CN115240606A - Dynamic dimming method for twice backlight correction area based on maximum value method - Google Patents
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Abstract
The invention provides a dynamic dimming method for twice backlight correction areas based on a maximum value method, which comprises the following steps: step 1): obtaining the brightness value of each pixel point of the input image, and extracting the brightness value of the pixel of the input image; step 2): performing virtual image segmentation according to the physical backlight bead arrangement; step 3): obtaining an initial backlight value; step 4): correcting the backlight for the first time; step 5): simulating the projection diffusion process of the backlight in the backlight cavity by using a multiplication fuzzy algorithm; step 6): comparing the backlight after the simulated projection diffusion with the pixel brightness value of the input image to obtain a difference value, and obtaining a second backlight correction value; step 7): and carrying out second correction on the backlight value after the first correction to obtain the final image backlight value. By applying the technical scheme, the backlight power consumption can be reduced while the image contrast is improved.
Description
Technical Field
The invention relates to the technical field of liquid crystal television backlight, in particular to a dynamic dimming method for twice backlight correction areas based on a maximum value method.
Background
Along with the continuous development of scientific technology, the performance of electronic products is continuously improved, the requirements of consumers on the performance of the electronic products are also continuously improved, and the screen is used as a large module for man-machine interaction and directly influences the use experience of the consumers, so that the research and development of the display technology are promoted to be very important. Because the Micro-LED still has some key technologies such as massive transfer, dead pixel detection and the like to overcome, the current display technology is in the transition stage of advancing to the Micro-LED, and the Mini-LED is generated as the leading technology of the Micro-LED.
The Mini-LED technology is mainly divided into two major categories, the first category is that the Mini-LED is directly used as a direct display and is driven by a Passive (PM) matrix and an Active (AM) matrix, and the display technology is closest to the Micro-LED, but as a plurality of technical problems still need to be overcome, the Mini-LED direct display cost is too high, and a certain distance exists from commercial application. The second type is to combine the Mini-LED as backlight with the LCD, the conventional LCD uses the LED backlight, since the LED is bulky and the backlight cannot be made into super-multi-partitions or not, the backlight cannot perform Local brightness control according to the characteristics of the image, and the Mini-LED backlight uses the multi-partition technology, and the backlight can be dynamically controlled according to the characteristics of the image by the Local-dimming technology to improve the display quality.
The local dimming technology comprises the following steps: the method comprises the steps of firstly extracting brightness information of an input image, virtually dividing the input image to enable virtual partitions to correspond to backlight partitions one by one, then processing backlight of each partition according to a designed algorithm to obtain a final backlight signal, and finally carrying out corresponding pixel compensation on liquid crystal pixels according to the obtained backlight signal.
The regional dimming algorithm is a core of the regional dimming technology, the excellent performance of the algorithm directly influences the improvement effect of the display quality, the current more classical algorithms have a maximum value method, an average value method, a root mean square method, an error correction method and the like, although the classical algorithms mutually overcome the defects of other algorithms, the algorithms have some obvious defects, such as: although the maximum method can avoid truncation artifacts, a part of dark regions can not be effectively reduced, and the improvement of contrast and the reduction of power consumption are influenced; although the averaging method reduces the backlight power consumption, obvious truncation artifacts are generated locally; the rms dimming effect is between the first two, but the generation of truncation artifacts cannot be avoided; the error correction method is only suitable for a few types of images due to weight fixation. Therefore, the innovation and the upgrade of the local dimming algorithm are very important.
Disclosure of Invention
In view of the above, the present invention provides a dynamic dimming method for twice backlight modification area based on a maximum method, so as to achieve the purpose of reducing backlight power consumption while improving image contrast.
In order to achieve the purpose, the invention adopts the following technical scheme: the dynamic dimming method for twice backlight modification areas based on the maximum value method comprises the following steps:
step 1): obtaining the brightness value of each pixel point of the input image, and extracting the brightness value of the pixel of the input image;
step 2): performing virtual image segmentation according to the physical backlight bead arrangement;
and step 3): obtaining an initial backlight value;
step 4): correcting the backlight for the first time;
step 5): simulating the projection diffusion process of the backlight in the backlight cavity by using a multiplication fuzzy algorithm;
step 6): comparing the backlight after the simulated projection diffusion with the pixel brightness value of the input image to obtain a difference value, and obtaining a second backlight correction value;
step 7): and carrying out second correction on the backlight value after the first correction to obtain the final image backlight value.
