1253results about "Color signal processing circuits" patented technology

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

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 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.

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.

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.

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.

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 invention relates to the technical field of photoelectronics, in particular to an ambient light compensation method and device, biological information acquisition equipment and a storage medium, and aims to improve the accuracy of ambient light compensation. The method comprises the steps that when the distance between an object and a distance sensor is smaller than a preset threshold value, an environment image is shot; based on color information in the environment image, determining an original light color and a color cast value of the current environment light; based on 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 a light brightness adjustment parameter based on the compensation light color and the color cast value; and performing light compensation on the current ambient light by adopting the compensation light color based on the light brightness adjustment parameter. Since the ambient light is directly compensated instead of adjusting the bottom color of the image, a model does not need to be trained, and various different ambient lights can be accurately compensated.

A non-transitory computer-readable storage medium stores executable instructions that, when executed by a processor, cause performance of operations comprising operations to access an image captured by an image sensor, obtain a transfer function for mapping pixel values, determine a faces indication that reflects a proportion of a scene depicted in the image that includes one or more human faces, and modify the transfer function based on the faces indication. Modifying the transfer function based on the faces indication comprises adjusting a gain of the transfer function to move the gain closer to unity. The operations include to apply the transfer function to pixel values of the image to produce a tone mapped image and output the tone mapped image.

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.

The invention discloses a color adjustment method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a plurality of virtual content colors represented by multi-level color gradation values generated on the basis of a virtual making tool, and respectively outputting the plurality of virtual content colors to a display interface; generating a first color lookup table according to a plurality of shooting colors obtained by shooting a picture on the display interface by using the target shooting device; a plurality of virtual content colors are traversed based on the first color lookup table, a second color lookup table is generated, and one element in the second color lookup table represents a mapping relation between an output color obtained after color correction is carried out on one shooting color and the shooting color; and based on the second color lookup table, adjusting the target shooting color and the target virtual content color in the process of manufacturing the target content by using the virtual manufacturing tool. The technical problem that the accuracy of color adjustment in the virtual manufacturing process is low is solved.

The invention discloses a chromaticity automatic gain control method and device for a composite video signal, and belongs to the technical field of signal processing, and the method comprises the steps: obtaining a chromaticity signal adjusted by a historical chromaticity gain parameter, and demodulating the chromaticity signal from the chromaticity signal to obtain a chromaticity component reference value of a color synchronization signal; calculating an actual color synchronization level and a phase deviation between an input color subcarrier and a local color subcarrier according to the color difference component reference value; in response to the chroma phase deviation meeting a preset chroma phase locking condition, generating a chroma phase locking identifier, and calculating a chroma gain error according to the actual color synchronization level; and determining a chrominance gain control stable identifier according to the chrominance gain error, and determining an output chrominance gain parameter based on the chrominance gain control stable identifier, the chrominance phase locking identifier and the chrominance gain error so as to dynamically adjust the next line of gain through closed-loop control. According to the invention, the influence of long-distance cable transmission on the composite video chrominance signal can be reduced, and the chrominance difference of different transmission distances is reduced.

The invention provides a mixed light source white balance method, device and equipment and a computer readable storage medium, and the method comprises the steps: for any frame of scene image of a mixed light source scene, determining the 3d distance between a target pixel point in the scene image and each illuminant in a plurality of illuminants in the mixed light source scene; determining a white balance parameter when each luminous body independently acts in the mixed light source scene; and traversing each pixel point in the target pixel points, and executing the following operation: determining the corresponding white balance parameter of the pixel point in the mixed light source scene according to the 3d distance between the pixel point and each luminous body and the white balance parameter when each luminous body independently acts in the mixed light source scene. According to the method provided by the invention, the white balance parameter can be accurately and effectively adjusted for the mixed light source scene, so that the quality of the display effect is improved.

The invention relates to the technical field of scene prediction, in particular to a vehicle scene prediction method, and provides the following scheme: a vehicle-mounted end collects vehicle end data and vehicle control data, a cloud end receives and generates a predicted scene video stream, and a cabin end performs color adjustment and image quality evaluation after receiving the predicted scene video stream. And adjusting a display queue according to an evaluation result and generating vehicle control data. In the color adjustment process, motion compensation, color distortion processing and secondary local compensation are performed based on the vehicle control data so as to improve the color consistency and space-time coherence of the prediction frame. Image quality evaluation is based on multi-color space feature extraction and a nonlinear regression network, quality scores are output in real time, and remote control decisions are guided. And the cloud end generates a continuous and high-quality prediction scene video stream by combining light stream prediction with self-motion compensation and shielding repair, so that low-delay and high-stability remote vehicle control is realized.

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.

There is provided an information processing device, an information processing method, and a recording medium that enable high quality images to be displayed on a display. The information processing device includes a display control unit that reflects a correction corresponding to a post-process for a shot image shot by a camera for shooting a display to display of a display image on the display based on at least one of a position of the camera, an attitude of the camera, and a shooting condition. The present technology can be applied, for example, to a shooting system used in virtual production, in which a subject is shot with an image displayed on an LED display as a background.

