31 results about "Black level" patented technology

The invention discloses a dynamic adaptive black level correction method and device, and relates to the technical field of image processing. According to the dark current space distribution difference, an effective pixel area in each frame of original image is dynamically divided; determining an initial black level calibration coefficient of each space block based on the dark pixel noise level; obtaining the current temperature and the temperature change rate of each space block, and obtaining the level calibration coefficient of each space block after temperature self-adaptive calibration based on the initial black level calibration coefficient corresponding to each space block; fusing the calibration information of the previous frame and the level calibration coefficient of the current frame to obtain a cross-frame stable calibration result; and correcting the effective pixels in each space block based on a cross-frame stable calibration result to obtain a corrected pixel value, and reconstructing the corrected pixel value into an output image. The problems that an existing black level calibration technology is poor in space uniformity, insufficient in temperature change adaptability and unstable in calibration coefficient are solved.

An image sensor device may include a pixel sensor array and a black level correction (BLC) region. The BLC region may include a sensing region in a substrate and a light-blocking layer above the sensing region. An anti-reflection array may be formed in the light-blocking layer. The anti-reflection array includes holes, trenches, and / or other structural features such that the light-blocking layer includes two or more areas in which the top surface of the light-blocking layer is at different heights in the image sensor device. The different heights of the top surface of the light-blocking layer reduce the likelihood of light being reflected off of the light-blocking layer and toward the pixel sensor array. The anti-reflection array may reduce the likelihood of occurrence of flares or hot spots in images generated by the image sensor device, which may increase the image quality of the images generated by the image sensor device.

An image sensor device may include a pixel sensor array and a black level correction (BLC) region. The BLC region may include a sensing region in a substrate and a light-blocking layer above the sensing region. An anti-reflection array may be formed in the light-blocking layer. The anti-reflection array includes holes, trenches, and / or other structural features such that the light-blocking layer includes two or more areas in which the top surface of the light-blocking layer is at different heights in the image sensor device. The different heights of the top surface of the light-blocking layer reduce the likelihood of light being reflected off of the light-blocking layer and toward the pixel sensor array. The anti-reflection array may reduce the likelihood of occurrence of flares or hot spots in images generated by the image sensor device, which may increase the image quality of the images generated by the image sensor device.

The invention discloses a wood grain display screen, which relates to the technical field of vehicle-mounted display and comprises a middle frame, a light display component arranged in the middle of the middle frame, an optical cementing layer and an IML wood grain diaphragm layer with a light-transmitting texture area. The light display assembly is formed by laminating a backlight module, a liquid crystal display panel and a composite optical cover plate. A wood grain display system is arranged in a controller in the middle frame, the system stores a light transmittance mapping graph by utilizing an optical characteristic storage module, and UI coordinates are adjusted through a content rendering engine module to avoid low-light-transmittance textures; the image signal processing module performs color and brightness correction based on spectrum and texture characteristics; and the backlight control and environment coupling module is combined with environment illuminance, and backlight driving parameters are adjusted by using a partition black level cut-off mechanism and a reflection coupling control mechanism. Through cooperation of software and hardware, the display definition is guaranteed while the real wood grain touch feeling is reserved, excessive screen conversion in the vehicle is effectively reduced, and deep fusion of the screen and the interior trim is achieved.

This disclosure provides a method, electronic device, and readable storage medium for eliminating black levels. The method includes: acquiring a first average value and a second average value of the black level for each color channel in a current frame image, and a third average value and a fourth average value of the black level for each color channel in a previous frame image; determining a first target average value for each color channel based on the absolute value of a first difference between the first and third average values, and determining a second target average value for each color channel based on the absolute value of a second difference between the second and fourth average values; determining a black level gradient value based on the first and second average values ​​for each color channel; and processing the current frame image based on the first target average value, the second target average value, and the black level gradient value to obtain a target image.

The present invention provides a photoelectric converter capable of performing appropriate black level correction even when processing pixel signals using multiple different gain settings. [Solution] The photoelectric converter includes a pixel that outputs an analog reference signal and an analog image signal; a readout unit that outputs a digital reference signal that has undergone gain processing and AD conversion processing on the analog reference signal and a digital image signal that has undergone AD conversion processing and gain processing with a first gain or a second gain on the analog image signal; and a difference processing unit that outputs a first value, which is a value generated by difference processing between the digital image signal and the digital reference signal, when the analog image signal has undergone gain processing with a first gain or the digital signal value, which is the value of the digital reference signal, is less than a first determination value, and outputs a second value, which is different from the value generated by difference processing, when the analog image signal has undergone gain processing with a second gain and the digital signal value is equal to or greater than the first determination value.

