CN116153267A - Backlight control method for multi-contact liquid crystal display - Google Patents
Backlight control method for multi-contact liquid crystal display Download PDFInfo
- Publication number
- CN116153267A CN116153267A CN202211722188.1A CN202211722188A CN116153267A CN 116153267 A CN116153267 A CN 116153267A CN 202211722188 A CN202211722188 A CN 202211722188A CN 116153267 A CN116153267 A CN 116153267A
- Authority
- CN
- China
- Prior art keywords
- value
- brightness
- obtaining
- adjustment
- difference
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 239000004973 liquid crystal related substance Substances 0.000 title claims abstract description 25
- 230000000694 effects Effects 0.000 claims abstract description 61
- 210000001747 pupil Anatomy 0.000 claims abstract description 50
- 238000012937 correction Methods 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 5
- 238000003708 edge detection Methods 0.000 claims description 5
- 230000011218 segmentation Effects 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000003993 interaction Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/3406—Control of illumination source
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0626—Adjustment of display parameters for control of overall brightness
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Transforming Electric Information Into Light Information (AREA)
- Image Processing (AREA)
Abstract
The invention relates to the technical field of screen backlight control, in particular to a multi-contact liquid crystal screen backlight control method. The method comprises the following steps: obtaining the contact positions of the pre-display image and the screen, and obtaining the average brightness of a first pixel point of the pre-display image; obtaining a pupil area of a portrait image, obtaining human eye comfort level according to the pupil area, and obtaining screen proper brightness according to the human eye comfort level; obtaining an adjusted pre-display image according to the initial backlight adjustment value; obtaining an adjustment effect value according to the gray level difference value, the contour area contrast difference value and the screen proper brightness between the adjustment pre-display image and the pre-display image, and obtaining a first brightness adjustment value according to the adjustment effect value; increasing the first brightness adjustment value according to a preset coefficient to obtain a second brightness adjustment value; when the screen is touched, the brightness of the area is adjusted according to the second brightness adjustment value. The invention ensures the accuracy of the display brightness of the screen through the accurate backlight control of the multi-electric shock liquid crystal screen.
Description
Technical Field
The invention relates to the technical field of screen backlight control, in particular to a multi-contact liquid crystal screen backlight control method.
Background
As is well known, a liquid crystal display is a passive display device, which does not emit light itself, and requires a backlight source to display background brightness by transmission, thereby improving display effect. The liquid crystal display has various backlight source types, such as ICCFL, CCFL, and CCFL improved technology WCG-CCFL, LED, etc., and adopts cold cathode ray tube (CCFL) as backlight source, and has the biggest disadvantage of short service life, and meanwhile, CCFL uses mercury discharge to generate illumination, which is not beneficial to environmental protection. Along with the continuous improvement of the technology and performance of the LED devices, the research and development of the LED backlight technology applied to the liquid crystal display screen at home and abroad are also fully developed, and the research and development is continuous and deep.
In the prior art, the brightness of the backlight is adjusted by acquiring pupil characteristic parameters of a user. However, the intensity of light is different for each person, and the pupil characteristic parameters are subjectively affected, so that the adjusted backlight brightness is inaccurate. When a user touches the display screen to interact, the backlight brightness of the area corresponding to the display screen cannot be adjusted autonomously, and the interaction condition cannot be reflected.
Disclosure of Invention
In order to solve the technical problem that the brightness of the backlight cannot be accurately adjusted and the brightness of the display screen is deviated, the invention aims to provide a multi-contact liquid crystal display backlight control method, which adopts the following technical scheme:
the invention provides a multi-contact liquid crystal display backlight control method, which comprises the following steps:
obtaining the contact positions of a pre-display image and a screen, and obtaining the average brightness of a first pixel point of the pre-display image; obtaining screen proper brightness, and judging whether backlight needs to be adjusted according to the difference between the screen proper brightness and the average brightness of the first pixel points; if the backlight needs to be adjusted, obtaining an adjusted pre-display image according to the initial backlight adjustment value;
obtaining an adjustment effect value according to the gray level difference value, the outline area contrast difference value and the screen proper brightness between the adjustment pre-display image and the pre-display image, and adjusting an initial backlight adjustment value according to the adjustment effect value to obtain a first brightness adjustment value; adjusting the screen brightness according to the first brightness adjustment value;
increasing the first brightness adjustment value according to a preset coefficient to obtain a second brightness adjustment value; when the screen is touched, determining the area where the contact point is located, and adjusting the brightness of the area where the contact point is located according to the second brightness adjustment value;
the method for acquiring the screen suitable brightness comprises the following steps: and acquiring a portrait image in front of a screen, acquiring a pupil area of the portrait image, acquiring human eye comfort level according to the size of the pupil area, and acquiring the proper brightness of the screen according to the human eye comfort level.
Further, the method for acquiring the pupil area of the portrait image includes:
and carrying out semantic segmentation on the portrait image to obtain a human eye region, obtaining circular regions in the human eye region through a Hough circle detection algorithm, obtaining the radiuses of all the circular regions and the average gray value in the circle, multiplying the average gray value of each circular region by the radius to obtain an impossible value of which the corresponding circular region is a pupil, and obtaining the circular region corresponding to the smallest impossible value as the pupil region of the human eye region.
Further, the method for obtaining the comfort level of human eyes according to the size of the pupil area comprises the following steps:
obtaining the pupil area, the human eye area and the brightness value of the previous frame screen, taking the difference value between a preset brightness reference value and the brightness value of the previous frame screen as a molecule, taking the ratio of the molecule to the preset brightness reference value as a first result, taking the sum of a constant 1 and the first result as a second result, and taking the product of the absolute value of the first result and the second result as a correction weight; and obtaining the ratio of the pupil area to the human eye area, and taking the product of the correction weight and the ratio as the human eye comfort level.
