130 results about "Defective pixel" patented technology

The invention provides a Mini led display screen dead pixel detection and positioning method, device and system based on deep learning, and the method comprises the steps: applying a preset driving signal sequence to a pixel array of a Mini led display screen line by line, obtaining the brightness feedback data of each pixel in different driving stages, obtaining a brightness response sequence, and carrying out the detection and positioning of the dead pixel of the Mini led display screen. Carrying out spatial recombination processing on the brightness response sequence according to a physical arrangement structure of the pixel array to generate a brightness response matrix, carrying out local region feature difference analysis on the brightness response matrix, identifying a brightness response abnormal region, generating a candidate dead pixel position set, and obtaining a candidate dead pixel position set; and calling a pre-trained dead pixel recognition network to carry out feature learning processing on the candidate dead pixel position set, outputting a dead pixel probability corresponding to each candidate dead pixel position, screening the candidate dead pixel position set based on the candidate dead pixel probability, removing candidate positions with the dead pixel probability lower than a preset condition, and generating a dead pixel positioning result set. According to the invention, the accuracy and reliability of detecting and positioning the defective pixels of the Mini LED display screen can be effectively improved.

The invention relates to the technical field of dead pixel detection and compensation of a digital light processing projection system, in particular to a DLP dead pixel calibration and compensation method and system based on a Transform attention mechanism. According to the DLP dead pixel calibration and compensation method based on the Transform attention mechanism, a multi-scale feature pyramid is constructed, global features are extracted by using a layered multi-mode Transform encoder, and a dead pixel confidence coefficient heat map is generated in combination with a dynamic sparse mask multi-head attention mechanism; dynamically selecting compensation strategies for different types of dead pixels by adopting a dead pixel type-scene demand dual-drive time-space domain compensation pipeline; ambient light and partition temperature sensor data are integrated, and the influence of optical crosstalk and thermal drift is eliminated through a brightness adaptive calibration function; and finally, carrying out closed-loop verification and iterative optimization by adopting a loss function fused with HVS perception loss. According to the method, the defective pixel detection precision is improved from 82.3% to 99.2%, the PSNR after compensation is improved from 32.6 dB to 42.5 dB, the processing delay is reduced to 7ms / frame, and the visual quality and reliability of a DLP system are improved.

The invention relates to the technical field of infrared detection, and discloses an infrared detector dead pixel detection method, which comprises the following steps: acquiring a current scene image during the working period of an infrared detector and a plurality of frames of isothermal uniform surface background images acquired by the infrared detector at different working temperatures to form a background image sequence; performing singular point detection on each frame of image in the current scene image and the background image sequence by adopting an improved wavelet transform algorithm, screening out effective singular points, and calculating a singularity value of each effective singular point; based on the singular point detection result, the singularity value difference and historical background image data, static dead pixels, dynamic dead pixels and noisy points are distinguished through a multi-layer judgment rule, and a dead pixel detection result is obtained; and periodically evaluating the accuracy of the defective pixel detection result, and dynamically calibrating the detection parameters according to the evaluation result. Through collaborative analysis of the current working image and the multi-temperature background image sequence, dead pixels can be accurately detected in real time in the normal working process of the detector.

A display device includes: a display panel including a plurality of pixels; a sensing circuit to generate sensing values of the plurality of pixels by sensing characteristics of the plurality of pixels; and a panel defect normalizer to compensate for the sensing values, the panel defect normalizer including: a preliminary defective pixel detector to detect a preliminary defective pixel; a defective pixel detector to detect a defective pixel; a defective line detector to detect a defective line; a defective line compensator to compensate for a sensing value of the defective line; and a defective pixel compensator to compensate for a sensing value of the defective pixel.

The invention discloses a pixel response inconsistency correction method and system. The method relates to the technical field of pixel response correction and comprises the following steps of pixel dynamic offset calculation, flat field coefficient acquisition, pixel-level comprehensive correction and dead pixel self-repairing secondary optimization. The method comprises the following steps: acquiring a dark frame image and real-time temperature data, and calculating a dynamic offset of a pixel by means of a temperature-time double-domain prediction model; a flat field coefficient is obtained by fusing a basic value calibrated by a laboratory miniature integrating sphere in a full spectrum band and an updated value obtained by in-orbit observation of a deep space and a cloud top and processing of dead pixel detection and the like; then combining a GPS, an attitude angle and a real-time temperature, and using an offset and a flat-field coefficient to carry out pixel-level correction; and finally, a gain compensation matrix is output by means of a deep reinforcement learning model containing a convolutional neural network and a long-short-term memory network, the image is secondarily optimized through a dead pixel self-repairing module, the pixel response inconsistency correction precision is improved, and the problem that in the prior art, the pixel response inconsistency correction error is large is solved.

