384 results about "Pixel brightness" patented technology

The invention relates to the technical field of intelligent control, in particular to a self-adaptive camera pose intelligent adjusting system which comprises a dynamic recognition module, a pose adjusting module, a mechanism control module, an information filtering module and a feedback association module. According to the method, the foreground pixel brightness gradient and the boundary continuity in the image frame are extracted, the target displacement path can be recognized, the tracking information is constructed, the target coherent perception under rapid scene change is guaranteed, the attitude parameters and the target motion direction and speed are combined, the offset correction instruction is generated, the response stability of the dynamic target is improved, and the target tracking accuracy is improved. The execution structure feedback is used for correcting control output, reducing the driving error accumulation risk, eliminating non-target disturbance through image boundary definition and motion consistency, improving data purity and combining a view angle execution state and path information to realize synchronous control of tracking and view angle adjustment; and the response efficiency and the following robustness of the system in a dynamic environment are enhanced.

The invention provides an aluminum film sealing defect real-time detection method and system based on multi-algorithm fusion, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: triggering an industrial camera at a detection station to collect an original image of a pesticide aluminum film sealing on a conveyor belt; performing adaptive equalization operation on the original image through pixel brightness distribution data, eliminating light fluctuation and surface reflection interference, and outputting a standardized image; three types of defect detection are synchronously executed based on the standardized image, a dynamic threshold segmentation algorithm is combined with local area brightness analysis to detect edge damage, a contour extraction algorithm is adopted to calculate bottleneck center offset to recognize seal offset, wrinkle defects are recognized based on a surface texture feature analysis algorithm, and a primary detection result is output. The aluminum film sealing defect detection method is based on multi-algorithm fusion, has strong anti-interference capability, real-time detection performance and data traceability, and provides an efficient and reliable automatic solution for aluminum film sealing quality management and control.

The invention relates to the technical field of display screen defect detection, and discloses a mobile phone display screen defect detection method, device and equipment and a storage medium, and the method comprises the steps: collecting display images of a to-be-detected mobile phone display screen at a plurality of observation angles; the reflection intensity distribution of the display image is analyzed by using polarization optical characteristics, and a de-reflection image is generated after surface reflection components are separated; transforming the pixel brightness of each observation angle in the de-reflection image to a unified reference viewpoint to obtain a unified reference viewpoint image, and extracting a first defect feature vector of each pixel in the unified reference viewpoint image; and fusing the first defect feature vectors extracted from multiple observation angles to obtain a second defect feature vector, comparing the second defect feature vector with a preset threshold, and outputting a defect detection report. According to the application, multi-angle information advantages are utilized, and a defect classification mechanism based on RGB channel response differences is established; and various defect types of bright spots, dark spots, color cast and line defects can be accurately distinguished.

The invention relates to the technical field of energy-saving control, in particular to a liquid crystal display energy-saving control method and system, and the method comprises the following steps: obtaining the pixel brightness change times in continuous frames, judging a hopping region, reading the frequency difference value of adjacent regions, sorting and merging, recognizing the lower brightness of a heating region, and detecting voltage fluctuation to mark a locking period. And freezing the interval rearrangement brightness output structure, and generating an energy-saving control layout. According to the invention, through statistics of pixel brightness jump times and ratio determination, a high-fluctuation area is accurately identified, brightness frequency difference sorting and area fusion are combined to improve regulation and control continuity, temperature change trend determination is introduced to realize brightness down-regulation of a heating area, and a voltage jump amplitude sequence is utilized to analyze and lock a power supply stable period. The method is advantaged in that adjustment errors in an unstable state are avoided, a brightness output sequence is rearranged in a freezing period, rhythm consistency and energy efficiency collaboration of brightness control are maintained, and accuracy, stability and multi-dimensional adaptability of energy-saving regulation and control are enhanced.

The invention relates to the technical field of computer vision, in particular to an AI-based video content analysis system, which comprises a video stream acquisition and detection module, a background interference analysis and filtering module, a target movement track calculation module, a visual angle conversion and track compensation module and an abnormal behavior analysis module. According to the method, the pixel brightness values of continuous frames are extracted, the foreground region recognition accuracy is improved, the brightness change trend is screened to accurately lock a dynamic target, the background change rate is analyzed, similar regions are removed, interference is reduced, and the target edge feature and inter-frame position change are extracted to perform fine-grained trajectory tracking. And track prediction is optimized in combination with the view angle switching time, track changes and speed changes are recorded, the stability and accuracy of the moving target under multiple view angles are improved, abnormal change modes are classified and analyzed, abnormal events are effectively captured, background interference is reduced, and the target detection precision and the abnormal behavior analysis response speed are improved.