The invention discloses a photovoltaic cell photoluminescence image noise identification and suppression method and system, and relates to the technical field of photovoltaic cell defect detection.The method comprises the steps that photoluminescence images of a photovoltaic cell under dark field and bright field conditions are collected through an image sensor; pre-processing the image, wherein the pre-processing comprises blind pixel correction based on a manual calibration method and black level correction based on absolute difference operation; based on the preprocessed image, fixed pattern noise is identified through a multi-frame comparison technology, and a noise position mapping matrix is generated; and based on the matrix, carrying out noise suppression on the image by adopting a selective multi-stage median filtering strategy, and outputting a corrected image. According to the method, the problems of image quality reduction and low defect identification precision caused by fixed-mode noise interference in the prior art are effectively solved, efficient processing and detail reservation are taken into account, and the accuracy and reliability of photovoltaic cell defect detection are remarkably improved.

The present application provides a kind of image sensor with black level compensation function, comprising: for generating analog image signal pixel main array;Active pixel array in the pixel main array, imaging lens focuses incident light on the active pixel array;Four corner pixel subarrays, each corner pixel subarray is located in one of the four corners of the active pixel array, opaque shield is above its photodiode to prevent the generation of charge related to incident light, these corner pixel subarrays provide black level compensation analog image signal;Analog-to-digital converter circuit and black level compensation circuit, black level compensation circuit compensates the black level variation between the pixels of the active pixel array by algorithm.The present application adopts black level compensation method to solve the image shadow of image sensor caused by various factors.The present application also provides an image sensor black level compensation method.

The method and device for denoising of extremely low light original image can improve the generalization ability of the joint denoising and demosaicing method for extremely weak light image, greatly reduce the number of parameters without losing performance, and have better robustness. The method comprises the following steps: (1) inputting an extremely low light original image into a system; (2) image reconstruction, reconstructing a single-channel original image into an RGBG four-channel image with a resolution of 1 / 4 of the original image; (3) black level normalization; (4) enhancing the signal at a specified magnification ratio; (5) inputting an SUnet++ neural network; (6) outputting an RGB*4 twelve-channel image with the same resolution as the image input into the neural network; (7) reconstructing the output image into an RGB three-channel image with the same resolution as the original system input image; and (8) outputting an RGB image with normal brightness.

This application provides an image processing method, an electronic device, and a computer-readable storage medium. Relating to the field of computer vision technology, the method includes: extracting global and local features of an original image; determining the black level value of each unit pixel in the original image based on the global and local features, wherein the black level value is generated by device noise from the sensor that acquired the original image; performing image correction based on the black level value of each unit pixel to obtain intermediate image features; performing denoising processing based on the intermediate image features, and repairing the denoised intermediate image features to obtain reconstructed image features; and performing image enhancement processing on the reconstructed image features to obtain a target image. In the technical solution of this application embodiment, this application solves the technical problem in related technologies where the image quality after processing under low-light conditions is unsatisfactory.

The invention discloses a VR display parameter adaptive setting method based on ambient light perception, and particularly relates to the technical field of virtual reality display control, electrical and optical calibration of an ambient light sensor is completed under a unified time base and a fixed step length, and physical quantities such as illumination intensity and related color temperature after unit conversion and noise suppression are obtained; environment and content features are synchronously extracted in the sliding window, time sequence alignment is carried out, and an environment / content double-baseline and hardware reachable domain model is established; executing priority arbitration according to a threshold value and a shortest residence criterion, linking brightness, white points, gamma and black bits in a reachable domain, and planning smooth transition of an asymmetric rate; a closed loop set in a display pipeline is grounded through binocular consistency control and read-back check of frame synchronization, and user preference superposition and evidence filing are supported.

The present application relates to an information processing device and method, a computer readable storage medium. Wherein, the information processing device comprises processing circuitry configured to: generate a synthetic noise image based on an input original image; and process a black level in the synthetic noise image, and train a machine learning model for denoising an image based on the processed synthetic noise image to obtain a trained machine learning model.

This technology provides the ability to acquire white level information appropriate for image correction. [Solution] The processing device performs processing on multiple pixels of an image sensor. Each of the multiple pixels has multiple light-receiving elements. Each of the multiple light-receiving elements has a photoelectric conversion element whose current changes according to the amount of light irradiated onto the light-receiving element. The processing device includes a storage unit and a white level information generation unit. The storage unit stores black level information representing the pixel values ​​of the multiple pixels when the image sensor is not detecting light. The white level information generation unit generates white level information representing the pixel values ​​of the multiple pixels when the image sensor is detecting uniform light, based on the black level information.

The invention discloses a giant clam shell waste image data acquisition processing method and system, and relates to the technical field of giant clam shell waste image processing, and the method comprises the steps: obtaining a black level map, a response uniformity correction map and two working wavelength channel gains based on a black field map and a white board map; the method comprises the following steps: collecting four images under parallel polarization and orthogonal polarization, correcting, uniformizing, calculating a common mode item and a difference item, and normalizing to obtain a dual-polarization dual-wavelength interference difference index graph; and generating a confidence map in combination with the saturated pixel mask and local noise estimation, and performing robustness to obtain an effective pixel mask and a statistic set, and finally forming a sample data packet. According to the invention, anti-interference, stable, comparable and traceable detection of the tridacna waste image data can be realized.

This invention relates to the field of image processing technology, specifically to an automatic color correction method for microscope images. The method includes: extracting the background component of a metallographic sample image sequence to fit a predicted illumination field; constructing a thermal stability compensation model that correlates power-on time with real-time temperature; and performing level reference subtraction on the original image to eliminate black level drift. A constrained normalized division is performed on the initial correction image using the illumination field to obtain an intrinsic reflectance image. Color shift correction is achieved by statistically analyzing the histograms of the red, green, and blue channels and identifying the matrix's main peak, using the mean of its central pixel value as a reference for gain scaling. Finally, a piecewise nonlinear mapping transformation is performed based on the local maxima of different metal phases, followed by slope smoothing. This invention solves the color distortion problem caused by the coupling of uneven illumination and thermal drift in microscopic imaging, effectively improving the fidelity and contrast of metallographic images, and is applicable to the field of automated metallographic analysis.

The invention is entitled "Electronic device with low refresh rate display pixels." A display is disclosed that can have an array of organic light emitting diode display pixels that operate at low refresh rates. Each display pixel can have six thin film transistors and a capacitor. One of the six transistors can be used as a drive transistor and the remaining five transistors and capacitor can be used for compensation. One or more bias stress operations can be applied prior to threshold voltage sampling to mitigate first frame dimming. Multiple anode reset and bias stress operations can be inserted during a vertical blanking period to reduce flicker and maintain balance and can also be inserted between successive data refreshes to improve first frame performance. Two different emission signals that control each pixel can be toggled back and forth using a pulse width modulation scheme to help provide a darker black level.

The invention provides an image sensor, an electronic device and a method, the image sensor comprises a pixel, a comparator, a digital-to-analog converter, a digital processing circuit, a correction module and a first controller, the first controller is used for responding to a received black level correction signal output by the digital processing circuit and controlling the correction module to output a correction signal, a first signal output by the digital-to-analog converter is combined with the correction signal and then is output to a first input end of the comparator; the correction signal is a decimal multiple of the first signal. Therefore, as the signals input to the comparator comprise the first signal and the correction signal, and the correction signal is decimal times of the first signal, the comparator can perform decimal bit correction on the black level, so that the digital processing circuit only needs to perform integer bit correction on the black level, and on the basis of realizing high-precision decimal bit correction, the correction efficiency of the black level is improved. And the operand and the power consumption increment of the digital processing circuit are reduced.

The application discloses a RAW domain low-light image enhancement method and system imitating a traditional ISP pipeline, and comprises the following steps: acquiring image RAW data under low-light conditions and performing black level saturation standardization on the image RAW data; inputting the data after the standardization processing into a RAW data encoder to obtain a feature set under different scales; inputting the feature set into a network denoising decoder to obtain a denoised feature set under different scales; feeding back the denoised feature set to the RAW data encoder, re-encoding the data after the standardization processing in combination with the feature set, obtaining the feature set, inputting the feature set into a color correction encoder, and calculating an RGB image after low-light enhancement. The method makes the overall structure more conducive to the task from the RAW domain to the RGB domain, thereby improving the level of completing the RAW domain low-light enhancement.

This invention relates to the field of image processing technology, specifically to a pixel processing method, apparatus, device, and storage medium for images. The method includes: receiving image data of an original image captured by a sensor; dividing the n pixels into a first set and a second set by detecting whether n first pixel values ​​are 0; determining a first virtual black level in the first set based on the first pixel values, the true black level, and the bit width; setting the black level of each pixel in the second set to a second virtual black level; and statistically obtaining n virtual black levels corresponding to the n pixels; cropping the n first pixel values ​​to obtain n second pixel values; and performing post-processing on the image using the n second pixel values ​​to obtain the original image. After virtual black level cropping, this method retains some pixel values ​​that are not 0, preserving smaller values, thereby retaining pixel color or detail in extremely dark areas and optimizing image contrast and detail.

This application discloses a dynamic adaptive black level correction method and apparatus, relating to the field of image processing technology. Based on the spatial distribution differences of dark current, the effective pixel regions in each frame of the original image are dynamically divided; based on the dark pixel noise level, the initial black level calibration coefficients for each spatial block are determined; the current temperature and temperature change rate of each spatial block are obtained, and based on the initial black level calibration coefficients corresponding to each spatial block, the temperature-adaptive calibration coefficients for each spatial block are obtained; the calibration information from the previous frame and the calibration coefficients of the current frame are fused to obtain a stable cross-frame calibration result; based on the stable cross-frame calibration result, the effective pixels in each spatial block are corrected to obtain corrected pixel values, and the corrected pixel values ​​are reconstructed into the output image. This solves the problems of poor spatial uniformity, insufficient adaptability to temperature changes, and unstable calibration coefficients in existing black level calibration techniques.

A stroke-guided vectorization system is described that generates, from an input sketch and guide image depicting an approximate vector representation of the sketch, an aligned guide image depicting an improved vector representation of the sketch. To do so, the stroke-guided vectorization system determines black levels representing a vector stroke in the input sketch and white levels representing a background in the input sketch. The stroke-guided vectorization system determines a black threshold value and a white threshold value for discrete portions of the aligned guide image using subsets of the black levels and subsets of the white levels determined using the input sketch. Each discrete portion of the aligned guide image is then mapped to a vector stroke or a background based on the black threshold value and the white threshold value of the portion.

To enable high-sensitivity photographing in an imaging apparatus without a slow shutter function, and to suppress deterioration in video quality accompanying the high-sensitivity photographing.SOLUTION: There is provided an imaging device including a signal processing unit that applies a filtering process to a video frame generated from an output signal of an image sensor, a first black level correction unit that applies black level correction to the video frame after the application of the filtering process, and a frame storage unit that outputs a high-luminance video frame generated using a plurality of video frames after the application of the black level correction when a high-sensitivity imaging function is turned on.SELECTED DRAWING: Figure 1

A new projector design combines one spatial light modulator that affects only the phase of the illumination, and one spatial light modulator that only affects its amplitude (intensity). The phase-only modulator curves the wavefront of light and acts as a pre-modulator for a conventional amplitude modulator. This approach works with both white light and laser illumination, generating a coarse image representation efficiently, thus enabling, within a single image frame, significantly elevated highlights as well as darker black levels while reducing the overall light source power requirements.

The invention discloses a coaxial multidirectional picture video output method for an ultra-high-definition camera, and the method comprises the steps: obtaining video data in real time through employing an image sensor of which the ratio of the horizontal resolution to the vertical resolution is 1: 1, and guaranteeing the output of a horizontal screen picture and a vertical screen picture of the maximum picture; equally dividing the real-time video data according to a frame sequence to generate odd frame data and even frame data; image processing including Bell interpolation, black level correction, noise reduction, distortion correction, color correction and the like is carried out on the odd frame data and the even frame data respectively, and then the processed data are coded to obtain corresponding vertical screen proportion data and horizontal screen proportion data. According to the invention, a path of full-resolution image data can be converted into a path of vertical screen proportion data and a path of horizontal screen proportion data. The method can be widely applied to the field of image processing.

For example, a pixel processor may be configured to receive signed digital pixel data corresponding to a plurality of pixels of a pixel array, the signed digital pixel data including a plurality of pixel-read values over a signed range, the plurality of pixel-read values including a plurality of negative pixel-read values over a negative sub-range, and a plurality of positive pixel-read values over a positive sub-range; and to generate unsigned digital pixel data over an unsigned range based on the signed digital pixel data, the unsigned digital pixel data including a first plurality of unsigned digital pixel values over a first sub-range of the unsigned range, and a second plurality of unsigned digital pixel values over a second sub-range of the unsigned range. For example, the first plurality of unsigned digital pixel values may be based on a black level scaling factor applied to the plurality of negative pixel-read values.

The invention provides a dark current non-uniformity correction method and system for an image sensor chip. The method comprises the following steps: positioning an output position coordinate of a pixel array in real time and processing a line field synchronization signal; performing grid initialization processing and grid updating on an effective output area in the pixel array through state jump of a state machine; modulation processing is carried out on each pixel through a bilinear interpolation algorithm, and modulation operation is carried out according to the correction coefficient of each vertex in the grid and the correspondingly counted pixel optical black area value; according to the row and column directions in a single grid, grid interpolation weight updating is carried out according to the clock rhythm; and selecting and outputting the pixel optical black area value after the interpolation weight update according to color arrangement so as to correct the data stream of the black level correction module. The non-uniform distribution condition of dark current of the image sensor chip at high temperature can be obviously improved, so that the accuracy and the uniformity of dark current correction are improved.

The invention is suitable for the field of image processing, and discloses an image ISP processing method and device, equipment and a storage medium. The image ISP processing method comprises the following steps: acquiring a to-be-processed image acquired by a CMOS sensor; image signal processing is performed on the to-be-processed image to obtain a target image, and the image signal processing comprises black level compensation, linear correction, lens shadow correction, gain adjustment, gamma correction, dead pixel detection, 2D noise reduction, edge sharpening, wide dynamic range adjustment, color correction and ultra-strong light suppression. Black level compensation, linear correction, lens shadow correction and gain adjustment are executed based on sensor calibration parameters corresponding to the CMOS sensor; and outputting the target image. According to the method, high image quality is maintained, low-delay, low-cost and high-compatibility ISP processing is realized, and the method is suitable for the electronic field of multi-sensor platforms and batch deployment.

An image sensor includes a substrate having first and second surfaces opposite to each other, an image pixel area, and a black level calibration (BLC) area adjacent to the image pixel area. The BLC area includes a dark current sensing circuit including photo diodes disposed in the substrate, a first seal ring disposed over the second surface and surrounding the image pixel area in plan view, a second seal ring disposed over the second surface and surrounding the image pixel area in plan view such that the dark current sensing circuit is disposed between the first and second seal rings, an opaque cover disposed over the first surface and covering the dark current sensing circuit, the first and second seal rings, and one or more first trench isolation structures extending from the first surface to an inside the substrate and disposed between the first seal ring and the opaque cover.

This application relates to the field of image processing technology, and further to a method and apparatus for local black level calibration, a computer-readable storage medium, and a computer program product. The method includes: performing temporal accumulation on multiple acquired original images to determine a target image; determining effective pixels of the target image based on the median and standard deviation of multiple target pixels and the mean of each pixel in the target image; determining normalized weights for all effective pixels based on the mask and variance of all effective pixels; determining mesh nodes based on the normalized weights of all effective pixels, the mean of each pixel in the target image, the sampling interpolation matrix, and the regularization coefficient; and performing local black level calibration on the multiple original images based on the mesh nodes. This method significantly eliminates spatial distribution noise from the image sensor and improves image quality.

An image processing device includes a memory and a processor configured to calculate a reference black level and a reference illumination light component based on pixel values of peripheral pixels located around a target pixel for image processing using image data acquired by an imaging device, correct a black level of the target pixels based on the reference black level calculated by the processor, and perform a tone correction of the target pixels with the black level corrected based on the reference illumination light component calculated by the processor. Accordingly, even when a large gain is applied to a dark portion of an image in a local tone correction, it is possible to generate an image with high visibility in which an occurrence of raised black levels is suppressed.