2166results about "Color signal processing circuits" patented technology

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.

Methods and systems are described for 3D modeling and visualization of a patient's facial structure and features for dental treatment planning.

A method is provided for generating a dynamic image object (DIO), comprising: generating a synthetic image from a first image and a second image; storing the synthetic image within a DIO; and generating a display image based on the DIO and a viewing parameter.

Embodiments of the present application disclose an ambient light compensation method and apparatus, an electronic device, a storage medium, and a program product. The method comprises: capturing an ambient image in response to the distance between an object and a distance sensor being less than a preset threshold; determining an original light color and a color cast value of current ambient light on the basis of color information in the ambient image, wherein the color cast value represents a color distribution state of the original light color in a color gamut; on the basis of the original light color and a preset target light color of target ambient light, determining a compensation light color corresponding to the current ambient light; determining light brightness adjustment parameters on the basis of the compensation light color and the color cast value; and on the basis of the light brightness adjustment parameters, using the compensation light color to perform light compensation on the current ambient light.

The invention belongs to the technical field of video processing, and particularly relates to a monitoring video enhancement method for a farm, which aims to solve the technical problem of low quality of an enhanced video in the prior art, and comprises the following steps: S1, processing each frame of image in a monitoring video sequence frame by frame; s2, distinguishing a target animal area from a background area, and identifying and generating an artifact mask; s3, aiming at the background area, carrying out key smoothing processing on the artifact position to inhibit the artifact; s4, for the image of the target animal area, performing adaptive nonlinear enhancement on the brightness component, and performing color correction on the chrominance component; s5, performing pixel-level fusion on the enhanced target animal area and the background area; and S6, spreading the information of the previous frame to the current frame by using the forward optical flow field, and carrying out weighted fusion on the information of the previous frame and the current frame. According to the method, the target bred animals, the background areas and the artifacts are accurately distinguished, so that refined and differentiated processing of pictures is realized.

The embodiments of the present invention relate to the technical field of image processing. Disclosed are a color video generation method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring a video to be processed, wherein the video to be processed comprises at least one depth map; for each depth map, performing noise diffusion on the depth map by means of a diffusion model, so as to obtain a noise map corresponding to the depth map, wherein the noise map is used for indicating semantic information and depth information of the depth map; and inputting the video to be processed into a color video generation model to generate a corresponding color video, and introducing the noise map that has been encoded by a noise encoder to perform global semantic control on a color video generation process, so as to obtain the color video, wherein the color video comprises at least one color map, and each color map corresponds to one depth map in the video to be processed. The present invention solves the problems in the prior art of the cost being relatively high and the color video generation accuracy being not high.

It is attempted to acquire appropriate images in a case where multiple types of images are generated on the basis of an output of a light reception sensor. A signal processing device according to the present technology includes a signal processing section that performs signal processing on at least one image in multiple types of images generated on a basis of an output of a light reception sensor in which pixels having light receiving elements are arrayed two-dimensionally, and a control section that controls a signal processing parameter in the signal processing section such that modes of the multiple types of images become appropriate.

A method of generating a color mapping table for correcting color of a display panel, including: establishing a sampling point space, according to first color coordinates of a plurality of sampling points in a first color space; and performing steps of a preset processing on each of the plurality of sampling points, to obtain target color coordinates of the sampling point in the first color space, and generating the color mapping table according to the first color coordinates and the target color coordinates of the plurality of sampling points, where the steps of the preset processing on each of the plurality of sampling point include: taking the sampling point as a source sampling point, and determining a target sampling point corresponding to the source sampling point; and processing the target sampling point, to obtain the target color coordinates.

A system and method for mapping colors of a color calibrated image or video are provided. An image or video may first be color calibrated. The colors appearing in different areas of the image or video may then be compared to one or more selected target colors to determine if color values of the colors appearing in the image or video are within a selected color value tolerance of the target color. If areas of the image or video are within the tolerance, those areas may be visually delineated from other areas to display one or more mapped color areas within the image or video.

A system, method, and computer program product are provided for exchanging images. In use, one or more images are received at a server. Additionally, the one or more images are analyzed. Further, image processing code is outputted referencing the one or more images, based on the analysis of the one or more images. Additional systems, methods, and computer program products are also presented.

Disclosed is a system comprising data repository(ies) and server(s) configured to: access, from data repository(ies), a first three-dimensional (3D) model of a virtual environment and a second 3D model of a real-world environment; combine the first 3D model and the second 3D model to generate a combined 3D model of an extended-reality (XR) environment; perform occlusion culling using the combined 3D model, to identify a set of virtual objects that occlude real object(s) in the XR environment from a perspective of a viewpoint; and send, to display apparatus(es), a virtual-reality (VR) image representing the set of virtual objects and information indicative of portion(s) of a field of view that corresponds to the real object(s) that is being occluded by the set of virtual objects from the perspective of the viewpoint.