The invention relates to the technical field of automatic control, in particular to a detection equipment attitude real-time correction system which comprises an attitude trajectory extraction module, a trajectory stability evaluation module, an interference area recognition module, a light spot trajectory reconstruction module and an attitude correction control module. According to the invention, through comprehensive extraction of the direction change trend, the angle difference and the trajectory overlapping condition in the light spot image sequence, the trajectory trend of the attitude change between continuous frames is established, so that the identification of the attitude offset evolution process is more detailed, the attitude change stability analysis is realized in the time sequence dimension, and the accuracy of the attitude change is improved. Interference area identification is carried out by means of luminance continuity and spatial distribution consistency of light-emitting pixels, real light spots and lagging residual signals can be effectively distinguished, a light spot track path is reconstructed on the basis of interference removal, and real-time calculation of a track dynamic offset direction and an angle change amplitude is combined with track correction rule setting, so that the accuracy of track correction is improved. And the specific correction action matching of the deviation state is realized.

The invention relates to an image processing method suitable for a variable-size TFT display screen, and the method comprises the following steps: obtaining the size and range of a display region of the TFT display screen in real time, and obtaining the position coordinate range of an edge region of an optical alignment film; detecting the pixel brightness in the coordinate range of the corresponding position of the edge area of the optical alignment film by adopting an image processing method; calculating to obtain compensation curve correction parameters by combining factors influencing the brightness distribution of the edge area; correcting the pixel brightness of the edge area of the optical alignment film by adopting the compensated brightness distribution curve; after the pixel brightness compensation of the edge area is completed, obtaining a change value of the display contrast before and after the compensation; and the compensation curve parameters of the edge region are adjusted in real time by analyzing the relationship between the change value of the display contrast and the pixel brightness compensation intensity. The brightness uniformity of the edge area of the TFT display screen can be effectively improved, the overall display quality is improved, the requirements of display screens of different sizes can be met, and high practicability and adaptability are achieved.

The invention discloses a brightness compensation method and device, a storage medium and electronic equipment, and the method comprises the steps: shooting an initial MURA distribution image of a display screen; identifying and classifying the initial MURA distribution image by using an image classification model to obtain a classification result; according to a classification result, configuring corresponding optimal shooting parameters, performing at least one exposure acquisition on the display screen, and obtaining an image set containing one or more exposure images; based on a classification result, fusing the image set to generate a target brightness image; comparing the target brightness image with the theoretical brightness image to generate a pixel brightness deviation graph; and finally, selecting a corresponding optimal compensation parameter set according to a classification result, and performing brightness compensation on the display screen based on the compensation parameter set and the pixel brightness deviation graph. According to the embodiment of the invention, the problem of non-uniform pixel brightness of different screen bodies caused by manufacturing process fluctuation can be solved.

The invention relates to the field of image processing, in particular to an industrial feeding anomaly recognition method based on visual flow detection, and the method comprises the steps: obtaining an image sequence for optical flow calculation through the collection and preprocessing of an image sequence of an industrial feeding port; performing nonlinear fusion on the pixel brightness value and the time brightness change rate to obtain a highlight suppression factor; carrying out distribution analysis on the local gradient structure tensor characteristic value to obtain a gradient structure confidence factor; performing joint weighting on the highlight suppression factor and the gradient structure confidence factor to obtain a dynamic space-time confidence weight; weighted optical flow calculation and variance threshold judgment are carried out on the dynamic space-time confidence coefficient weight, a feeding abnormal state recognition result is obtained, and therefore the problems of optical flow calculation distortion and abnormal misinformation caused by mirror surface highlight in the SMT micro component feeding process are solved.