In a preferred embodiment, the pixel brightness value extraction in step 1) is to use a sub-pixel method to extract a brightness lattice corresponding to each pixel point of the input image by taking the value of the channel with the maximum brightness information among the R, G, B three channels of each pixel point in the input image as the brightness value of the pixel point.
In a preferred embodiment, the physical backlight beads in step 2) are arranged in a matrix form, and the pixel points of the image are divided in the same matrix form, so that the pixel points of the image correspond to the backlight lamps in the form of matrix blocks one to one, that is, the brightness values of the pixel points in the area are reflected by the corresponding backlight lamps.
In a preferred embodiment, step 3) selects the maximum method, i.e. the brightness value of the brightest pixel point in the region represents the overall brightness value of the region to obtain the initial backlight value BL _ int x,y 。
In a preferred embodiment, step 4) uses formula (1) to perform the first backlight correction:
wherein BL _ sec x,y Indicating the backlight value after the first correction, BL _ int x,y The initial backlight value of the image is represented, (x, y) represents a virtual partition coordinate, n is the gray level of the image, alpha is a correction factor, the alpha value is larger than 1, the larger the alpha value is, the larger the correction amplitude is, the larger the backlight overall brightness is reduced, the closer the alpha value is to 1, the smaller the correction amplitude is, and the smaller the backlight overall brightness is reduced.
In a preferred embodiment, the multiplication fuzzy algorithm in step 5) performs multiple processing on the backlight value after the first correction, and simulates a projection diffusion process of the backlight in the backlight cavity, so that the backlight values are fully mixed, and thereby, the high-resolution backlight distribution is obtained.
In a preferred embodiment, step 6) obtains the second backlight correction value by using the following formula:
wherein C is a very small number to avoid meaningless condition when denominator is zero, (m, n) represents virtual partition coordinates, i.e. the m-th row and n-th column of virtual partitions, (i, j) represents local area coordinates in the virtual partitions,
representing the mean value of the luminance of a virtually partitioned local area of the luminance of the pixels of the input image,
representing the average value of the brightness of the backlight virtual subarea local area after the multiplication blurring processing,
expressing the difference ratio, K, between the average value of the pixel brightness of the input image in the virtual partition local area and the corresponding average value of the brightness of the backlight virtual partition local area after multiplication blurring processing 1 、K 2 Upper limits of row-column coordinates representing the local areas of the virtual partition (m, n), respectively, the product of which is the total number of local areas in the virtual partition, s (m,n) And the partition brightness difference degree represents the virtual partition brightness mean difference ratio obtained by summing and averaging the brightness mean difference ratios of the local areas of the virtual partitions.
In a preferred embodiment, step 7) performs a second backlight correction by using formula (3) to obtain a final image backlight value;
BL_end x,y ＝S (m,n) *β*BL_sec x,y (3)
wherein BL _ end x,y Representing the final image backlight value, BL _ sec x,y Representing the backlight value after the first correction, beta representing the auxiliary correction amplitude parameter value, the value of beta is between 0.9 and 1, and the difference degree s between beta and the partition brightness (m,n) The magnitude of the second backlight modification amplitude is controlled together.
Compared with the prior art, the invention has the following beneficial effects: according to the dynamic dimming method for the two-time backlight correction area based on the maximum method, optimization correction and difference correction are carried out on the backlight data obtained through the maximum method aiming at the defects of the method, and finally the obtained backlight distribution is more consistent with the backlight distribution required by image characteristics compared with the backlight distribution before correction.
Drawings
Fig. 1 is a flowchart of a method for performing local dynamic dimming twice based on maximum value correction in a preferred embodiment of the present invention.
FIG. 2 is a functional diagram of the first backlight modification in the preferred embodiment of the present invention.