The invention discloses a real-time video processing system based on an ampere-path FPGA. The real-time video processing system comprises an SD card, an ampere-path FPGA board card and an HDMI displayer. The SD card is used for storing original video data in a Bayer format; the A-path FPGA board card comprises an FPGA end and an ARM end, the FPGA end comprises an SD card reading control module, an image cache FIFO module, a Bayer-to-RGB module, a seven-in-one image processing module, an SDRAM read-write control module and an HDMI display control module, the first four modules are connected in sequence, and the SDRAM read-write control module is connected with the Bayer-to-RGB module, the seven-in-one image processing module and the HDMI display control module; wherein the ARM end comprises a Cortex-M0 processor core, an AHBLiite-Interconnect data bus and all peripheral interfaces, and all the modules are connected in sequence; the ARM end comprises a Cortex-M0 processor core, an AHBLiite-Interconnect data bus and all the peripheral interfaces; the ampere-path FPGA board card is used for completing all video processing functions; and the HDMI display outputs the processed video. The method is good in video processing effect, low in resource consumption, high in flexibility, high in stability and low in hardware cost, and the hardware is 100% localized.

A drive-through vehicle inspection system with a method for acquiring information from markings on tire sidewall surfaces of a moving vehicle. As the vehicle passes through the inspection system, sets of colored light sources, disposed at different relative orientations on opposite lateral sides of the vehicle, illuminate each passing wheel, enabling optical imaging systems associated with the opposite lateral sides of the inspection lane to acquire color images of the illuminated tire sidewall surfaces. Acquired color images are passed to a processing system and separated into individual red, green, and blue color channels for image processing. The processed output from each color channel is recombined by the processing system into a synthesized grayscale image highlighting and emphasizing markings present on the tire sidewall surfaces for evaluated by an OCR algorithm to retrieve tire identifying information.

The invention relates to the technical field of computer vision and image processing, and discloses a low-light image enhancement method based on a conditional diffusion model and an attention mechanism. The method comprises the following steps: converting an input low-light image and a normal-light image from an RGB color space into an HVI color space, and decomposing the HVI color space; obtaining a brightness component and a horizontal and vertical component; performing iterative brightness recovery on the obtained brightness component through a conditional diffusion model to obtain an enhanced brightness component; performing color preservation and local and global detail enhancement on the obtained horizontal and vertical components through a residual attention module to obtain enhanced horizontal and vertical components; and synthesizing the obtained enhanced components into an HVI image, converting the HVI image back to an RGB image, and finally obtaining an enhanced image. According to the method, the problem that an enhancement algorithm in the prior art is not easy to obtain a local detail which is fully reserved, the color is kept undistorted, and the generalization ability is improved to adapt to images under different conditions is solved.

In some embodiments, a grain analysis system is configured for analyzing a first video frame and outputting respective first film grain information for film grain that is included in the first video frame or configured for analyzing a second video frame and outputting second film grain information. At least one of a grain removal system and a grain synthesis system is included. The grain removal system is configured for removing the film grain from the first video frame using the first film grain information to generate a third video frame corresponding to the first video frame with film grain removed. The grain analysis system is separate from the grain removal system. The grain synthesis system is configured for synthesizing film grain for the third video frame using the first film grain information or the second film grain information. The grain analysis system is separate from the grain synthesis system.

The invention provides an intelligent frame interpolation and fluency improvement system and method for video content, and relates to the technical field of video processing, the system comprises a preprocessing module, a frame extraction module, a frame analysis module, a frame interpolation module, a fusion module, a post-processing module, a fluency optimization module and the like, and the preprocessing module carries out denoising, color correction and brightness equalization on a video; the frame extraction module extracts frame sequence features by using a deep convolutional neural network; the frame analysis module calculates inter-frame similarity and a motion vector; the frame interpolation module generates an interpolation frame based on deep learning; the fusion module fuses the interpolation frame and the original frame; the post-processing module performs edge smoothing and frame rate adjustment; according to the system, the video fluency can be effectively improved, the sawtooth phenomenon is reduced, the frame rate is dynamically adjusted according to the equipment performance and the user requirement, and the high-quality video playing experience is achieved.

The invention discloses a data processing method, device and system, and relates to the technical field of video or image processing. And the encoder obtains the basic layer data, the enhancement layer data and the metadata of the first image, and encodes the basic layer data, the enhancement layer data and the metadata to obtain a code stream. And the decoder receives and analyzes the code stream to obtain the basic layer data, the enhancement layer data and the metadata of the first image. And the decoder determines and converts target data (namely basic layer data and enhancement layer data or an image obtained by combining the basic layer data and the enhancement layer data) according to conversion information carried by the metadata. Therefore, the decoder determines and converts the target data according to the conversion information carried in the metadata, so that the conversion performed on the target data is matched with the target data, and the decoder converts the target data by adopting the conversion information matched with the target data. Therefore, the dynamic range of the image obtained through conversion can better adapt to the dynamic range supported by the display device, and the display effect is improved.