Further, the method for obtaining the gray scale difference value includes:
taking the pixel points in the pre-display image as first pixel points, adjusting the pixel points in the pre-display image as second pixel points, taking the first pixel points and the second pixel points in the same position as a pixel point matching pair, calculating the gray difference between each pixel point in the pixel point matching pair and each neighborhood pixel point in a preset neighborhood range, and obtaining the gray difference average value of each pixel point in the preset neighborhood; and calculating the absolute value of the difference value of the preset neighborhood gray difference mean value between each pixel point matching pair, and taking the sum of the absolute value of the difference value as a gray difference value.
Further, the method for obtaining the contour difference value comprises the following steps:
obtaining edge lines in the pre-display image and the adjustment pre-display image through edge detection, obtaining edge line quantity difference between the pre-display image and the adjustment pre-display image, and carrying out negative correlation mapping on the sum of the edge line quantity difference and a constant 1 and normalizing the obtained result to obtain a third result; and taking the edge line of the pre-display image at the same position and the edge line of the adjustment pre-display image as a contour matching pair, obtaining an average value of similarity values of the edge lines in the contour matching pair, and taking the product of a third result and the average value of the similarity values of the edge lines as a contour difference value.
Further, the method for obtaining the contrast difference value of the contour region comprises the following steps:
acquiring a closed edge line, namely a closed contour, in the pre-display image and the adjustment pre-display image, taking the closed contour of the pre-display image and the closed contour of the adjustment pre-display image at the same position as an area matching pair, calculating the gray difference mean value of the closed contour in each area matching pair and the surrounding adjacent closed contour, acquiring the difference absolute value of the gray difference mean value between the area matching pairs, and taking the mean value of the difference absolute values as a contour area contrast difference value.
Further, the method for obtaining the adjustment effect value includes:
and carrying out negative correlation mapping on the product of the gray level difference value and the contrast difference value of the contour area and normalizing the result to obtain a fifth result, calculating the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, subtracting the absolute value of the difference from the initial backlight adjustment value to obtain a sixth result, carrying out negative correlation mapping on the sum of the sixth result and a constant 1 and normalizing the result to obtain a seventh result, and taking the product of the contour difference value, the fifth result and the seventh result as an adjustment effect value.
Further, the method for obtaining the first brightness adjustment value according to the adjustment effect value includes:
setting an adjustment effect value threshold, and retaining an initial backlight adjustment value when the adjustment effect value is larger than the adjustment effect value threshold; when the adjustment effect value is smaller than or equal to the adjustment effect value threshold, the initial backlight adjustment value is increased according to a preset step length, and the adjustment effect value is obtained again until the adjustment effect value is larger than the adjustment effect value threshold, so that the first brightness adjustment value is obtained.
Further, the method for judging whether the backlight needs to be adjusted according to the difference between the suitable brightness of the screen and the average brightness of the first pixel point comprises the following steps:
and obtaining the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, setting a difference threshold value, and when the absolute value of the difference value is larger than the difference threshold value, adjusting the backlight.
Further, the method for obtaining the screen suitable brightness according to the human eye comfort level comprises the following steps:
and inputting the human eye comfort level into a fitting model which is fitted in advance, and outputting the screen with proper brightness.
The invention has the following beneficial effects: obtaining the contact point position of the pre-display image and the screen, obtaining the average brightness of a first pixel point of the pre-display image, and determining the initial display brightness of the pre-display image, so that the subsequent analysis of whether the display brightness of the screen needs to be adjusted or not is facilitated; the method comprises the steps of obtaining a portrait image in front of a screen, obtaining a pupil area of the portrait image, obtaining human eye comfort level according to the size of the pupil area, obtaining the human eye comfort level more accurately through the pupil area, and further obtaining proper brightness of the screen according to the human eye comfort level, so that the brightness displayed by the screen is visually comfortable for human eyes; judging whether backlight needs to be adjusted according to the difference between the proper brightness of the screen and the average brightness of the first pixel point, avoiding useless work caused by directly adjusting the brightness of the screen, and simultaneously, truly pre-displaying whether the initial display brightness of the image accords with the actual situation; if the backlight needs to be adjusted, an adjusted pre-display image is obtained according to the initial backlight adjustment value, so that the brightness of the adjusted pre-display image displayed on the screen is more fit with the comfort level of human eyes; according to the gray level difference value, the outline area contrast difference value and the screen proper brightness between the pre-display image and the pre-display image, the adjustment effect value is obtained, so that the adjustment effect value is more accurate, and the first brightness adjustment value is indirectly obtained more accurately; according to the adjustment effect value, the initial backlight adjustment value is adjusted to obtain a first brightness adjustment value, so that the first brightness adjustment value is ensured to be more in line with the actual backlight brightness; adjusting the screen brightness according to the first brightness adjustment value so that the screen brightness is closer to the proper screen brightness; the first brightness adjustment value is increased according to a preset coefficient to obtain a second brightness adjustment value, when the screen is touched, the area where the contact point is located is determined, and the brightness of the area is adjusted according to the second brightness adjustment value, so that the touch area and the non-touch area can be distinguished conveniently; finally, the display brightness of the screen is fit with the actual brightness and the comfortable brightness of human eyes, and the touch area can be accurately displayed.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a multi-contact lcd backlight control method according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to specific implementation, structure, characteristics and effects of a multi-contact liquid crystal display backlight control method according to the invention, which are provided by the invention, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
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 invention belongs.