FIG. 3 is a schematic diagram illustrating the processing procedure of the multiplicative blurring algorithm in the preferred embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application; as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Referring to fig. 1 to 3, the method for dynamic dimming of a backlight correction region twice based on a maximum value method includes the following steps:
step 1): obtaining the brightness value of each pixel point of the input image, and extracting the brightness value of the pixel of the input image; the extraction of the pixel brightness value in the step 1) is to adopt a sub-pixel method to take the value of the channel with the maximum brightness information in the R, G, B three channels of each pixel point in the input image as the brightness value of the pixel point, and then to extract the brightness dot matrix corresponding to each pixel point of the input image one by one. In this example, the input image pixel is 1080P (1920 × 1080), the gray (brightness) level is 256, the backlight partition is 8640 (96 × 90), each pixel of the color image is composed of three channels of RGB, if the values of the three channels are the same, the color image is a gray image, and the maximum value of the three channels of RGB of each pixel is set to the value of the three channels by using the sub-pixel method, so that the pixel brightness value (backlight data) of the input image can be obtained.
Step 2): performing virtual image segmentation according to the physical backlight bead arrangement; in the step 2), the physical backlight lamp beads are arranged in a matrix form, and pixel points of the image are divided in the same matrix form, so that the pixel points of the image correspond to the backlight lamps in a matrix block form one to one, namely the corresponding backlight lamps reflect the brightness values of the pixel points in the area. In this example, the beads are arranged in 96 × 90, so the input image is divided into 8640 blocks, where each block includes 240 (20 × 12) pixels, so the corresponding input image backlight is divided into 8640 partitions, and each partition includes 240 pixel brightness values.
Step 3): obtaining an initial backlight value; step 3) selecting a maximum value method, namely that the brightness value of the brightest pixel point in the area represents the brightness value of the whole area to obtain an initial backlight value BL _ int x,y . In this example, the maximum value method is used to find out the pixel point with the maximum brightness value in each partition, the brightness value of the pixel point represents the brightness values of all the pixel points in the partition, and 8640 'bright blocks' representing the maximum brightness value of each partition, that is, the initial backlight value BL _ int is formed x,y 。
Step 4): correcting the backlight for the first time; and step 4) performing backlight first correction by adopting a formula (1):
wherein BL _ sec x,y Indicating the backlight value after the first correction, BL _ int x,y The initial backlight value of the image is represented, (x, y) represents a virtual partition coordinate, n is the gray level of the image, alpha is a correction factor, the alpha value is larger than 1, the larger the alpha value is, the larger the correction amplitude is, the larger the backlight overall brightness is reduced, the closer the alpha value is to 1, the smaller the correction amplitude is, and the smaller the backlight overall brightness is reduced. In this example, the initial backlight value is obtained by the maximum method, and actually the image backlight is "brightened", so that it is possible to avoid truncation artifacts caused by excessive reduction of the backlight exceeding the pixel compensation limit range, but this may cause the brightness of a part of the original darker area to be raised, which affects the improvement of the image contrast and the reduction of the backlight power consumption. The backlight value is corrected for the first time by adopting the formula (1), wherein n is 255, and α is 1.2, as shown in fig. 2, the backlight brightness is reduced to a certain extent as a whole, and compared with the backlight power consumption before correction, the backlight power consumption is reduced to a certain extent, and the reduction range of the highlight area with the brightness value closer to 255 is obviously smaller than the reduction range of the dark area with the brightness value closer to 0, which indicates that the picture contrast is obviously improved after correction.
Step 5): simulating the projection diffusion process of the backlight in the backlight cavity by using a multiplication fuzzy algorithm; and 5) carrying out multiple times of processing on the backlight value after the first correction by a multiplication fuzzy algorithm, and simulating the projection diffusion process of the backlight in the backlight cavity to fully mix the backlight values so as to obtain high-resolution backlight distribution. In this example, a multiplication blurring algorithm is used, as shown in fig. 3, the algorithm performs linear multiplication and low-pass filter sliding convolution on the backlight value for multiple times, so as to implement diffusion blurring operation on the backlight, simulate the influence of the backlight emitted by the backlight on the backlight emitted by surrounding lamp beads, and simulate the refraction and diffusion processes of the backlight when passing through different dielectric objects (such as diffusion sheets, polarizers, reflectors, etc.) in the backlight cavity, so that the backlight values are mixed sufficiently, and a high-resolution and smooth backlight image can be obtained, and the influence of blocking effect is eliminated.
