656results about "Color signal processing circuits" patented technology

An image capturing apparatus for capturing an object and generate an image, displaying the image, performing signal processing for the image, and accepting an input from a user, wherein the image is displayed with a vectorscope superimposed thereon, the vectorscope indicating a distribution of color components included in the image based on a hue and a color density and an index for specifying a range of a skin color region in the image, a display position of the index on the vectorscope is specified based on the hue and the color density values, and a size of the index is specified by the range of the skin color region value, and processing is performed for decreasing a detail level of an image signal of the image having a color component included in the index.

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 present application provides a method and apparatus for low-power-consumption and simplified transmission of display data, a medium, a program product, and a terminal. By acquiring image data to be sent, extracting the same one or more types of channel image information from the data on the basis of a display mode of a receiving device and sorting the channel image information according to an extraction order to form a queue to be sent, and finally packing said queue in a preset mode to form a data packet and sending the data packet, the solution improves the flexibility of channel image information extraction, so that a user can select a single channel or multiple channels according to requirements. In addition, by sorting the channel image information according to an extraction order, the transmission efficiency is improved; and by means of a preset packing mode, the integrity and accuracy of data are ensured. In the present application, on the basis of existing MIPI interfaces and protocols, selective data extraction and low bandwidths are used during encoding and transmission by a front-end sender and during back-end decoding to implement efficient and low-power-consumption image data transmission, thereby meeting requirements of wearable devices such as AR glasses and headsets and VR glasses and headsets.

The invention provides a synchronous sampling type single-pixel imaging system and image reconstruction method based on DLP projection, and the method comprises the steps: constructing an orthogonal coding pattern sequence based on a pattern library, dividing the coding pattern sequence into different pattern segments, each pattern segment comprising at least one frame of pattern, and distributing a pattern number for each pattern; loading the coding pattern sequence to a DLP control module, and projecting the coding pattern sequence to a target object; starting a data acquisition card through a trigger signal to perform integral sampling on a light intensity signal acquired by a photoelectric detector to obtain an effective light intensity value corresponding to the pattern number; according to the collected pattern number and the corresponding light intensity value, estimating sampling energy distribution of each region of the pattern; identifying a low coverage area with energy lower than a threshold value, and generating a pattern rescheduling set; and carrying out fusion averaging on the repeatedly sampled pattern light intensity values, giving a higher weight to the sampling value of the corresponding pattern, and reconstructing a target pattern through a weighted back projection algorithm.

A method comprising emulating (401) an implementation of a post-processing process of an SL-HDRx system before applying a pre-processing process of the SL-HDRx system using input color components of a current sample of a current picture up to a computation of at least one intermediate chroma component; determining (402, 404) that a value of the at least one intermediate chroma component is higher than a maximum chroma component value depending on a calculation precision set in the implementation of the post-processing process; applying (403, 405) a correction process on the input color components to obtain corrected color components for the current sample respecting at least a clipping prevention condition responsive to the value of the at least one intermediate chroma component is higher than the maximum chroma component value.

An audiovisual system with a shared image-processing procedure and a method for processing video therein are provided. The audiovisual system performs the image-processing procedure on a specific format video for optimizing images of the video. If a video format is not supported by the image-processing procedure in the audiovisual system, the video is converted to a video format supported by the audiovisual system. Various videos of different formats can accordingly share the same image-processing procedure. In the method, a first format conversion procedure is performed for converting a received second format video to a first format video that is supported by the image-processing procedure performed in the audiovisual system. The first format video can then be processed by the audiovisual system. It is determined if one more format conversion is required according to the format supported by a display at an output end of the audiovisual system.

