the display driver controller is running, it implements the display parameter adjustment method according to any one of claims 1-8 to adjust the display parameters of the display screen.

10. A display device, characterized in that, The display device includes the display panel as described in claim 9.

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