The following specifically describes a specific scheme of the multi-contact liquid crystal display backlight control method provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a multi-contact liquid crystal display backlight control method according to an embodiment of the invention is shown, the method includes the following steps:
step S1: obtaining the contact positions of a pre-display image and a screen, and obtaining the average brightness of a first pixel point of the pre-display image; obtaining screen proper brightness, and judging whether backlight needs to be adjusted according to the difference between the screen proper brightness and the average brightness of the first pixel points; if the backlight needs to be adjusted, an adjusted pre-display image is obtained according to the initial backlight adjustment value.
Specifically, in order to better control the change of the backlight source, not only the content of the displayed image, but also the condition that the surface of the liquid crystal display screen is touched need to be considered, so that the brightness of the image finally displayed on the screen can enable the eyes of the current operator to be comfortable and reflect the touched area on the screen.
The current number of contacts and the contact positions of the screen are obtained by using existing sensors of the display screen, such as a pressure sensor and the like. A pre-display image is obtained using an image signal receiver, wherein the pre-display image is in an RGB image format.
When the backlight source is adjusted, the brightness of the pre-display image is kept undistorted to the greatest extent, and the brightness degree of the pre-display image can be adjusted.
The method for acquiring the screen proper brightness comprises the following steps: and acquiring a portrait image in front of the screen, acquiring a pupil area of the portrait image, acquiring human eye comfort level according to the size of the pupil area, and acquiring proper brightness of the screen according to the human eye comfort level. The specific operation of obtaining the screen suitable brightness is as follows:
(1) The human image is subjected to semantic segmentation to obtain human eye areas, circular areas in the human eye areas are obtained through a Hough circle detection algorithm, the radius of all the circular areas and the average gray value in the circle are obtained, the average gray value of each circular area is multiplied by the radius to obtain an impossible value of which the corresponding circular area is a pupil, and the circular area corresponding to the smallest impossible value is the pupil area of the human eye area.
In the embodiment of the invention, the U_net neural network is used for carrying out semantic segmentation on the portrait image, the input of the U_net neural network is the portrait image, and the output is the human eye area.
The labeling mode of the training set in the training process of the U_net neural network is as follows: marking the human eye area as 1 and the other areas as 0 in the training process of the U_net neural network; the u_net neural network loss function is a cross entropy loss function.
The u_net neural network is a known technology, and will not be described in detail herein.
According to the embodiment of the invention, the round areas in the human eye area are acquired by using a Hough circle detection algorithm, and as the human eye area is complex and the human eyes can reflect light in an actual scene, the pupil identification can be affected, and meanwhile, the pupil areas cannot be accurately judged by a plurality of round areas, the human eye area is subjected to gray level processing, so that gray level information corresponding to each round area, namely, an average gray level value in the circle of each round area is acquired, the round area is acquired as an impossible value of the pupil area according to the average gray level value in the circle and the radius of the corresponding round area, and the impossible value T is expressed as follows:
T＝g*r
wherein g is an average gray value in a circle of the circular area; r is the radius of the circular region; t is an impossible value for the pupil area as the circular area.
The pupil area is the smallest circular area in the human eye area, meanwhile, the pupil area is pure black, and the average gray value in the circle in the corresponding circular area is the smallest, so when T is the smallest, the corresponding circular area is the pupil area. When g is smaller, the average gray value in the circle of the circular area is smaller, the color in the circular area is closer to black, T is smaller, and the corresponding circular area is more likely to be a pupil area; when r is smaller, it is stated that the smaller the circular area, the more likely the circular area is the pupil area, and T is smaller; thus, the smaller T, the more the corresponding circular area is the pupil area.
The hough circle detection algorithm is a well-known technique, and will not be described in detail here.
(2) The pupil area, the human eye area and the brightness value of the screen of the previous frame are obtained, the difference value between the preset brightness reference value and the brightness value of the screen of the previous frame is used as a molecule, the ratio of the molecule to the preset brightness reference value is used as a first result, the sum of a constant 1 and the first result is used as a second result, and the product of the absolute value of the first result and the second result is used as a correction weight; and obtaining the ratio of the pupil area to the human eye area, and taking the product of the correction weight and the ratio as the human eye comfort level.
The pupil area, the human eye area and the screen brightness value of the previous frame are obtained, 128 is taken as a preset brightness reference value, wherein when the screen brightness value is maximum, the screen brightness value is 256, the 128 is a median value of 256, the median value 128 is taken to ensure that the obtained correction weight is a non-negative number, and the formula for obtaining the correction weight X is as follows:
wherein G is the brightness value of the screen of the previous frame; x is a correction weight; i is an absolute function.
When G is smaller, the last frame of screen is describedThe darker the shade, the greater the X; when G is larger, the brightness of the screen of the previous frame is brighter, the absolute value of the first result
The larger the second outcome->
The smaller X varies according to the actual situation, and X must be a non-negative number.
Because the sizes of the eyes are different, the pupil areas also have different sizes, and whether the screen brightness is comfortable or not is judged directly only by the fact that the area of the pupil areas is poor, the reaction of the pupil areas to the screen brightness intensity is obtained by calculating the ratio of the area of the pupil areas to the area of the eye areas, the comfort level of the eyes is obtained, and the formula for obtaining the comfort level Z of the eyes is as follows:
wherein X is a correction weight; s is pupil area; c is the area of the human eye region; z is the comfort of the human eye.