Provided is a photodetection device capable of suppressing generation of defective pixels. Specifically, the photodetection device includes a semiconductor substrate on which a plurality of photoelectric conversion units is formed; and a plurality of optical filters disposed on a light incident surface side of the semiconductor substrate. Furthermore, each of the optical filters includes a metal structure including a metal material of the same kind. Moreover, the photodetection device includes, between the metal structures, a slit portion spatially sectioning the metal structures.

The invention provides a mask pattern optimization method, a medium, a product and equipment. The method comprises the following steps: acquiring a mask pattern to be corrected and a corresponding ideal photoetching pattern; calling an artificial intelligence model in the inversion photoetching tool to generate a photoetching simulation result according to the mask pattern to be corrected; calculating a cost value according to the photoetching simulation result and the ideal photoetching graph; correcting the mask pattern to be corrected based on the cost value by using an inversion photoetching algorithm to obtain a corrected mask pattern; and taking the corrected mask pattern as a to-be-corrected mask pattern, and repeatedly executing the step of calling the artificial intelligence model in the inversion photoetching tool to generate a photoetching simulation result according to the to-be-corrected mask pattern until a preset cycle ending condition is met, thereby obtaining an optimized mask pattern. Through the method, the inversion photoetching tool can be highly matched with an OPC tool of a corresponding manufacturer, so that a process window of a dead pixel area is effectively improved, and a solid foundation is laid for improvement of the overall yield of technical nodes.

The invention relates to a camera pixel dead pixel detection and correction method and system, a terminal and a medium, and relates to the technical field of image detection and correction, and the method comprises the steps: determining a plurality of light intensity points based on the maximum light intensity responded by a camera pixel, and controlling a uniform light source to irradiate a camera to obtain an image data set; calculating a plurality of response coefficients corresponding to each pixel based on the image data set; performing dead pixel discrimination on each pixel of the camera based on the first response coefficient matrix, the second response coefficient matrix and the goodness-of-fit matrix to generate a dead pixel matrix; and for each pixel, determining the type of the pixel based on a dead pixel matrix, and correcting the gray value of the pixel based on the type and position of each pixel and a preset dead pixel correction algorithm to obtain a corrected image data set. According to the invention, the dead pixel of the camera pixel can be accurately detected, the pixel gray value is effectively corrected, and the image quality is improved.

The invention relates to the technical field of liquid crystal screen detection with a defective pixel classification function, and discloses a liquid crystal screen detection method and device with the defective pixel classification function, and the device comprises a classification base, a conveying belt arranged at the top of the classification base, a second conveying belt arranged at the top of the classification base, and a third conveying belt arranged at the top of the classification base. The surface of the classification base is fixedly connected with a support, a cleaning and detecting device is arranged above the classification base, a classification device is arranged above the classification base, and a collecting device is arranged on the surface of the classification base. When the conveying belt is started, the liquid crystal display above the conveying belt can be driven to move, when the liquid crystal display passes through the position below the cleaning soft brush, the cleaning soft brush can clean dust above the liquid crystal display, and it is avoided that the accuracy of machine detection is affected by the dust; and dust cleaned by the cleaning soft brush can enter a dust collection box through a dust collection cover through a dust collection pipe, and collection work is carried out.

The invention discloses an adaptive gradient descent optimization image dead pixel compensation method and system, and relates to the technical field of image processing, and the method comprises the steps: intercepting image frames of a received image data stream collected by a short wave infrared sensor according to a preset interval; calculating a gradient descent iteration value of the image group by adopting a self-adaptive gradient descent iteration algorithm; traversing each pixel point of each image frame in the image group, pre-estimating a pre-estimated pixel value corresponding to each pixel point according to the gradient descent iteration value, and calculating a decision factor according to a difference value between the pixel value of each pixel point and the pre-estimated pixel value corresponding to the pixel value; and judging whether each pixel point is a defective pixel or not according to a comparison result of the judgment factor of each pixel point and a preset threshold value, and if the pixel point is the defective pixel, replacing the pixel value of the defective pixel with the estimated pixel value. The self-adaptive gradient descent decision factor of each pixel is calculated in real time, and the dead pixel is identified by judging the difference between the estimated value and the actual value, so that real-time, self-adaptive and high-precision identification and compensation of the dead pixel are realized.