To obtain a practical yet versatile and accurate apparatus for luminance re-grading (300) of an input high dynamic range image (IM_HDR) of first luminance dynamic range into a second image (IM_DR2) of second luminance dynamic range, the inventors propose the apparatus for luminance re-grading (300) of an input high dynamic range image (IM_HDR) of first luminance dynamic range into a second image (IM_DR2) of second luminance dynamic range, wherein a maximum luminance of the second image may be higher or lower than a maximum luminance of the input high dynamic range image, the apparatus comprising:—a first neural network processing circuit (301), having as input a set of pixel luminances of the input high dynamic range image (IM_HDR), wherein the first neural network processing circuit has at least two sets of outputs (S1, S2), wherein the sets of outputs have output nodes for supplying parameter values of a parametric re-grading equation, wherein the parametric re-grading equation is composed of at least two partial functions an amount of which in the re-grading equation being controlled by at least two corresponding output parameter values (P11, P21); wherein a first output set (S1) comprises at least two parameter values (P11, P21) which determine a first shape of the re-grading function, and a second output set (S2) comprises at least two corresponding parameter values (P12, P22) which determine an alternative second shape of the re-grading function, which being determined by the same parametric definition but using different values for its parameters gets a different shape;—a second neural network processing circuit (302), which has as input at least one measurement value (La) from at least one sensor (311), and as output nodes supplying a set of weights corresponding in amount to at least the number of sets of outputs of the first neural network processing circuit;—a combiner (303), arranged to add a first parameter value (P11) of the first output set of the first neural network processing circuit multiplied by a corresponding first weight (w11) from the second neural network processing circuit, to a corresponding parameter value (P12) for the same re-grading function defining parameter of the second output set of the first neural network processing circuit multiplied by a corresponding second weight (w12) from the second neural network processing circuit, yielding a final parameter value (P1_f); and—a luma mapping circuit (320) arranged to map input lumas of the input high dynamic range image (IM_HDR) with a luma mapping function (F_L) which is defined by at least two parameters comprising the final parameter value (P1_f) to obtain output lumas of the second image (IM_DR2).

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

The invention relates to the field of image processing, and provides a test method and device, a chip and a storage medium, and the method comprises the steps: obtaining first image data with at least one column of sub-pixels as a test column; wherein the brightness of the sub-pixels in the test column is different from the brightness of the sub-pixels in the non-test column; obtaining a target vertical resolution; generating second image data with the same target vertical resolution according to the first image data; wherein the number and the column number of the test columns in the second image data are the same as those of the first image data; and outputting the second image data to a display screen for displaying. According to the method, the first image data can be directly received, the second image data is generated and displayed on the display screen, a test chart and an external test box do not need to be manually generated to test the display screen, and the test time and the test cost are saved.

Method for altering pixel brightness values in a digital image includes identifying a measured brightness value of each of the plurality of pixels; determining a location of the plurality of pixels corresponding to an artificial object in the digital image based on the measured brightness value of each of the plurality of pixels; and adjusting the measured brightness value of each of the pixels at the location of the plurality of pixels corresponding to the artificial object in the digital image to a predetermined brightness value. Method for altering pixel tone values in a digital image includes calculating a tone conversion configured to suppress a tone of the artificial object in the digital image; applying the tone conversion to each of the pixels at the location of the plurality of pixels corresponding to the artificial object in the digital image.

The invention discloses a display panel correction method and device, and the method comprises the steps: carrying out the brightness correction of every two adjacent regions, and the brightness correction of the edge region of one region comprises the steps: calculating the brightness mean value of the adjacent boundaries of the two adjacent regions; applying the brightness mean value to a corresponding pixel of the edge region, and determining a corrected boundary region corresponding to the edge region; determining a correction divergence field based on the divergence of the edge region and the divergence of the correction boundary region; and determining the pixel brightness of the corrected edge region based on the corrected divergence field. According to the method, the brightness of the edge areas of the adjacent areas is corrected based on divergence correction, so that splicing gaps can be remarkably reduced or completely eliminated when multi-area splicing or multi-display panel splicing is carried out, the overall display uniformity of the display panel is improved, and a spliced picture looks smoother and more uniform.

A display device includes, a backlight device, and a backlight control circuit. The backlight device includes a plurality of light sources configured to illuminate a display panel. The backlight control circuit is configured to apply a filter to a target part of the input image to generate a filtered image part. The target part of the input image is displayed in a corresponding region of the display panel illuminated by a target light source of the plurality of light sources. The backlight control circuit is further configured to control a luminance level of the target light source based on a maximum pixel luminance level of the filtered image part and a local average picture level (APL) of the filtered image part.