It should be noted that, when the display screen is too bright, the human eye may feel uncomfortable, and similarly, when the display screen is too dark, it may not be clearly seen, and it is certainly comfortable for the human eye; so the lower the human eye comfort when the display screen is brighter, the higher the human eye comfort when the display screen is darker; the brightness of the display screen can influence the correction weight and the ratio of the pupil area to the human eye area; the brighter the display screen, the smaller the pupil area, the less comfortable the human eye is, the darker the display screen, the larger the pupil area, and the greater the comfort of the human eye.
(3) And inputting the human eye comfort level into a fitting model which is fitted in advance, and outputting the screen with proper brightness.
According to the method for obtaining the screen suitable brightness, a fitting model is built, in the embodiment of the invention, the fitting model is linear fitting, namely, the expression is y=ax+b, wherein x is the comfort level of human eyes, y is the screen suitable brightness, a and b are conventional coefficients, and an implementer can set according to actual conditions. And taking the human eye comfort level as the input of the fitting model according to the constructed fitting model, wherein the output value of the fitting model is the screen proper brightness.
And obtaining the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, setting a difference threshold value, and when the absolute value of the difference value is larger than the difference threshold value, adjusting the backlight. The operation of whether the backlight needs to be adjusted is as follows:
the absolute value Q of the difference between the suitable brightness of the screen and the average brightness of the first pixel point is expressed as follows:
Q＝|F-V|
wherein F is the proper brightness of the screen; v is the average brightness of the first pixel point; q is the absolute value of the difference; i is an absolute function.
It should be noted that, when Q is larger, the difference between the suitable luminance of the screen and the average luminance of the first pixel point is larger, and the screen display luminance needs to be adjusted.
The embodiment of the invention sets the difference threshold value as 10, when the absolute value of the difference is larger than the difference threshold value, the screen display brightness is required to be adjusted, if F-V is larger than 0, the screen display brightness is enhanced, and if F-V is smaller than 0, the screen display brightness is inhibited; when the absolute value of the difference is less than or equal to the difference threshold, it is indicated that the screen display brightness does not need to be adjusted.
And taking the difference value of F-V as an initial backlight adjustment value, and adjusting the pre-display image according to the initial backlight adjustment value to obtain an adjusted pre-display image after adjustment.
Step S2: obtaining an adjustment effect value according to the gray level difference value, the outline area contrast difference value and the screen proper brightness between the adjustment pre-display image and the pre-display image, and adjusting an initial backlight adjustment value according to the adjustment effect value to obtain a first brightness adjustment value; and adjusting the screen brightness according to the first brightness adjustment value.
Specifically, whether adjustment is performed or not and how the adjustment is performed are determined by comparing the difference of gray information in the same area between the adjusted pre-display image and the pre-display image before adjustment. The difference of the gray information is specifically gray difference, contour difference and contour region contrast difference, and the specific operation of obtaining the corresponding gray difference value, contour difference value and contour region contrast difference value is as follows:
(1) The method for acquiring the gray level difference value comprises the following steps: taking the pixel points in the pre-display image as first pixel points, adjusting the pixel points in the pre-display image as second pixel points, taking the first pixel points and the second pixel points in the same position as a pixel point matching pair, calculating the gray difference between each pixel point in the pixel point matching pair and each neighborhood pixel point in a preset neighborhood range, and obtaining the gray difference average value of each pixel point in the preset neighborhood; and calculating the difference absolute value of the preset neighborhood gray difference mean value between each pixel point matching pair, and taking the sum of the difference absolute values as the gray difference value.
After the brightness of the pre-display image is adjusted, the pre-display image can generate larger gray scale difference between certain pixel points and 8 neighborhood pixel points in the 3*3 neighborhood of the pixel points before and after the adjustment, so that the condition of similar noise points appears in the original smooth image, and the gray scale difference average value between each pixel point in the adjusted pre-display image and the pre-display image before the adjustment and the 8 neighborhood pixel points in the 3*3 neighborhood of the pixel points is obtained; according to the difference absolute value of the gray difference mean value between the pixel point matching pairs, the formula for obtaining the gray difference value W is as follows:
wherein n is the number of pixel point matching pairs, namely the number of pixel points in the pre-display image or the number of pixel points in the pre-display image is adjusted; u (u) i The gray difference mean value between the ith pixel point in the pre-display image and 8 neighborhood pixel points in the 3*3 neighborhood of the ith pixel point; u's' i To adjust the ith pixel in the pre-display image and 8 neighboring pixels in the 3*3 neighborhoodThe gray level difference mean value between the two; and I is an absolute value function, and W is a gray scale difference value.
Note that, |u i -u′ i The smaller the I is, the smaller the gray level difference change between the pre-display image and the adjusted pre-display image is, the smaller the W is, and the more the pre-display image is adjusted to be the adjusted pre-display image, the more the pre-display image accords with the reality; i u i -u′ i The larger the I is, the larger the gray level difference change between the pre-display image and the adjustment pre-display image is, the larger the W is, and the more easily the pre-display image is adjusted to be interfered by noise points; the smaller W, the better the adjustment of the pre-display image.
(2) The contour difference value acquisition method comprises the following steps: obtaining edge lines in the pre-display image and the adjustment pre-display image through edge detection, obtaining edge line quantity difference between the pre-display image and the adjustment pre-display image, and carrying out negative correlation mapping on the sum of the edge line quantity difference and a constant 1 and normalizing the obtained result to obtain a third result; and taking the edge line of the pre-display image at the same position and the edge line of the adjustment pre-display image as a contour matching pair, obtaining the average value of the similarity values of the edge lines in the contour matching pair, and taking the product of the third result and the average value of the similarity values of the edge lines as a contour difference value.