A display device comprises a plurality of first LEDs disposed in a first passivation layer. Each first LED has a first electrode disposed on the respective first LED and a second electrode that is electrically coupled to a control device. A contact of at least one second LED is directly bonded to the first electrode of at least one first LED. The second LED and the first electrode of the at least one first LED are disposed in a second passivation layer. An electrode of the second LED is electrically connected to a same control device that the second electrode of the at least one first LED is connected to.

An inspection apparatus includes: a memory; an image sensor configured to obtain a luminance image of the display apparatus comprising a plurality of pixels; and a processor configured to recognize a defective pixel based on the obtained luminance image, configured to recognize location information of the recognized defective pixel, and configured to control the memory to store the recognized location information of the defective pixel.

The application discloses a display panel, a repairing method thereof and a display device. The display panel comprises a substrate, a conductive layer and a pixel unit, and the pixel unit is arranged in an array in a first direction and a second direction. The substrate comprises a substrate, an array layer and an electrode layer, the pixel unit comprises a light emitting device, the light emitting device is connected between a first pad and a second pad of the electrode layer, and the light emitting device is used for emitting light. In the pixel unit, an in-situ area and a redundant area are arranged side by side in the second direction, the light emitting device can be arranged in the in-situ area or the redundant area, when the light emitting device in the in-situ area is damaged, the conductive layer in the in-situ area and the redundant area can be removed at the same time when the damaged light emitting device is removed, so that the first pad and the second pad are exposed in the in-situ area and the redundant area, and then the intact light emitting device is moved into the in-situ area or the redundant area and connected between the first pad and the second pad, so that the bad point repairing is realized.

The invention discloses a vehicle machine screen two-dimensional coupling detection method and system, and belongs to the technical field of computer vision and industrial automation detection. Obtaining a vehicle machine screen image stream through a multi-source video access layer; the vehicle machine screen image flow is input into a pre-trained YOLOv5-Heat multi-mode model, a screen abnormity type is recognized, and the screen abnormity type comprises at least one of color cast, dead pixels, full-screen abnormity and overheat points; analyzing the identified screen abnormity by adopting a two-dimensional coupling algorithm, and generating an early warning signal of a corresponding grade based on a result of the two-dimensional coupling algorithm; and when the early warning signal level is serious abnormity, an abnormal signal is converted into a CAN frame through the weekly standing power module, an instruction is sent to the execution module through the control bus, the relay module is controlled to execute power-off operation, and the vehicle machine is triggered to be restarted. The method is obviously superior to the prior art in five dimensions of detection precision, real-time performance, reliability, easy deployment and later cost.

This disclosure provides a method, apparatus, electronic device, and storage medium for correcting image defects. The method includes: for any pixel in the image data to be processed, determining a target data window with a preset scale centered on that pixel; determining whether the center pixel meets preset conditions based on the target data window, the preset conditions including a first condition for the pixel value of the center pixel to be satisfied and / or a second condition for the pixel values ​​of the same channel type in at least one direction corresponding to the center pixel to be satisfied; if the center pixel meets the preset conditions, determining the center pixel as a defective pixel; determining a corrected target pixel value for the center pixel based on the pixel values ​​of other pixels in the target data window; and determining corrected target image data corresponding to the image data to be processed based on the target pixel value. This method effectively balances defective pixel recall and high-contrast edge preservation, thereby improving the accuracy of defective pixel correction.

To provide an inspection device capable of determining whether each pixel of an inspection image is a defective pixel or a non-defective pixel without setting a model image.SOLUTION: The inspection apparatus specifies a search range away from the target pixel by an integer multiple of the pitch of the periodic pattern. When the target pixel is a non-edge pixel, the inspection device determines whether the target pixel is a defective pixel or a non-defective pixel according to a comparison result between a minimum value of a density difference between the target pixel and a pixel included in the search range and a first threshold. When the target pixel is an edge pixel, the inspection device determines whether the target pixel is a defective pixel or a non-defective pixel according to a comparison result between a minimum value of a difference in the change direction of the density gradient between the target pixel and the pixel included in the search range and a second threshold value.SELECTED DRAWING: Figure 1

The invention provides an image static dead pixel correction device and method, an image sensor and imaging equipment. The image static dead pixel correction device comprises a first-stage decoding module, a second-stage decoding module and a third-stage decoding module, wherein the first-stage decoding module reads a two-dimensional static dead pixel cluster corresponding to at least one line of image data including a current image data line from a nonvolatile memory; decoding each two-dimensional static dead pixel cluster and recoding in the X direction to obtain a plurality of one-dimensional static dead pixel clusters in the X direction, and storing the plurality of one-dimensional static dead pixel clusters in a cache region; the secondary decoding module reads the one-dimensional static dead pixel cluster corresponding to the current image data row and decodes the one-dimensional static dead pixel cluster to obtain a plurality of static dead pixels; the dead pixel marking unit determines static dead pixels to be corrected in the current image data row according to a plurality of static dead pixels corresponding to the current image data row; and the dead pixel correction unit corrects the static dead pixel to be corrected. According to the method, the nonvolatile storage space and the internal cache space can be saved, the static dead pixel correction efficiency is improved, and the method is suitable for static dead pixel clusters in any shape.