The invention relates to a laser point cloud indoor mapping and merging method based on multilayer direct optimization, and belongs to the technical field of robot vision. The method mainly comprises the following steps: filtering ground information; fragmenting the point cloud sequence based on VFH comparison; estimating a point cloud motion state based on a multilayer direct method; and map establishment and fragment combination. The method does not need to depend on an additional sensor, firstly, invalid ground point cloud information is filtered out, and the quality of point cloud data is effectively improved; then dividing the long point cloud sequence into a plurality of segments based on a VFH comparison algorithm to intermittently return accumulation drift to zero, thereby ensuring the accuracy and stability of mapping; when NDT registration and nonlinear optimization are executed in each segment, a multi-layer direct method is selected to correct a state estimation value based on inter-frame pixel brightness information, a complex point cloud local feature extraction and matching process is avoided, the complexity of an algorithm is greatly reduced, and good real-time performance is shown while high-precision mapping is kept.

The embodiment of the invention discloses a brightness compensation method and device, display equipment, a storage medium, a chip and a product, and belongs to the technical field of image processing. Under the condition that a first DBV indicated by the brightness setting instruction does not belong to the target DBV, a first pixel brightness value corresponding to the first DBV is determined based on the first DBV and a brightness mapping table, the target DBV is the DBV with the determined brightness compensation information, and the first pixel brightness value is the brightness value of the pixel point when the DBV of the display device is set to be the first DBV and the gray-scale value is the maximum gray-scale value; for any pixel point in the current display picture, a second pixel brightness value is determined based on the first pixel brightness value and the first pixel value of the pixel point, and the second pixel brightness value is the brightness value of the pixel point when the DBV of the display device is set to be the first DBV and the gray-scale value is the first gray-scale value of the pixel point; and performing brightness compensation on the pixel point based on the second pixel brightness value and brightness compensation information corresponding to the target DBV.

The invention relates to the technical field of intelligent path planning of a mowing robot based on visual identification, and discloses an intelligent path planning method of a mowing robot based on visual identification. A two-dimensional image of a mowing area is obtained through a fixed camera device, a pixel brightness matrix is generated, accurate collection of environment information is achieved, the corresponding relation between image vertexes and actual plane coordinates is established, mapping between the image and a physical space is completed through the single-pixel physical length, and the problem of coordinate deviation between the image and an actual area is solved. The image is divided into non-overlapped complete blocks, so that boundary blur is avoided. And each block generates a unique visual code by counting a pixel brightness mean value and a difference square root and combining a fixed separation coefficient 128, so that the visual identification stability is enhanced. The block center is converted into the actual physical coordinate through the center coordinate mapping function, space positioning is achieved, and the accuracy and stability of intelligent planning of the mowing path are improved.

The invention relates to the technical field of image enhancement, in particular to a dark field detail dynamic enhancement method and system for an LED backlight source, and the method comprises the following steps: setting a brightness threshold T1 and a brightness threshold T2 according to the brightness component of an input image frame, the dynamic backlight range of the associated LED backlight source and a gamma curve; according to the method, the pixel brightness is subjected to fine-grained division through partition judgment of the brightness component of the input image frame, so that more accurate dark field area positioning is realized, and the local linear transformation coefficient is constructed for the dark field mask area by using the original brightness component, so that the subsequent enhancement operation has continuity and edge retention characteristics; and adaptive classification of the image content is realized through a structure complexity threshold value, then differential enhancement strategies such as multi-direction texture enhancement, normal direction sharpening and curved surface smoothing are extracted respectively, and gain distribution conforming to different region characteristics is established, so that the dark field detail identification granularity is higher.

The invention provides a low-gray-scale image imaging defect visual detection method and system for an OLED display screen. The method comprises the following steps: aiming at original image data of a display screen, extracting a gray scale picture with a pixel brightness mean value lower than a preset brightness threshold value as a first image, carrying out color characteristic analysis on the first image, and generating a second image marked with a chromaticity feature vector; identifying the chromaticity feature vector according to the second image, generating a feature vector matrix for representing chromaticity distribution of each pixel in the second image, and performing color jump analysis through the feature vector matrix to obtain a third image; extracting a jump region in the third image, and setting marks for distinguishing different dispersion distribution for chromaticity distribution dispersion distribution according to the jump region to obtain a fourth image; and identifying dispersion distribution according to the fourth image, combining with a chromaticity abnormal pixel region in the hopping region, performing pixel classification in the hopping region, and setting defect marks for pixels with imaging defects represented by a classification result to obtain a fifth image.