The invention relates to a multi-unmanned aerial vehicle cooperative positioning method and system for target tracking. The method comprises the steps of determining a first relative position parameter between an unmanned aerial vehicle and a target object under a local coordinate system based on a received color image and a depth image; based on the state parameters of the unmanned aerial vehicles, establishing a dynamic model suitable for the multi-unmanned aerial vehicle system; obtaining a position change parameter through the VIO to determine a relative displacement measurement value between the unmanned aerial vehicles; the relative distance between the unmanned aerial vehicles is measured through UWB and is filtered, and a second relative position parameter between the unmanned aerial vehicles is determined; establishing a Kalman filter based on the first relative position parameter and the second relative position parameter, and estimating the relative position between the unmanned aerial vehicles; and enabling the unmanned aerial vehicle to selectively fuse measurement data of neighbors, and cooperatively estimating the positions of the unmanned aerial vehicle and the target object by using an event-triggered DKF method. Compared with the prior art, the method can overcome the problem of positioning dependence in a complex environment, and improves the reliability of the collaborative surrounding target.

The invention relates to a special effect real-time generation method, device and system in virtual shooting, and the method comprises the steps: displaying a first image shot by an image collection device in a display device of terminal equipment in a virtual shooting process; the first picture comprises a virtual scene displayed in a screen and a real scene in front of the screen; in response to an operation of adding a special effect to a target object in the real scene, adding a target special effect corresponding to the target object in the first picture in real time, and generating a second picture; and displaying the second picture in a display device of the terminal equipment. According to the method and the device, the target special effect is added in real time in the picture shot by the image acquisition device, the special effect generation efficiency can be effectively improved, meanwhile, the special effect production cost is effectively reduced, and the economical efficiency is higher.

The invention provides a method and a device for generating an inter-frame color-imitating pattern in FRC. The method comprises the following steps: determining a color depth difference value between a color depth to be displayed and a color depth of a display screen; wherein the to-be-displayed color depth is higher than the color depth; according to the color depth difference value, determining the size and the type of the color-imitated pattern, and screening out a key type from the types; according to the color depth difference value, the color-imitating pattern corresponding to each key type is divided, and a plurality of basic patterns are obtained; determining a reference pattern from the basic pattern, dividing the reference pattern to obtain a plurality of unit patterns, and transforming and splicing the unit patterns to obtain a color-imitating pattern of each frame; wherein the number of the reference patterns is the same as that of the key types. According to the scheme, the chip area occupied by the stored color-imitated patterns is reduced, meanwhile, more kinds of color-imitated patterns can be flexibly generated, and the color shaking effect is improved.

An electronic device is provided that includes one or more image sensors configured to capture a video feed, an image signal processor configured to perform color correction on the captured video feed based on a brightness level computed from the captured video feed and / or based on a color temperature or illuminant type of the lighting in the captured video feed to generate a corresponding color corrected video feed using a first chromatic adaptation model that is adapted to an immersive viewing condition, and one or more displays configured to output the color corrected video feed. The electronic device can further include a recording pipeline configured to record a version of the captured video feed and can share or transmit the recorded content to an external device. The external device can display the recorded content using a second chromatic adaptation model that is adapted to a non-immersive viewing condition.

There is provided an information processing apparatus to make it possible to confirm color tone and the like of a captured video at a time point before capturing a virtual video on a display by a camera. The information processing apparatus includes: a rendering unit (520a) that generates a virtual video by performing rendering using a 3D model used in an imaging system that captures, by a camera (502), a video on a display (505) that displays the virtual video obtained by the rendering using the 3D model; and a video processing unit (33) that performs, on the virtual video generated by the rendering unit, actual-imaging video conversion processing for generating a simulation video by using a processing parameter that achieves a characteristic of luminance or color at a time of imaging by the camera used in the imaging system.

Embodiments of this application provide a method method for transforming data and a related device. The method includes: obtaining an input image, wherein the input image includes N pixels, Nis a positive integer; performing a nonlinear transformation on values of the N pixels to obtain N first pixel values; obtaining, according to a quantized model and the N first pixel values, M second pixel values, wherein M is a positive integer; performing a reverse transformation corresponding to the nonlinear transformation on the M second pixel values to obtain M third pixel values; determining, according to the M third pixels values, an output image.

The present disclosure provides an image enhancement processing method and apparatus, a device and a storage medium, which relate to the field of artificial intelligence technology, especially to the field of cloud computing technology. The specific implementation scheme is: in response to an input image read, obtaining a color space corresponding to the input image and all color pixels of at least one color component in the color space; determining sharpened pixel values respectively corresponding to pixel positions of all the color pixels; determining smoothed sharpened pixel values respectively corresponding to all the pixel positions based on the sharpened pixel values respectively corresponding to the pixel positions of all the color pixels; obtaining a to-be-coded image corresponding to the input image according to the smoothed sharpened pixel values respectively corresponding to all the pixel positions.

The invention relates to a film and television filter lamp effect application method and device, equipment and a medium, and the method comprises the steps: obtaining a filter template correspondingly set based on film and television description information, the filter template being used for defining a filter effect applied by a film and television work corresponding to the film and television description information; configuring original lamp effect data of an atmosphere lamp according to the filter template, and obtaining filter lamp effect data applying a filter effect; and controlling an atmosphere lamp to play a corresponding atmosphere lamp effect according to the filter lamp effect data, so that the atmosphere lamp effect presents a filter effect. Through the technical means, the visual style of the movie and television can be copied in batches and presented in real time in an atmosphere lamp system in a low-cost and high-precision manner for the first time, so that immersive experience of the movie, namely the atmosphere, is really realized.

The invention discloses a color restoration method and device for a multi-color-temperature mixed light source scene, equipment and a medium, and the method comprises the steps: dividing a to-be-restored image into a plurality of image blocks, and calculating the white balance gain offset value of each image block; all the white balance gain offset values are corrected based on the scene change coefficient, and each target white balance gain offset value is obtained based on the proportionality coefficient and the corrected white balance gain offset values; calculating target CCM saturation based on the proportionality coefficient and the color temperature value of the white balance block in the image block, and determining a target CCM based on the target CCM saturation and the calibration CCM; correcting the corresponding image block based on each target white balance gain offset value; and performing color restoration on the corrected image block by using the target CCM. According to the method, the local white balance gain and the dynamic CCM are used for performing color rendition on the image blocks, color temperature areas do not need to be distinguished, meanwhile, the real-time performance and the effect of color rendition are guaranteed, and the user experience is improved.

The disclosed embodiments relate to a video processing method, device, equipment and storage medium. The method comprises: obtaining three-dimensional reconstruction data of a video image and a first texture image corresponding to the current moment, determining that the target pixel position on the first texture image corresponds to the target brightness at the current moment according to the mapping relationship between the pixel position and the initial brightness and the brightness change rate obtained in advance, adjusting the brightness of the target pixel position on the first texture image to the target brightness, obtaining a second texture image, and mapping the second texture image to the video image based on the three-dimensional reconstruction data to obtain a target video image. In this way, the same pixel position on the video image can present different textures and brightness at different moments, and different pixel positions on the video image can present different textures and brightness at the same moment, thereby achieving a flowing and flickering texture effect on the video image, thereby improving the interest of the video.

The invention provides a color enhancement method and electronic equipment, and relates to the technical field of image processing. After an electronic device receives a video stream, scene detection can be performed on a current image in the video stream to determine whether the current image and a previous frame of image belong to the same scene. Under the condition of belonging to the same scene, the electronic equipment can directly take the color adjustment parameter corresponding to the previous frame of image as the color adjustment parameter corresponding to the current image, so that the color adjustment parameter matched with the scene of the current image can be quickly determined. And under the condition that the current image does not belong to the same scene, the electronic equipment determines a color adjustment parameter matched with the scene of the current image. Afterwards, the electronic device enhances the color of the current image by using the color adjustment parameter corresponding to the current image, thereby realizing real-time enhancement of the image color, realizing accurate and rapid determination of the color adjustment parameter, and ensuring the color enhancement effect, thereby ensuring the display effect of the video.

The invention relates to an image processing method and device, equipment and a storage medium. The image processing method comprises the following steps: acquiring a current color temperature acquired by a color temperature sensor from a current shooting environment; comparing the current color temperature with a plurality of reference color temperatures to determine a target reference color temperature, and determining a first color gain value under the current color temperature according to a target reference color gain value under the target reference color temperature; obtaining the current brightness collected by a brightness sensor from the current shooting environment; determining a target color interval where the current brightness is located, and adjusting the first color gain value according to a compensation adjustment coefficient and a set adjustment weight of the target color interval to obtain a second color gain value; and performing image processing on a current image acquired in the current shooting environment according to the second color gain value. According to the method provided by the invention, the image processing flow is simplified, the debugging flow is simpler and more convenient, the time cost is reduced to a certain extent, and the processing efficiency is further improved.

Methods and systems are described for 3D modeling and visualization of a patient's facial structure and features for dental treatment planning, comprising generating a 3D skull model representative of a patient's facial bone structure from 3D skin model of an outer surface of the patient's head.