In the embodiment of the invention, the edge line in the pre-display image is acquired and adjusted through a canny edge detection algorithm, and the shape similarity value of the contour matching pair is acquired through a shape context algorithm. When the brightness of the pre-display image is adjusted, the edge line, that is, the contour, may be changed, so that the formula for obtaining the contour difference value E according to the contour difference between the adjusted pre-display image and the pre-display image after adjustment in the embodiment of the present invention is:
b is the difference of the number of edge lines between the pre-display image and the adjustment pre-display image; m is the number of contour matching pairs, namely the number of edge lines in the pre-display image or the number of edge lines in the pre-display image is adjustedAn amount of; v j Shape similarity values between the j-th contour matching pairs; exp is an exponential function based on a natural constant e.
When b is smaller, the number of edge lines between the pre-display image and the adjustment pre-display image is equal, and the third result exp (- (b+1)) is larger, and E is larger; when v j The larger the contour matching pair, the more the shape is the same, the more the edge lines between the pre-display image and the adjusted pre-display image are similar, and the larger E is; thus, the larger E, the better the adjustment of the pre-display image.
The canny edge detection algorithm and the shape context algorithm are known techniques, and are not described in detail herein.
(3) The method for acquiring the contrast difference value of the contour region comprises the following steps: acquiring a closed edge line, namely a closed contour, in the pre-display image and the adjusted pre-display image, taking the closed contour of the pre-display image at the same position and the closed contour of the adjusted pre-display image as a region matching pair, calculating the gray difference mean value of the closed contour and surrounding adjacent closed contours in each region matching pair, acquiring the difference absolute value of the gray difference mean value between the region matching pairs, and taking the mean value of the difference absolute value as a contour region contrast difference value.
In the embodiment of the invention, a region growing algorithm is used for acquiring a pre-display image and adjusting a closed edge line in the pre-display image, namely a closed contour, acquiring a gray value of each pixel point in the closed contour, further acquiring a mean value of the gray values in each closed contour as a gray value of the closed contour, and calculating a gray difference mean value of 4 closed contours in front, back, left and right, adjacent to the closed contour and the surrounding.
The brightness of the pre-display image is adjusted, so that the originally clear area of the pre-display image may become blurred, and therefore, the formula for obtaining the contrast difference value R of the outline area through the gray level difference between the closed outline between the adjusted pre-display image and the pre-display image before adjustment in the embodiment of the invention is as follows:
wherein, T is the number of region matching pairs, namely the number of closed contours in the pre-display image or the number of closed contours in the pre-display image is adjusted; p is p l The gray level difference mean value of the first closed contour and 4 closed contours adjacent to the periphery in the pre-display image; p's' l To adjust the gray level difference mean value of the first closed contour and the 4 closed contours adjacent to the periphery in the pre-display image; wherein p is l And p' l Respectively two gray level difference average values in the region matching pair; i is an absolute function.
Note that, |p l -p′ l The larger the i, the larger the gray scale change of the closed contour between the pre-display image and the adjustment pre-display image, the more likely the pre-display image is adjusted to have abnormality, and the larger R is; p l -p′ l The smaller the i, the smaller the gray scale change of the closed contour between the pre-display image and the adjusted pre-display image, the more stable the adjustment of the pre-display image, the smaller R; thus, the smaller R, the better the adjustment of the pre-display image.
The region growing algorithm is a well-known technique, and will not be described in detail here.
And carrying out negative correlation mapping on the product of the gray level difference value and the contrast difference value of the contour area and normalizing the product to obtain a fifth result, calculating the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, subtracting the absolute value of the difference from the initial backlight adjustment value to obtain a sixth result, carrying out negative correlation mapping on the sum of the sixth result and a constant 1 and normalizing the product to obtain a seventh result, and taking the product of the contour difference value, the fifth result and the seventh result as an adjustment effect value. The formula for obtaining the adjustment effect value Y is as follows:
Y＝E*exp(-W*R)*exp(-|y′-|F-V|+1|)
wherein E is a contour difference value; w is a gray scale difference value; r is a contrast difference value of the contour region; f is the screen proper brightness; v is the average brightness of the first pixel point; y' is an initial backlight adjustment value; y is an adjustment effect value; exp is an exponential function based on a natural constant e; i is an absolute function.
It should be noted that, the larger E, the same number of edge lines between the pre-display image and the adjusted pre-display image, the more similar the shape, the better the adjustment of the pre-display image, and the larger Y; the smaller W is R, the smaller W is the smaller the pre-display image is adjusted to be the more practical the pre-display image is adjusted, the better the pre-display image is adjusted, the smaller R is the smaller the gray level change of the closed contour in the pre-display image and the adjusted pre-display image is, the smoother the adjustment of the pre-display image is, the better the adjustment of the pre-display image is, the larger the fifth result exp (-W is R) is, and the larger the Y is; the smaller the Y '- |F-V|+1|, the closer the sixth result Y' - |F-V| is to-1, the closer Y 'is to the difference between the screen proper brightness and the first pixel average brightness, and the larger the seventh result exp (- |y' - |F-V|+1|) is, the larger Y is; therefore, the larger Y is, the better the pre-display image adjustment effect is.
Setting an adjustment effect value threshold, and retaining an initial backlight adjustment value when the adjustment effect value is larger than the adjustment effect value threshold; when the adjustment effect value is smaller than or equal to the adjustment effect value threshold, the initial backlight adjustment value is increased according to a preset step length, and the adjustment effect value is obtained again until the adjustment effect value is larger than the adjustment effect value threshold, so that the first brightness adjustment value is obtained.