Systems, apparatus, and methods for post-processing video e.g. frame denoising. Noise reduction techniques may be employed to improve the quality of digital video. Frames may be extracted from a video. Synthetic frames may be created using motion data between the extracted frames. Synthetic frames may be masked to exclude pixels from the composite frame. Thresholds used in masking may vary based on the temporal distance of the extracted frame used to create the synthetic frame and the extracted frame. Masking may be based on frame differences between extracted and synthetic frames (e.g., sub-pixel / luminance differences), areas of lower quality motion data (e.g., occlusions), or edge detection in the extracted frames. Synthetic and extracted frames may be composited generating frames having less noise. The composited frame may be based on averaging pixel values across the synthetic and extracted frames. Composited frames may be compiled and encoded into denoised video.

The invention relates to the technical field of AMOLED display driving, and discloses an AMOLED display driving chip integrated system with high refresh rate and low power consumption. The system comprises a pixel flow time sequence analysis module, a dynamic compensation model construction module, a refresh rate adaptive modulation module and a power consumption constraint optimization module. A pixel stream time sequence analysis module captures video source frame cache data in real time, and extracts a pixel brightness distribution matrix and an inter-frame change gradient; a dynamic compensation model building module builds a dynamic voltage compensation network according to the current frame and historical frame information, and fuses the current frame and historical frame information through a space-time attention mechanism; the refresh rate adaptive modulation module generates a decision diagram according to the inter-frame change gradient, and regulates the refresh rate in different regions; and the power consumption constraint optimization module is combined with a chip junction temperature parameter to generate a partition backlight current constraint coefficient matrix. The system can optimize display image quality and fluency, realizes power consumption fine control, guarantees stable operation of a chip, and is suitable for various AMOLED display terminals.

The invention relates to the technical field of image analysis, in particular to a spooling color tube detection method and system based on image analysis, and the method comprises the following steps: carrying out the statistics of color component intensity distribution based on a captured bobbin yarn conveying track image of a spooling machine, comparing the difference with a standard illumination color image, and carrying out the proportion adjustment of color components; and obtaining an illumination color correction image. In the invention, by separating and adjusting three color components of red, green and blue in the image, eliminating the influence of illumination conditions, and by calculating the pixel brightness gradient value and correcting the shadow area, the shadow interference in the image is reduced, the track background and the yarn area are accurately distinguished, and the color deviation and uniformity of the ring bobbin are accurately evaluated; and the color deviation tolerance threshold is dynamically adjusted according to the statistical result, so that the flexibility and accuracy of color anomaly detection are improved, and the recognition efficiency and the quality control capability of color anomaly are improved.

The invention belongs to the field of display, and particularly relates to a driving module and a display device.The driving module comprises a data driving unit, selecting units, a polarity partition detecting unit, a voltage adjusting unit and an input control unit, and the selecting units comprise the first selecting unit and the second selecting unit; the first selection unit is connected with the first signal line through a first branch line and a second branch line, the second selection unit is connected with the second signal line through a third branch line and a fourth branch line, the at least one voltage regulation unit is arranged on the fourth branch line, and the input control unit is connected with the polarity partition detection unit. In a polarity symmetry mode, the first branch line and the fourth branch line form a group, the second branch line and the third branch line form a group, and data voltage is alternately output line by line. As the fourth branch line outputs the lowered data voltage, the brightness of the green sub-pixel controlled by the data line connected with the fourth branch line is reduced, the color cast can be improved or eliminated, and the display image quality of the display panel is improved.

The invention relates to the field of image recognition, discloses an image recognition method and an image recognition system, and systematically solves the core pain point of traditional document recognition through optical-topology fusion processing and a dynamic resource allocation mechanism. The image recognition method is composed of an acquisition module, a grid module, a phase module, a setting module and a distribution module, pixel brightness is calculated and coded based on document RGB data, and a two-dimensional coding matrix is generated; constructing a geometric correction grid, forming a nonlinear constraint field, and enhancing the anti-deformation capability of the image; generating spiral phase light waves in the constraint field by using a spatial light modulator, and generating a time-varying phase map; determining a local topology index by detecting the number of phase jump times; and extracting the closed boundary region as a character block, and generating an analysis result file. The system breaks through traditional limitation, improves image geometric correction precision, feature extraction sensitivity and boundary judgment accuracy, efficiently completes document analysis, and is suitable for scenes such as document digitization and information retrieval.