Step 6): comparing the backlight after the simulated projection diffusion with the pixel brightness value of the input image to obtain a difference value, and obtaining a second backlight correction value; and 6) obtaining a second backlight correction value by adopting the following formula:
wherein C is a very small number to avoid meaningless condition when denominator is zero, (m, n) represents virtual partition coordinates, i.e. the m-th row and n-th column of virtual partitions, (i, j) represents local area coordinates in the virtual partitions,
representing the mean value of the luminance of a virtual subarea of the luminance of the pixels of the input image,
representing the average value of the brightness of the backlight virtual subarea local area after the multiplication blurring processing,
expressing the difference ratio, K, between the average value of the pixel brightness of the input image in the virtual partition local area and the corresponding average value of the brightness of the backlight virtual partition local area after multiplication blurring processing 1 、K 2 Upper limits of row-column coordinates representing the local areas of the virtual partition (m, n), respectively, the product of which is the total number of local areas in the virtual partition, s (m,n) And the partition brightness difference degree represents the virtual partition brightness mean difference ratio obtained by summing and averaging the brightness mean difference ratios of the local areas of the virtual partitions. In this example, the backlight after the simulated projection diffusion is still divided into 8640 partitions in step 2, then, a window of 4*4 size is used in each partition, starting from the upper left corner and taking a pixel unit as a step length, all rows and columns are traversed in a sliding manner until the lower right corner of the partition is finished, the pixel brightness value in the window is changed continuously in the process, the pixel brightness mean value in the window is calculated once every change, and then the difference value between the pixel brightness mean value of each window in each virtual partition of the simulated backlight and the pixel brightness mean value of each window in each virtual partition of the corresponding input image pixel brightness is calculated according to formula (2)
Wherein m, n is partition coordinate (0 ≦ m ≦ 96,0 ≦ n ≦ 90), i, j is window coordinate (0 ≦ i ≦ 20,0 ≦ j ≦ 12), and calculating brightness difference S of each corresponding virtual partition between simulated backlight and input image pixel brightness (m,n) I.e. the second backlight correction value. The value is actually the average value of the brightness mean value differences of all corresponding windows in the two corresponding virtual partitions, so that the brightness difference degree of each virtual partition is reflected, the larger the difference is, the larger the correction amplitude of the partition is, and the smaller the difference is, the smaller the correction amplitude is, otherwise, the partition is.
Step 7): and carrying out second correction on the backlight value after the first correction to obtain the final image backlight value. Step 7) adopting a formula (3) to perform backlight second correction to obtain a final image backlight value;
BL_end x,y ＝S (m,n) *β*BL_sec x,y (3)
wherein BL _ end x,y Representing the final image backlight value, BL _ sec x,y The backlight value after the first correction is represented, beta represents an auxiliary correction amplitude parameter value, the value is between 0.9 and 1, and the difference degree s between beta and the partition brightness (m,n) The magnitude of the second backlight modification amplitude is controlled together. Specifically, steps 5 to 6 are all for obtaining the second backlight luminance correction value S (m,n) To find S (m,n) Then, the final image backlight value BL _ end can be obtained according to the formula (3) x,y ，BL_end x,y Compared with BL _ sec x,y At BL _ sec x,y The backlight value required by the input image is more fit on the basis of reducing the backlight power consumption and improving the image contrast. The obtained final backlight value BL _ end x,y Is a second backlight correction value S of each partition (m,n) BL _ int for this partition x,y The result obtained by the correction is the backlight brightness required to be emitted by each backlight partition obtained after the backlight partition is processed by the backlight correction area dynamic dimming method based on the maximum value method twice.