The embodiment of the invention sets the threshold value of the adjustment effect value to 0.7, and sets the preset step length to 1, namely when the adjustment effect value is larger than the threshold value of the adjustment effect value, the initial backlight adjustment value is kept unchanged, and the initial backlight adjustment value is the first brightness adjustment value; when the adjustment effect value is smaller than or equal to the adjustment effect value threshold, the initial backlight adjustment value is adjusted, the initial backlight adjustment value is gradually increased by a step length of 1 until the adjustment effect value is larger than the adjustment effect value threshold, and the initial backlight adjustment value corresponding to the adjustment effect value larger than the adjustment effect value threshold is used as the first brightness adjustment value. When the difference between the proper brightness of the screen and the average brightness of the first pixel points is a negative number, the whole screen brightness is reduced by utilizing the first brightness adjustment value, namely the whole screen brightness is subtracted by the first brightness adjustment value; when the difference between the suitable brightness of the screen and the average brightness of the first pixel points is a positive number, the whole screen brightness is enhanced by utilizing the first brightness adjustment value, namely the whole screen brightness is added with the first brightness adjustment value.
Step S3: increasing the first brightness adjustment value according to a preset coefficient to obtain a second brightness adjustment value; when the screen is touched, determining the area where the contact point is located, and adjusting the brightness of the area according to the second brightness adjusting value.
When the display screen is touched, a touch effect needs to be displayed in the screen to achieve an interaction effect with a touch person, so that when a user touches the display screen, a region of a touched contact position on the display screen is distinguished from other non-touched regions by a highlight region. According to the touch point area touched by a user and acquired by a sensor on a screen, the display brightness of the touch point area is increased to represent feedback, namely interaction with the user, and in the embodiment of the invention, the preset coefficient is set to be 30, the brightness of the pixel points of the touch point area is increased by 30, namely the gray value of the pixel points of the touch point area is increased by 30, and the preset coefficient of the pixel points of the touch point area can be automatically adjusted according to actual conditions.
On the basis of determining the first brightness adjustment value, determining a touched contact area, increasing the gray level value of the pixel point in the touched contact area by 30, and taking the result obtained by adding the preset coefficient of the touched contact area to the first brightness adjustment value as a second brightness adjustment value. The formula for obtaining the second brightness adjustment value D is:
D＝y+B
wherein y is a first brightness adjustment value; b is a preset coefficient; d is a second brightness adjustment value.
The larger y is, the larger the adjustment of the pre-display image is, and the larger D is; if the B value increases, the contact area needs to be touched, and the increase is performed.
And adjusting the screen brightness according to the second brightness adjustment value, converting the adjusted gray level image into a corresponding RGB image, and displaying on a display screen.
Thus, the embodiment of the invention is completed.
In summary, the pre-display image and the screen contact point position are obtained, and the average brightness of the first pixel point of the pre-display image is obtained; obtaining a pupil area of a portrait image, obtaining human eye comfort level according to the pupil area, and obtaining screen proper brightness according to the human eye comfort level; obtaining an adjusted pre-display image according to the initial backlight adjustment value; obtaining an adjustment effect value according to the gray level difference value, the contour area contrast difference value and the screen proper brightness between the adjustment pre-display image and the pre-display image, and obtaining a first brightness adjustment value according to the adjustment effect value; increasing the first brightness adjustment value according to a preset coefficient to obtain a second brightness adjustment value; when the screen is touched, the brightness of the area is adjusted according to the second brightness adjustment value. The invention ensures the accuracy of the display brightness of the screen through the accurate backlight control of the multi-electric shock liquid crystal screen.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (10)
1. The multi-contact liquid crystal display backlight control method is characterized by comprising the following steps of:
obtaining the contact positions of a pre-display image and a screen, and obtaining the average brightness of a first pixel point of the pre-display image; obtaining screen proper brightness, and judging whether backlight needs to be adjusted according to the difference between the screen proper brightness and the average brightness of the first pixel points; if the backlight needs to be adjusted, obtaining an adjusted pre-display image according to the initial backlight adjustment value;
obtaining an adjustment effect value according to the gray level difference value, the outline area contrast difference value and the screen proper brightness between the adjustment pre-display image and the pre-display image, and adjusting an initial backlight adjustment value according to the adjustment effect value to obtain a first brightness adjustment value; adjusting the screen brightness according to the first brightness adjustment value;
increasing the first brightness adjustment value according to a preset coefficient to obtain a second brightness adjustment value; when the screen is touched, determining the area where the contact point is located, and adjusting the brightness of the area where the contact point is located according to the second brightness adjustment value;
the method for acquiring the screen suitable brightness comprises the following steps: and acquiring a portrait image in front of a screen, acquiring a pupil area of the portrait image, acquiring human eye comfort level according to the size of the pupil area, and acquiring the proper brightness of the screen according to the human eye comfort level.
2. The method for controlling backlight of a multi-touch liquid crystal display according to claim 1, wherein the method for obtaining pupil areas of the portrait image comprises:
and carrying out semantic segmentation on the portrait image to obtain a human eye region, obtaining circular regions in the human eye region through a Hough circle detection algorithm, obtaining the radiuses of all the circular regions and the average gray value in the circle, multiplying the average gray value of each circular region by the radius to obtain an impossible value of which the corresponding circular region is a pupil, and obtaining the circular region corresponding to the smallest impossible value as the pupil region of the human eye region.
3. The method for controlling a multi-contact liquid crystal display backlight according to claim 2, wherein the method for obtaining the comfort level of human eyes according to the size of the pupil area comprises the following steps:
obtaining the pupil area, the human eye area and the brightness value of the previous frame screen, taking the difference value between a preset brightness reference value and the brightness value of the previous frame screen as a molecule, taking the ratio of the molecule to the preset brightness reference value as a first result, taking the sum of a constant 1 and the first result as a second result, and taking the product of the absolute value of the first result and the second result as a correction weight; and obtaining the ratio of the pupil area to the human eye area, and taking the product of the correction weight and the ratio as the human eye comfort level.