An image processing method, executed by an electronic device and comprising: performing object detection on an image to be processed, so as to determine a pixel-region of interest in the image to be processed; performing color temperature value estimation on the basis of a non-pixel-region of interest other than the pixel-region of interest in the image to be processed, so as to determine an estimated light source color temperature value of the image to be processed; on the basis of the estimated light source color temperature value of the image to be processed and historical light source color temperature values of reference images, determining a white balance gain for the image to be processed, wherein the reference images and the image to be processed are acquired by a same image acquisition device, the reference images comprising at least one of K image frames acquired by the image acquisition device before the image to be processed, and K being a positive integer; and, on the basis of the white balance gain for the image to be processed, performing color correction at least on the pixel-region of interest in the image to be processed.

The invention discloses an image processing method, a color picking device and a storage medium, and relates to the technical field of image processing, and the disclosed image processing method comprises the steps: obtaining a to-be-processed image, and dividing the to-be-processed image into a plurality of sub-processed images; determining a white balance parameter corresponding to each sub-processed image; according to the brightness of each sub-processing image, carrying out differential processing on the white balance parameter corresponding to the corresponding sub-processing image; and carrying out white balance adjustment on colors corresponding to the sub-processed images sent to the display equipment based on the white balance parameters after differential processing. The technical problem of low image processing quality caused by the phenomena of local color cast and detail missing of the image when a global white balance parameter is adopted for adjustment of the existing image is solved, local color cast of the whole image can be eliminated through the technical scheme, meanwhile, image details are reserved, and the image processing quality is improved.

Provided are a color correction matrix optimization method, an electronic device, and a medium. The method includes performing correction processing on a color source matrix of an acquired color chart image based on a color correction matrix to obtain an output color matrix; determining a global hue error and a saturation constraint regularization term based on Lab coordinates of the output color matrix and Lab coordinates of a target color matrix of a target color chart image and constructing a loss function; and updating the color correction matrix based on a value of the loss function until the value of the loss function converges to obtain an optimal color correction matrix to perform color correction on a to-be-processed image based on the optimal color correction matrix.

An image processing apparatus performs a process including acquiring first image data, calculating a white balance value used for an automatic white balance adjustment according to the first image data, performing an automatic white balance adjustment on the first image data according to the white balance value to generate image data after a first correction, calculating a first luminance in the image data after the first correction by adding a color difference component to a luminance, and detecting a first region including a pixel having the first luminance higher than a first threshold value, calculating a correction degree of color information of a pixel included in the first region in the image data after the first correction, according to the first luminance, and correcting the color information of the pixel included in the first region in the image data after the first correction, according to the correction degree.

An image processing circuit includes a receiver, at least one memory, a recognition circuit, a calculation circuit and a compensation circuit. The receiver is configured to receive a current image frame and a plurality of previous image frames. The at least one memory is configured to store the plurality of previous image frames. The recognition circuit is configured to select a first previous image frame or a second previous image frame among the plurality of previous image frames from the at least one memory. The calculation circuit is configured to calculate a compensation value for the current image frame according to at least one of the first previous image frame and the second previous image frame by referring to a lookup table (LUT). The compensation circuit is configured to modify a current image data of the current image frame by using the compensation value.

The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Embodiments of the present application provide a layer synthesis method and device, electronic equipment and storage medium, the method comprising: obtaining a second layer, a blank layer and a plurality of first layers, the second layer being a layer that has undergone specific processing, the level of the second layer being between the levels of the plurality of first layers, the level of the blank layer being the same as the level of the second layer, and the color value of the pixel points in the blank layer being a preset value; performing synthesis processing on the plurality of first layers and the blank layer to obtain a first synthesis layer; and performing superimposition processing on the first synthesis layer and the second layer to obtain a second synthesis layer. When specific processing is required for an intermediate layer, a plurality of layers can be synthesized.

An image processing apparatus comprises a receiver (201) for receiving an image signal which comprises at least an encoded image and a target display reference. The target display reference is indicative of a dynamic range of a target display for which the encoded image is encoded. A dynamic range processor (203) generates an output image by applying a dynamic range transform to the encoded image in response to the target display reference. An output (205) then outputs an output image signal comprising the output image, e.g. to a suitable display. The dynamic range transform may furthermore be performed in response to a display dynamic range indication received from a display. The invention may be used to generate an improved High Dynamic Range (HIDR) image from e.g. a Low Dynamic Range (LDR) image, or vice versa.