Claims (8)
1. The dynamic dimming method for twice backlight correction areas based on the maximum value method is characterized by comprising the following steps of:
step 1): obtaining the brightness value of each pixel point of the input image, and extracting the brightness value of the pixel of the input image;
step 2): performing virtual image segmentation according to the physical backlight bead arrangement;
step 3): obtaining an initial backlight value;
step 4): correcting the backlight for the first time;
step 5): simulating a projection diffusion process of the backlight in the backlight cavity by using a multiplication fuzzy algorithm;
step 6): comparing the backlight after the simulated projection diffusion with the pixel brightness value of the input image to obtain a difference value, and obtaining a second backlight correction value;
step 7): and carrying out second correction on the backlight value after the first correction to obtain the final image backlight value.
2. The dynamic dimming method for twice backlight modification regions based on the maximum value method as claimed in claim 1, wherein the pixel brightness value extraction in step 1) is to use a sub-pixel method to extract a brightness lattice corresponding to each pixel point of the input image by using a value of a channel with the maximum brightness information among R, G, B three channels of each pixel point in the input image as the brightness value of the pixel point.
3. The dynamic dimming method for twice backlight modification regions based on the maximum value method according to claim 1, wherein in step 2), the physical backlight beads are arranged in a matrix form, and the pixels of the image are divided in the same matrix form, so that the pixels of the image correspond to the backlight lamps in a matrix block form one to one, that is, the corresponding backlight lamps reflect the brightness values of the pixels in the region.
4. The dynamic dimming method for twice backlight modification regions based on the maximum method as claimed in claim 1, wherein the step 3) selects the maximum method, i.e. the brightness value of the brightest pixel in the region represents the brightness value of the whole region to obtain the brightness valueInitial backlight value BL _ int x,y 。
5. The dynamic dimming method for backlight modification regions based on the maximum value method as claimed in claim 1, wherein the step 4) adopts the formula (1) to perform the first backlight modification:
wherein BL _ sec x,y Indicating the backlight value after the first correction, BL _ int x,y The initial backlight value of the image is represented, (x, y) represents a virtual partition coordinate, n is the gray level of the image, alpha is a correction factor, the alpha value is larger than 1, the larger the alpha value is, the larger the correction amplitude is, the larger the backlight overall brightness is reduced, the closer the alpha value is to 1, the smaller the correction amplitude is, and the smaller the backlight overall brightness is reduced.
6. The dynamic dimming method for twice backlight modification regions based on the maximum value method as claimed in claim 1, wherein the multiplication fuzzy algorithm in step 5) performs multiple processing on the backlight value after the first modification, and simulates the projection diffusion process of the backlight in the backlight cavity, so that the backlight values are fully mixed, thereby obtaining the backlight distribution with high resolution.
7. The maximum-value-method-based dynamic dimming method for twice backlight correction regions according to claim 1, wherein the second backlight correction value is obtained in step 6) by using the following formula:
wherein C is a very small number to avoid meaningless condition when denominator is zero, (m, n) represents virtual partition coordinates, i.e. the m-th row and n-th column of virtual partitions, (i, j) represents local area coordinates in the virtual partitions,
representing the mean value of the luminance of a virtually partitioned local area of the luminance of the pixels of the input image,
representing the average value of the brightness of the backlight virtual subarea local area after the multiplication blurring processing,
expressing the difference ratio, K, between the luminance mean value of the pixel luminance virtual subarea local area of the input image and the luminance mean value of the corresponding backlight virtual subarea local area after multiplication fuzzy processing 1 、K 2 Upper limits of row-column coordinates representing the local areas of the virtual partition (m, n), respectively, the product of which is the total number of local areas in the virtual partition, s (m,n) And the partition brightness difference degree represents the virtual partition brightness mean difference ratio obtained by summing and averaging the brightness mean difference ratios of the local areas of the virtual partitions.
8. The dynamic dimming method for two backlight modification regions based on the maximum value method according to claim 1, wherein step 7) performs the backlight second modification by using formula (3) to obtain a final image backlight value;
BL_end x,y ＝S (m,n) *β*BL_sec x,y (3)
wherein BL _ end x,y Representing the final image backlight value, BL _ sec x,y Representing the backlight value after the first correction, beta representing the auxiliary correction amplitude parameter value, the value of beta is between 0.9 and 1, and the difference degree s between beta and the partition brightness (m,n) The magnitude of the second backlight modification amplitude is controlled together.
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