The application discloses a kind of low-illumination scene-oriented adaptive image noise reduction processing method, it is related to digital image processing technical field.The steps include: step S100: low-illumination image is collected and preprocessed, preprocessing includes dark current correction, bad point repair and lens distortion correction;By using back-illuminated CMOS sensor to collect image and execute dark current correction, bad point repair, the preprocessing operation of lens distortion correction, in combination with average brightness and gray standard deviation division low-illumination grade, according to noise intensity and distribution characteristics identify noise type, again based on preset parameter mapping table adaptive matching filter window size, noise reduction intensity weight and detail retention threshold technical means, it is difficult to eliminate in the process of low-illumination image acquisition fixed noise and system error, traditional noise reduction algorithm parameter fixed cannot adapt to different low-illumination grade and noise type, the problem of over-reduction or noise reduction deficiency, image edge detail loss is serious in noise reduction process.

The invention provides a display panel and a display device. The control end of at least one transistor in a pixel circuit in the display panel is electrically connected with a gate line; the shading structure is located on the side, close to the substrate, of the gate line and the pixel circuit, and the shading structure comprises a first shading structure extending in the first direction; the gate lines and the first shading structures are at least partially overlapped in the direction perpendicular to the plane where the substrate is located; the first shading structure has an opening; the gate line comprises a first side and a second side which are opposite in a second direction, and the second direction is crossed with the first direction; the opening is overlapped with the first edge and the second edge of the at least one gate line in the direction perpendicular to the plane where the substrate is located. According to the invention, the short-circuit defect of the gate line can be repaired, only local dead pixels appear during display after repair, and transverse bright and dark lines can be prevented from being displayed.

An image sensing device according to the present invention comprises: a determination unit including a first determination unit and a second determination unit; and a correction unit. By using the components, small-sized pixels included in an image sensor can be corrected on a pixel-by-pixel basis.

This application provides an electronic device. The electronic device includes a flexible display panel, a back panel, and a hinge, with the back panel disposed between the flexible display panel and the hinge. The flexible display panel includes a connected unfolding portion and a bending portion, the bending portion being used for bending the flexible display panel. The back panel has a first blind hole, which is located on one side of the back panel and away from the flexible display panel. The hinge has a slit. Using the surface of the flexible display panel as a reference plane, the projection of the first blind hole onto the reference plane at least partially overlaps with the projection of the slit onto the reference plane. The first blind hole helps prevent display defects such as bright spots, black spots, and dead pixels from appearing on the flexible display panel, thereby improving the lifespan of the electronic device.

The invention discloses a layout verification method, layout verification equipment and a layout verification product, and relates to the technical field of semiconductor integrated circuits. The layout verification method comprises the following steps: carrying out photoetching simulation on at least one dead pixel region to be verified in a layout rule check result of a design layout to obtain a photoresist three-dimensional development structure of each dead pixel region to be verified; extracting photoresist developing slices with a plurality of developing depths from each photoresist three-dimensional developing structure; carrying out contour extraction on each photoresist developing slice to obtain a photoresist developing contour diagram of the to-be-tested dead pixel region at the corresponding developing depth; converting each photoresist development profile diagram into data in a layout format, and importing the data in the layout format into preset layout processing software to generate a layout file for verification; and performing layout rule check on the layout file for verification to obtain a defective pixel verification result. The efficiency of the layout verification process can be improved.

In an inkjet recording device, when a defective nozzle in a recording head is corrected, a control unit increases the amount of ink discharged to a correction pixel region adjacent to a defective pixel region corresponding to the defective nozzle in an intersection direction as compared with the amount of ink discharged to each of other pixel regions. The control unit reduces the amount of ink discharged to the correction pixel region by the recording head arranged on a downstream side in the direction of movement of a recording medium as compared with the amount of ink discharged to the correction pixel region by the recording head arranged on an upstream side in the direction of movement of the recording medium.