The invention discloses a brightness compensation method and device of a display panel and electronic equipment. The compensation method comprises the steps of determining a target source electrode driving circuit used for driving a target sub-pixel according to a first lookup table under the condition that a polarity flip compensation (POLC) function is started; determining the target pixel polarity of the target sub-pixel according to the second lookup table or the third lookup table; the second lookup table comprises a mapping relation between the sub-pixels in the driving boundary area and the pixel polarity; the third lookup table comprises a mapping relation between sub-pixels in a non-driving boundary area and the polarity of the pixels; and under the condition that the polarity of the sub-pixel in the driving range corresponding to the target source driving circuit needs to be overturned, adjusting a gray scale compensation value corresponding to the polarity of the target pixel, and obtaining a first target gray scale compensation value for compensating the brightness of the target sub-pixel. In this way, a flicker elimination (VDF) function and a POLC function using a variable refresh rate can be well compatible for use.

The invention relates to the technical field of image calibration, in particular to a layered grating image auxiliary calibration system, which comprises a brightness intersection point screening module, a node synchronous correction module, a reference difference extraction module, a spatial offset distribution module and a template link updating module. According to the invention, through directly extracting change characteristics of pixel brightness, deep screening of image structure information, real-time pairing and synchronous compensation of space nodes after acquisition, dynamic capturing and detailed comparison of space states between grid reference points are realized, and a system automatically distributes space errors to each grid point position. The parameter linkage compensation keeps the overall space coordination among lattice points, template data are reconstructed in real time and are subjected to chain mapping, the space data are continuously synchronized in the calibration process, the space parameter correction keeps high adaptability under noise disturbance, and continuous dynamic response can be realized by adapting to a multi-scene environment. And the calibration stability and the data chain integrity under different illumination, shielding and non-ideal conditions are enhanced.

The invention discloses an image fusion enhancement method for a multi-signal-source liquid crystal splicing screen, and relates to the technical field of large-screen display control, and the method comprises the steps: building a virtual coordinate system taking a physical gap as a reference at an input end, carrying out the decoding, time synchronization and unified mapping of a multi-source heterogeneous signal, converting the multi-source heterogeneous signal into a unified color space, and carrying out the image fusion enhancement of the multi-signal-source liquid crystal splicing screen. The display consistency of different signal sources is ensured; then, a compensation model based on a brightness attenuation function is introduced into the splicing boundary area, edge pixel brightness is subjected to self-adaptive correction, and brightness unevenness caused by physical gaps is relieved; calculating the content complexity based on the row-level gradient magnitude in the fusion screen area, dynamically constructing a content-sensitive fusion weight, and carrying out weighted fusion on the images on the two sides to generate a transition image frame; and through joint output of the transition image frame and the original side image frame, visual seamless connection of the splicing gap area is realized. Therefore, the integral continuity and visual experience of tiled display are effectively improved while the image detail fidelity is ensured.

An autostereoscopic display apparatus includes an array of display pixels arranged in rows and columns; an array of elongated optical elements extending parallel to one another and overlying the display pixels, wherein the optical elements are slanted at an angle relative to the columns of display pixels; for any given display pixel, an optimized brightness is determined based on the distance between the pixel and the nearest end of a boundary separating adjacent images. By adjusting pixel brightness, the apparatus effectively reduces image crosstalk, thereby enhancing the clarity and quality of autostereoscopic displays.

This application relates to image processing and provides a method and electronic device. The method includes: capturing a to-be-displayed image; detecting a display operation on the image; obtaining brightness channel data in response; acquiring a pixel brightness value based on the channel data; determining a target brightness value based on a current screen brightness and a first brightness value; selecting a first or second gain coefficient according to the pixel brightness value to process the pixel and generate a processed image; and adjusting the display screen to the target brightness value to display the processed image. This solution avoids image brightness distortion and expands the dynamic range, making the displayed image more vivid and closer to actual scenarios.