4. The method for controlling backlight of a multi-touch liquid crystal display according to claim 1, wherein the method for obtaining the gray scale difference value comprises the steps of:
taking the pixel points in the pre-display image as first pixel points, adjusting the pixel points in the pre-display image as second pixel points, taking the first pixel points and the second pixel points in the same position as a pixel point matching pair, calculating the gray difference between each pixel point in the pixel point matching pair and each neighborhood pixel point in a preset neighborhood range, and obtaining the gray difference average value of each pixel point in the preset neighborhood; and calculating the absolute value of the difference value of the preset neighborhood gray difference mean value between each pixel point matching pair, and taking the sum of the absolute value of the difference value as a gray difference value.
5. The method for controlling backlight of a multi-contact liquid crystal display according to claim 1, wherein the method for obtaining the profile difference value comprises the steps of:
obtaining edge lines in the pre-display image and the adjustment pre-display image through edge detection, obtaining edge line quantity difference between the pre-display image and the adjustment pre-display image, and carrying out negative correlation mapping on the sum of the edge line quantity difference and a constant 1 and normalizing the obtained result to obtain a third result; and taking the edge line of the pre-display image at the same position and the edge line of the adjustment pre-display image as a contour matching pair, obtaining an average value of similarity values of the edge lines in the contour matching pair, and taking the product of a third result and the average value of the similarity values of the edge lines as a contour difference value.
6. The method for controlling backlight of a multi-contact liquid crystal display according to claim 5, wherein the method for obtaining the contrast difference value of the outline area comprises the steps of:
acquiring a closed edge line, namely a closed contour, in the pre-display image and the adjustment pre-display image, taking the closed contour of the pre-display image and the closed contour of the adjustment pre-display image at the same position as an area matching pair, calculating the gray difference mean value of the closed contour in each area matching pair and the surrounding adjacent closed contour, acquiring the difference absolute value of the gray difference mean value between the area matching pairs, and taking the mean value of the difference absolute values as a contour area contrast difference value.
7. The method for controlling backlight of a multi-contact liquid crystal display according to claim 1, wherein the method for obtaining the adjustment effect value comprises the steps of:
and carrying out negative correlation mapping on the product of the gray level difference value and the contrast difference value of the contour area and normalizing the product to obtain a fifth result, calculating the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, subtracting the absolute value of the difference from the initial backlight adjustment value to obtain a sixth result, carrying out negative correlation mapping on the sum of the sixth result and a constant 1 and normalizing the product to obtain a seventh result, and taking the product of the contour difference value, the fifth result and the seventh result as an adjustment effect value.
8. The method for controlling a multi-touch liquid crystal display backlight according to claim 1, wherein the method for obtaining the first brightness adjustment value according to the adjustment effect value comprises:
setting an adjustment effect value threshold, and retaining an initial backlight adjustment value when the adjustment effect value is larger than the adjustment effect value threshold; when the adjustment effect value is smaller than or equal to the adjustment effect value threshold, the initial backlight adjustment value is increased according to a preset step length, and the adjustment effect value is obtained again until the adjustment effect value is larger than the adjustment effect value threshold, so that the first brightness adjustment value is obtained.
9. The method for controlling backlight of a multi-touch liquid crystal display according to claim 1, wherein the method for determining whether backlight adjustment is required according to the difference between the suitable brightness of the screen and the average brightness of the first pixel point comprises:
and obtaining the absolute value of the difference between the proper brightness of the screen and the average brightness of the first pixel point, setting a difference threshold value, and when the absolute value of the difference value is larger than the difference threshold value, adjusting the backlight.
10. The method for controlling a multi-touch liquid crystal display backlight according to claim 1, wherein said method for obtaining said screen suitable brightness according to said human eye comfort level comprises:
and inputting the human eye comfort level into a fitting model which is fitted in advance, and outputting the screen with proper brightness.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211722188.1A CN116153267B (en) | 2022-12-30 | 2022-12-30 | Backlight control method for multi-contact liquid crystal display |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211722188.1A CN116153267B (en) | 2022-12-30 | 2022-12-30 | Backlight control method for multi-contact liquid crystal display |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116153267A true CN116153267A (en) | 2023-05-23 |
| CN116153267B CN116153267B (en) | 2024-05-31 |
Family
ID=86350052
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211722188.1A Active CN116153267B (en) | 2022-12-30 | 2022-12-30 | Backlight control method for multi-contact liquid crystal display |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116153267B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070222730A1 (en) * | 2006-03-24 | 2007-09-27 | Marketech International Corp. | Method to automatically regulate brightness of liquid crystal displays |