This invention discloses a differential VGA signal decoding and display device, relating to the display field. It includes a signal input module, an ESD protection module, a differential receiving module, a synchronization separation module, an image decoding driver module, a display module, an audio processing module, and a control module. These modules are interconnected and work together to decode, process, and display differential VGA signals. This differential VGA signal decoding and display device solves the problems of short transmission distance, weak anti-interference capability, limited resolution, and high power consumption associated with traditional VGA interfaces. It also achieves full compatibility with traditional VGA devices, integrating audio processing, local playback, intelligent signal enhancement, and remote monitoring and management functions. It achieves reliable conversion from analog to differential signals, supports high-definition display, and has a transmission distance of up to 50 meters, while maintaining full compatibility with traditional VGA devices. This technology is particularly suitable for professional fields such as industrial automation and medical imaging, meeting the diverse display and intelligent operation and maintenance needs of professional scenarios.

A method includes obtaining a single frame image from a multi-frame processing pipeline and obtaining a hardware image signal processing (HWISP) reference image. The method also includes obtaining luma components of the HWISP reference image and luma components of the single frame image. The method further includes generating a gain curve based on data distributions of the luma components of the HWISP reference image and the single frame image and applying respective gains to the luma components of the single frame image to obtain modified luma components. In addition, the method includes obtaining chroma components of the single frame image, applying a saturation gain to the chroma components of the single frame image based on the gain curve and the luma components of the single frame image to obtain modified chroma components, and combining the modified luma components and the modified chroma components to generate a final image.

The invention provides a distortion and chromatic aberration combined pre-compensation method and system and MR head-mounted display equipment. The distortion and chromatic aberration joint pre-compensation method comprises the following steps: acquiring a first image to be compensated and gaze point information of a user; determining a first distortion compensation table about a first color and a first pixel color shift table of at least one second color relative to the first color according to the gaze point information; and respectively processing the first image according to the first distortion compensation table and each first pixel color offset table so as to obtain a second image which completes the joint pre-compensation. In this way, high-quality visual output can be achieved with low cost, and the optimal visual effect at different observation angles is achieved.

The present disclosure relates to a color card generation method, an image processing method, apparatuses, and a readable storage medium. The method includes: transferring first standard colors in a first color display standard into colors in a second color display standard, to obtain a first color set; performing channel separation on the second standard colors in the first color set, to acquire color components of the second standard colors respectively in a target color channel; adjusting the color components of the second standard colors respectively in the target color channel, to obtain a second color set; and generating a target color card in the second color display standard, according to the second color set, wherein, the target color card is used for implementing a target effect.

The embodiment of the invention provides an image processing method and device, head-mounted display equipment and a storage medium, and belongs to the field of image processing. The method comprises the following steps: in response to an acquired to-be-processed image, acquiring a target saturation factor of the to-be-processed image; according to the target saturation factor, a pre-stored brightness control matrix and a unit matrix, constructing a target saturation matrix of the to-be-processed image; constructing a target color correction matrix according to the target saturation matrix and a pre-stored color correction matrix; and correcting the color cast of the to-be-processed image and adjusting the saturation of the to-be-processed image according to the target color correction matrix. According to the technical scheme provided by the embodiment of the invention, the saturation adjustment of the image can be realized without adding an additional hardware saturation adjustment module, so that the universality is higher, and the power consumption and the total cost of equipment are reduced.

The application is suitable for the image technical field, and provides an image processing method, an image processing device and a display system. The image processing method comprises the following steps: storing pixel information of a target pixel point corresponding to a first input image in a plurality of input images, wherein the first input image is at the end of at least one of a first refreshing direction and a second refreshing direction, and a second input image to be spliced and output exists; the target pixel point comprises a boundary pixel point spliced and output with the first input image in at least one of the first refreshing direction and the second refreshing direction; based on the pixel information of the target pixel point, each first input image is spliced and processed with the corresponding target pixel point to obtain an expanded image, and each expanded image and a third input image in the plurality of input images are spliced and scaled to obtain a target image. The embodiment of the application can reduce the occupation of storage resources.

The invention provides an autonomous vehicle with a video camera that merges images taken a different light levels by replacing saturated parts of an image with corresponding parts of a lower-light image to stream a video with a dynamic range that extends to include very low-light and very intensely lit parts of a scene. The high dynamic range (HDR) camera streams the HDR video to a HDR system in real time—as the vehicle operates. As pixel values are provided by the camera's image sensors, those values are streamed directly through a pipeline processing operation and on to the HDR system without any requirement to wait and collect entire images, or frames, before using the video information.

Embodiments of the invention provide an image processing method and device, and a storage medium. The method comprises the steps of determining a color distance between an initial color of a pixel in a to-be-processed image and a to-be-removed target color; determining a brightness value of the pixel; determining the retention degree of the initial color of the pixel according to the brightness value and the color distance; and for the to-be-processed image, adjusting the pixel according to the retention degree of the initial color of the pixel. The retention degree of the initial color of the pixel is determined on the basis of the color distance between the initial color and the target color of the pixel and the brightness value of the pixel, and the pixel is adjusted on the basis of the retention degree of the initial color, so that any target color can be removed, and smooth transition of the color is realized; and the flexibility and practicability of image color removal are improved.

This application provides a high dynamic range HDR video processing method, an encoding device, and a decoding device. In the method, a mode used by an HDR video may be determined on an encoder side according to a quality assessment algorithm. The method includes: obtaining dynamic metadata of an Nth HDR video frame according to a dynamic metadata generation algorithm; calculating a tone-mapping (tone-mapping) curve parameter of the Nth HDR video frame based on the dynamic metadata of the Nth HDR video frame; generating a tone-mapping curve based on the curve parameter; determining, according to a quality assessment algorithm, distortion D' caused by the tone-mapping curve; comparing D' and DT, to determine a mode used by the Nth HDR video frame, where the mode is an automatic mode or a director mode, and DT is a threshold value; and determining metadata of the Nth HDR video frame based on the determined mode used by the Nth HDR video frame.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

A color correction method for filter-less pixels is disclosed. In one embodiment, an image sensor, having a pixel array, includes a plurality of filter-less pixels. Each pixel of the plurality of filter-less pixels includes a blue light region, a green light region, and a red light region. Incoming light successively passes through the blue, green and red light regions, and a readout circuitry, configured to receive color signal outputs comprising blue region signals from the blue light region, green region signals from the green light region, .red region signals the red light region, and correct color signal outputs with a correction algorithm, including a blue light correction algorithm, a red light correction algorithm, and a green light correction algorithm, The method is configured to output corrected color signals provided by the correction algorithm.

An image processing method and related apparatuses are provided. The method includes: converting colors of pixels of a foreground image into optical signals under a second color display standard to obtain a first optical signal set; converting the optical signals in the first optical signal set according to the conversion coefficient to obtain a second optical signal set; converting colors of pixels of the background image into optical signals under the second color display standard to obtain a third optical signal set; fusing optical signals in the second optical signal set and the third optical signal set based on a light transmittance of the foreground image to obtain a fourth optical signal set; and converting optical signals in the fourth optical signal set into colors in the second color space to obtain the fused image of the foreground image and the background image.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

The application discloses an image sharpening and enhancing method in cataract diagnosis screening, belongs to the field of image enhancement, and aims to improve the quality of cataract diagnosis screening images. The method first collects images to construct a cataract diagnosis screening image dataset, then extracts optimal illumination components and reflection components by using an interactive separation module based on structure perception through structure response distillation and a joint optimization target strategy, and then enhances the illumination components by using an illumination component structure adjustment module and improves the details of the reflection components by using a reflection component high-frequency residual enhancement module, integrates all the modules to construct an image enhancement model, and finally inputs the dataset into the model to output high-resolution cataract diagnosis screening images.