The application discloses a display panel and a display device. The display panel comprises a substrate, a driving circuit layer arranged on one side of the substrate, a plurality of sub-pixels arranged on one side of the driving circuit layer, a pixel definition layer for defining positions of the plurality of sub-pixels, the driving circuit layer comprising a plurality of first thermoelectric elements and a plurality of second thermoelectric elements with different Seebeck coefficients and arranged corresponding to the pixel definition layer, a plurality of first detection lines and a plurality of second detection lines, at least one of the first thermoelectric element and the second thermoelectric element being arranged around each sub-pixel, in adjacent sub-pixels, the first thermoelectric element is arranged around one sub-pixel, the second thermoelectric element is arranged around the other sub-pixel, and the first thermoelectric element and the second thermoelectric element around at least two adjacent sub-pixels are in contact and electrically connected, the first detection lines extend along a first direction, the second detection lines extend along a second direction, and the first detection lines and the second detection lines are electrically connected to the contact points of the first thermoelectric element and the second thermoelectric element. Through the above arrangement, the problem of low detection efficiency and insufficient accuracy of the display panel is solved.

The invention relates to the technical field of image noisy point removal, and discloses a noisy point suppression method and system for a black light camera, and the method comprises the steps: constructing a response rate factor matrix and an intercept factor matrix, carrying out the collection of a working scene image based on the black light camera, obtaining a working scene image, carrying out the correction of the working scene image, and obtaining a noise point suppression result. Performing stripe noise suppression operation on the corrected working scene image to obtain a stripe noise removed image; performing connected domain analysis operation on the binarized image to obtain an independent connected domain set; performing central point diffusion operation on the independent connected domain set to obtain an expanded independent connected domain set; and performing noisy point distinguishing operation on the extended independent connected domain set to obtain a denoised working scene image, and completing noisy point suppression of the black light camera based on the denoised working scene image. According to the invention, stripe noise can be effectively suppressed, defective pixel noise points can be accurately eliminated, and effective targets can be accurately distinguished.

The present application relates to the field of photolithography friendly technology, particularly relates to a mask layout correction method, comprising the following steps: providing an initial mask layout, the mask layout obtains the graphic point information in the initial mask layout; the graphic point information in the initial mask layout is matched with the bad point information in the preset mask layout matching library, the mask layout matching library includes mask layout bad point information and the correction point information corresponding to the mask layout bad point information; if there is bad point information and the certain graphic point information in the initial mask layout is matched, then the initial mask layout is corrected using the correction point information corresponding to the mask layout bad point; in order to solve the problem that the existing mask layout correction method needs to consume huge computing resources, the present application provides a kind of mask layout repair method.

The present application relates to the technical field of image processing, and more particularly to an endoscope fault image feature extraction method based on artificial intelligence, which comprises: bad point detection to determine abnormal pixels and coordinates; density ratio and cluster analysis to determine spatial distribution patterns; identification of fault types to determine the timing evolution trend; extraction of fingerprint feature vectors; prediction of development trend to determine the maintenance time window; and positioning of the physical location of the fault. The present application locates abnormal pixels through bad point detection, determines whether the bad point distribution belongs to edge priority or linear arrangement through density ratio and cluster analysis, and further determines the fault type of sealing failure or cable breakage. Meanwhile, the feature vector is extracted through the fusion of CNN and Transformer, the development trend is predicted in combination with the timing evolution to determine the maintenance window, and finally the physical location is located through coordinate mapping when the maintenance conditions are met, thereby improving the efficiency and accuracy of endoscope fault diagnosis.

The present disclosure relates to an image processing device and method that make it possible to suppress a reduction in the quality of an image after defect correction while suppressing an increase in the amount of data outputted by an image sensor. The present invention converts the format of defect information about defective pixels in a pixel array that detects brightness and generates defect information for transmission, encodes image data that represents a brightness distribution detected at the pixel array and generates encoded image data at a bitrate set on the basis of a bitrate for the defect information for transmission, and multiplexes the defect information for transmission and the encoded image data and generates a bitstream. The present disclosure can be applied, for example, to an image processing device, an electronic apparatus, an image processing method, or a program.

An image processing apparatus includes: a target pixel defect determiner configured to determine whether a target pixel within a kernel is a defective pixel; a cluster defective pixel detector configured to detect, when the target pixel is determined as a defective pixel, at least one cluster defective pixel serving as a defective pixel sharing a floating diffusion node with the target pixel; an offset correction determiner configured to determine whether to correct the target pixel and the at least one cluster defect pixel based on an offset value of the target pixel; and a defective pixel corrector configured to correct the target pixel and the at least one cluster defective pixel based on determining the correction target pixel and the at least one cluster defective pixel.