| CN101751878A (en) * | 2008-12-10 | 2010-06-23 | 比亚迪股份有限公司 | Method, device and system for adjusting display contrast of LCD screen |
| US20120169789A1 (en) * | 2009-09-11 | 2012-07-05 | Takahiko Origuchi | Method for driving plasma display panel and plasma display device |
| US20120287172A1 (en) * | 2011-05-10 | 2012-11-15 | Yu-Ju Lin | Method for adjusting a backlight of a display device and device thereof |
| JP2014150401A (en) * | 2013-01-31 | 2014-08-21 | Nikon Corp | Display apparatus and program |
| CN104715736A (en) * | 2013-12-16 | 2015-06-17 | 炬芯（珠海）科技有限公司 | Backlight automatic adjusting method and device for electronic device |
| CN105472228A (en) * | 2014-06-27 | 2016-04-06 | 小米科技有限责任公司 | Image processing method, image processing device and terminal |
| CN105654496A (en) * | 2016-01-08 | 2016-06-08 | 华北理工大学 | Visual characteristic-based bionic adaptive fuzzy edge detection method |
| CN108921770A (en) * | 2018-07-13 | 2018-11-30 | 合肥信亚达智能科技有限公司 | A kind of sub-image boundary improved method based on edge detection error diffusion algorithm |
| CN111145151A (en) * | 2019-12-23 | 2020-05-12 | 维沃移动通信有限公司 | Motion area determination method and electronic equipment |
| CN114816065A (en) * | 2022-04-28 | 2022-07-29 | 歌尔股份有限公司 | Screen backlight adjusting method, virtual reality device and readable storage medium |
-
2022
- 2022-12-30 CN CN202211722188.1A patent/CN116153267B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070222730A1 (en) * | 2006-03-24 | 2007-09-27 | Marketech International Corp. | Method to automatically regulate brightness of liquid crystal displays |
| CN101751878A (en) * | 2008-12-10 | 2010-06-23 | 比亚迪股份有限公司 | Method, device and system for adjusting display contrast of LCD screen |
| US20120169789A1 (en) * | 2009-09-11 | 2012-07-05 | Takahiko Origuchi | Method for driving plasma display panel and plasma display device |
| US20120287172A1 (en) * | 2011-05-10 | 2012-11-15 | Yu-Ju Lin | Method for adjusting a backlight of a display device and device thereof |
| JP2014150401A (en) * | 2013-01-31 | 2014-08-21 | Nikon Corp | Display apparatus and program |
| CN104715736A (en) * | 2013-12-16 | 2015-06-17 | 炬芯（珠海）科技有限公司 | Backlight automatic adjusting method and device for electronic device |
| CN105472228A (en) * | 2014-06-27 | 2016-04-06 | 小米科技有限责任公司 | Image processing method, image processing device and terminal |
| CN105654496A (en) * | 2016-01-08 | 2016-06-08 | 华北理工大学 | Visual characteristic-based bionic adaptive fuzzy edge detection method |
| CN108921770A (en) * | 2018-07-13 | 2018-11-30 | 合肥信亚达智能科技有限公司 | A kind of sub-image boundary improved method based on edge detection error diffusion algorithm |
| CN111145151A (en) * | 2019-12-23 | 2020-05-12 | 维沃移动通信有限公司 | Motion area determination method and electronic equipment |
| CN114816065A (en) * | 2022-04-28 | 2022-07-29 | 歌尔股份有限公司 | Screen backlight adjusting method, virtual reality device and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116153267B (en) | 2024-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11467661B2 (en) | Gaze-point determining method, contrast adjusting method, and contrast adjusting apparatus, virtual reality device and storage medium | |
| WO2021004138A1 (en) | Screen display method, terminal device, and storage medium | |
| Gao et al. | A fast image dehazing algorithm based on negative correction | |
| CN105513019B (en) | A kind of method and apparatus promoting picture quality | |
| CN110570360B (en) | Retinex-based robust and comprehensive low-quality illumination image enhancement method | |
| US20160110846A1 (en) | Automatic display image enhancement based on user's visual perception model | |
| CN112767392B (en) | Image definition determining method, device, equipment and storage medium | |
| CN109147005A (en) | It is a kind of for the adaptive colouring method of infrared image, system, storage medium, terminal | |
| CN107220950A (en) | A kind of Underwater Target Detection image enchancing method of adaptive dark channel prior | |
| WO2022100510A1 (en) | Image distortion evaluation method and apparatus, and computer device | |
| CN104246865A (en) | Gray-level correction method, threshold determination device for epsilon-filter, and method therefor | |
| KR102046220B1 (en) | Apparatus and method for display visibility enhancement | |
| CN107203980B (en) | Underwater target detection image enhancement method of self-adaptive multi-scale dark channel prior | |
| CN110175969B (en) | Image processing method and image processing apparatus | |
| CN103208107B (en) | The restorative procedure of terminal, image and device | |
| CN110473152A (en) | Based on the image enchancing method for improving Retinex algorithm | |
| CN116153267B (en) | Backlight control method for multi-contact liquid crystal display | |
| CN107369157A (en) | A kind of adaptive threshold Otsu image segmentation method and device | |
| US20080075378A1 (en) | Method and apparatus for informing user of image recognition error in imaging system | |
| CN108735165B (en) | Ink screen backlight system and adjusting method thereof | |
| CN117611501A (en) | Low-illumination image enhancement method, device, equipment and readable storage medium | |
| US20150029204A1 (en) | Dynamic localized contrast enhancement method for image and computer readable medium of the same | |
| CN116682385A (en) | Display backlight control system capable of monitoring pictures for display | |
| CN111311514B (en) | Image processing method and image processing apparatus for medical endoscope | |
| CN103810985A (en) | Electronic device and method for enhancing readability of an image thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240430 Address after: Room 401, 4th Floor, Building 7, No. 988 Xinxing Second Road, Zhongdai Street, Pinghu City, Jiaxing City, Zhejiang Province, 314200 Applicant after: Jiaxing Meiyin Intelligent Electronics Co.,Ltd. Country or region after: China Address before: 314200 No. 5, floor 4, building 7, No. 988, Xinxing Second Road, Pinghu Economic and Technological Development Zone, Jiaxing City, Zhejiang Province Applicant before: PINGHU BEWATEC KOMMUNI ELECTRONIC TECHNOLOGY Co.,Ltd. Country or region before: China |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |