57 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.

The invention relates to the technical field of image signal processing, and discloses an agent-free ISP hyper-parameter high-speed optimization method and system, and the method comprises the following steps: collecting RAW data through a sensor, carrying out the black level correction, and initializing the ISP register parameter mapping; a multi-dimensional state vector is constructed by combining the coded image and the parameters, and the master and slave agents generate discrete adjustment amounts in parallel; after a register is updated through nonlinear quantization, a composite reward is calculated based on target detection and image quality, and data is stored and network parameters are updated through a priority experience pool; the system comprises a sensor module, an ISP hardware processing unit, a master-slave agent decision module, a reward calculation module, a register mapping module and an experience playback module. According to the method, hardware-in-the-loop and deep reinforcement learning are combined, and the problems of proxy model distortion, response lag, high data dependence and parameter mutation are solved through master-slave agent parallel decision, a self-supervision reward mechanism and nonlinear parameter mapping.

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.

A device for image processing includes processing circuitry configured to perform black level remapping. To perform black level remapping, the processing circuitry is configured to: determine luminance values for pixels of a first image, wherein the pixels of the first image are based on color values of samples in each color frame of a plurality of color frames of the first image, wherein each color frame is associated with a different color; determine a first threshold based on the luminance values; determine a mapping curve based on the first threshold and a second threshold; apply the mapping curve to color values of a set of the samples in each color frame to generate black level remapped samples for each color frame, the set of the samples having a color value between the first threshold and the second threshold; and generate a second image based on the black level remapped samples.

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 relates to the technical field of detection devices, in particular to a medical endoscopic device based on naked eye 3D display, which comprises a display module, and further comprises a dual-spectrum endoscope probe comprising a probe shell, and a first sensing head, a second sensing head, an optical lens group and a miniature copper pipe which are arranged in the probe shell, base lines of the first sensing head and the second sensing head are arranged at intervals; wherein the first sensing head obtains an RGB image, and the second sensing head obtains an NIR image; the controller is electrically connected with the dual-spectrum endoscope probe and is configured to receive dual-spectrum images of the RGB image and the NIR image, align timestamps of the dual-spectrum images through FPGA trigger signals and perform dynamic black level correction; and performing smoke detection on the dual-spectrum image through a YOLOv5 network model, if smoke exists, constructing a defogging network model through automatically searching a U-Net model of an optimized network structure, and outputting a defogged image and a derivative image.

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.

The invention relates to devices, systems, and methods for black level mixing in projectors. An apparatus controls at least two projectors to project color channel images that partially overlap in an overlap region at a plurality of video levels. Using at least one sensor, the device acquires a digital image of the projected color channel and determines a function of the projection brightness of the point of each projector relative to the video level. When projecting a black image, the device selects brightness levels of points outside the overlap region to mix brightness inside and outside the overlap region. The device then uses the function to determine the video level for each color channel, and controls the projector accordingly.

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 disclosure relates to an endoscope calibration method, apparatus, electronic device, and storage medium. A sample image set including a plurality of all-black sample images collected in a lightless environment and a white level image collected by the endoscope under the conditions of maximum brightness, gain, and temperature are obtained. Each sample image has a corresponding gain and temperature. The corresponding black level value is determined according to the pixel value of each sample image, and the white level value is determined according to the pixel value of the white level image. A calibration function is determined according to the gain, temperature, and corresponding black level value of each sample image. When the endoscope obtains an image to be calibrated, the image to be calibrated is calibrated according to the white level value and the calibration function. The present disclosure accurately determines a calibration function representing the corresponding relationship between the black level value and the gain and temperature through a plurality of samples, and calibrates the images collected by the endoscope in real time through the calibration function and the white level value, removing the noise brought by the black level in the images and improving the image quality.

The embodiment of the invention provides an image processing method, electronic equipment and a computer readable storage medium. The method relates to the technical field of computer vision, and comprises the following steps: extracting global features and local features of an original image; based on the global features and the local features, determining a black level value of each unit pixel in the original image, the black level value being generated by equipment noise of a sensor collecting the original image; performing image correction according to the black level value of each unit pixel to obtain an intermediate image feature; 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. According to the technical scheme of the embodiment of the invention, the method solves a technical problem that the quality of an image processed under a low-light condition is not ideal in the prior art.

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.

To enhance the accuracy in black level correction.SOLUTION: An imaging element comprises: an imaging region that has a plurality of first pixels each including a first photoelectric conversion part and a first circuit part and arranged in a first direction and a second direction, a first control line to which signals for controlling the plurality of first pixels are outputted, and a first output line for outputting signals generated at the plurality of first pixels; and a plurality of light-shielding pixel regions each of which has a plurality of second pixels each including a shielded second photoelectric conversion part and a second circuit part and arranged in the first direction and the second direction, a second control line to which signals for controlling the second pixels are outputted, and a second output line for outputting signals generated at the plurality of second pixels. The light-shielding pixel regions are arranged outside a region incorporating all first pixels included in the imaging region. The imaging element has: an imaging pixel region in which different control conditions can be respectively set for the plurality of imaging regions; and an optical black pixel region in which the same control condition as a reference source imaging region can be respectively set for the plurality of light-shielding pixel regions.SELECTED DRAWING: Figure 6

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.

An image sensor includes a pixel array including at least one light-shielded area where no light enters and an imaging area where light enters, wherein each pixel includes a photoelectric conversion element, a black level processing unit that corrects an output of each pixel in the imaging area, and a memory that stores a predetermined black level reference for each pixel in the imaging area. The processing unit calculates a Slope, which is determined by an average output value at imaging of pixels in the at least one light-shielded area taken during imaging and a reference average output value of pixels in the at least one light-shielded area under certain conditions taken prior to imaging, and correct an output of each pixel in the imaging area using the predetermined black level reference and the Slope.

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.

The invention provides a black level correction value acquisition device and method, an image sensor and imaging equipment. The black level correction value acquisition device is used for the image sensor, and the image sensor comprises a pixel array. The black level correction value acquisition device comprises at least two reference data acquisition units and a black level estimation unit, and the at least two reference data acquisition units are located at different positions of the edge of the pixel array; the reference data acquisition unit is configured to acquire black level reference data at a first position of the reference data acquisition unit in real time; the black level estimation unit is configured to determine a black level correction value of the to-be-evaluated pixel according to the black level reference data acquired by each reference data acquisition unit. According to the invention, a more objective and accurate black level correction value can be obtained, and the problem of non-uniform temperature distribution of the photosensitive area of the image sensor can be well solved, so that the correction precision of the dark current is remarkably improved, and the imaging quality is effectively improved.

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.

A device controls at least two projectors to project color channel images at multiple video levels, with partial overlap in an overlap region. Using at least one sensor, the device acquires digital images of the projected color channels and determines functions of projected brightness relative to video level for each projector's points. The device selects brightness levels for points outside the overlap region to blend brightness inside and outside the overlap region when projecting black images. The device then determines video levels for each color channel using the functions and controls the projectors accordingly.

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.

Various embodiments of the present disclosure are directed towards an image sensor. The image sensor includes a plurality of photodetectors disposed within a substrate, and the plurality of photodetectors includes a first active photodetector and a black level correction (BLC) photodetector. A metal grid structure surrounds the first active photodetector along a periphery of the first active photodetector on a first side of the substrate. A recessed blocking structure covers the BLC photodetector on the first side of the substrate. The recessed blocking structure includes both a first blocking layer inset into the first side of the substrate and a second blocking layer directly over the first blocking layer.

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.

To make the brightness inside and outside an overlap area uniform.SOLUTION: An apparatus controls at least two projectors to project color channel images at multiple image levels with partial overlap in the overlap region. Using at least one sensor, the apparatus acquires digital images of the projected color channels and determines a function of projected brightness for each projector point's image level. The apparatus selects brightness levels for points outside the overlap region to blend brightness inside and outside the overlap region when projecting a black image. The apparatus then uses the function to determine the image level for each color channel and controls the projectors accordingly.SELECTED DRAWING: Figure 5

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.