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.

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

The invention belongs to the technical field of polarization image processing and display, and discloses a color polarization image enhancement system and method in a dark environment. The method comprises the following steps: firstly, inputting a color polarization intensity image in a dark environment into a preprocessing module, and carrying out preliminary brightening, denoising and color correction to obtain a preprocessed color polarization intensity image; then, the preprocessed color polarization intensity image is input into an enhancement module to be processed, and an enhanced Stokes parameter image is obtained; and finally, inputting the enhanced Stokes parameter image into a resolving module to obtain an enhanced color polarization result image. According to the invention, while the polarization information of the color polarization image is kept, the color polarization image in the dark environment is enhanced, so that the problems of insufficient brightness, low contrast ratio and fuzzy details caused by environmental reasons when the color polarization camera shoots the image in the dark environment are solved; and the identification degree and the information processing capability of the observer on the target object in the polarization image are improved.

An image processing method and apparatus, an electronic device and a storage medium. The method comprises: in response to receiving a first color adjustment instruction, processing a preset image on the basis of a first color adjustment algorithm which matches the first color adjustment instruction so as to obtain a first image, wherein mapped color values obtained from the preset image on the basis of input color values are the same as the input color values; mapping color values in the first image to an original image to be processed to obtain a mapped original image in such a way that the mapped original image presents a color effect that matches the first color adjustment instruction.

The invention relates to the technical field of image processing, in particular to a white balance correction method for performing color temperature estimation by reconstructing a scene spectrum, and the method comprises the steps: obtaining a module spectrum response curve and color statistical data of a scene; reconstructing scene spectral distribution by using a least square method according to the module spectral response curve and the color statistical data, and calculating a color temperature estimated value according to the reconstructed scene spectral distribution; performing white balance correction by using the color temperature estimation value, if the color temperature estimation value is a preset color temperature value, reading a gray block RGB value corresponding to the color temperature, calculating G / R and G / B, and performing white balance correction; and if the color temperature estimation value is located in two adjacent preset color temperature value intervals, carrying out linear interpolation calculation, determining G / R and G / B values after interpolation, and carrying out white balance correction according to the G / R and G / B values. Therefore, the problems that in the prior art, spectral information is not fully utilized for white balance correction, and it is difficult to accurately correct color deviation and restore real colors in a complex illumination environment are solved.

A display method and apparatus are provided, and relate to the field of electronic technologies, to reduce vision damage caused by long-time use of an electronic display by a user. The display method is applied to an electronic device. The electronic device includes a display. The display method includes: first obtaining environment information; then determining display information of ambient light based on the environment information; and then adjusting display luminance and a display color temperature of the display based on the display information of the ambient light. The environment information includes luminance of the ambient light and a color temperature of the ambient light; and the display information includes a luminance range corresponding to the luminance of the ambient light and a color temperature range corresponding to the color temperature of the ambient light.

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.

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.

An electronic apparatus performs a method of decoding video data, comprising: receiving, from bitstream, video data corresponding to a coding unit, wherein the coding unit is encoded in inter prediction mode or intra block copy mode; receiving a first syntax element from the video data, wherein the first syntax element indicates whether the coding unit has any non-zero residuals; in accordance with a determination that the first syntax element has a non-zero value: receiving a second syntax element from the video data, wherein the second syntax element indicates whether the coding unit has been encoded using adaptive color-space transform (ACT); in accordance with a determination that the first syntax element has a zero value: assigning the zero value to the second syntax element; and determining whether or not to perform inverse ACT on the video data of the coding unit in accordance with a value of the second syntax element.

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.

The embodiment of the invention discloses a video processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of video processing, and the method comprises the steps: judging whether a to-be-played video meets a preset image quality enhancement condition or not at a decoding stage of the to-be-played video; if the image quality enhancement condition is satisfied, carrying out resolution enhancement on the to-be-played video; performing local color monitoring on the enhanced to-be-played video to obtain a monitoring result; and performing local color enhancement or dynamic frame insertion processing on the video to be played according to the monitoring result. Therefore, the display effect of the low-resolution video can be remarkably improved in the decoding stage, improvement is carried out in the aspects of resolution, color, frame rate and the like, parameters such as resolution, color, frame rate and the like are dynamically adjusted, and the display effect of the low-resolution video is improved.

Techniques of estimating surface normals and reflectance from poorly-lit images includes using, in addition to an RGB image of a subject of a set of subjects, an image illuminated with near-infrared (NIR) radiation to determine albedo and surface normal maps for performing an image relighting, the image being captured with the NIR radiation from essentially the same perspective from which the RGB image was captured. In some implementations, a prediction engine takes as input a single RGB image and a single NIR image and estimates surface normals and reflectance from the subject.