64 results about "Color processing" patented technology

The invention provides an underwater image enhancement method combining multiple color spaces and multiple scales, and belongs to the technical field of image enhancement and deep learning. The method comprises the following steps: processing an underwater image through a color processing channel to obtain color fusion features; processing the underwater image through a scale processing channel to obtain scale fusion features; and fusing the color fusion feature and the scale fusion feature of the underwater image to obtain an enhanced image. According to the method, a multi-color space and multi-scale coordinated double-coding enhancement network is adopted, different color spaces are coded through parallel residual errors in multi-color space coding, and the limitation of a single-color space method on color cast correction, color distortion processing and contrast difference is effectively solved by decoupling color and brightness information. In multi-scale coding, hierarchical feature extraction and cross-scale information complementation are adopted to capture details and texture features of an image on different scales, and blurring and detail loss at different depths can be effectively processed.

The embodiment of the application discloses an image processing method and device, relates to the technical field of image processing, and can identify and process white bottom icons, and improves user experience. The specific scheme is as follows: color information of a picture to be rendered is acquired; the color information of the picture to be rendered comprises color categories of the picture to be rendered, color values of four corners of the picture to be rendered, a proportion of non-transparent pixels in the picture to be rendered, and a proportion of white pixels in the picture to be rendered; and based on the color information of the picture to be rendered, if it is determined that the picture to be rendered is a white bottom icon, the picture to be rendered is subjected to inverse color processing.

The invention discloses a geometric processing method and system, a processor, equipment, a medium and a product, and the method comprises the steps: carrying out the first-stage geometric processing of a to-be-processed first vertex, and obtaining a second vertex; performing second-stage geometric processing on the second vertex to obtain data after geometric processing; wherein the geometric processing of the first stage is used for removing the vertexes, which do not need to be subjected to coloring processing, in the first vertexes based on a primitive removal mode, so as to obtain second vertexes; the geometric processing of the second stage is a geometric processing process aiming at the second vertex, and the geometric processing of the first stage lacks the coloring processing compared with the geometric processing of the second stage. Based on the embodiment provided by the invention, the overall performance of geometric processing can be optimized by combining staged vertex elimination and coloring processing.

The invention relates to a color processing method and apparatus, a device, a storage medium and a program product. The method comprises the steps of obtaining a first pixel value of a node in a native color gamut of a display device; performing conversion processing on the first pixel value of the node in the native color gamut based on a conversion function to obtain a second pixel value of the node in the native color gamut; wherein the matching degree between the color composition indicated by the second pixel value and the node is higher than the matching degree between the color composition indicated by the first pixel value and the node; performing conversion processing on the second pixel values of the nodes in the original color gamut based on a preset conversion matrix to obtain coordinate values of the second pixel values of the nodes in the original color gamut in a preset color space; wherein the preset conversion matrix is a conversion matrix for converting the nodes in the original color gamut from the color space where the nodes are located to the preset color space, so that the color distribution condition of the original color gamut of the display equipment is accurately evaluated, and the accuracy of converting the nodes in the original color gamut of the display equipment to the preset color space is improved.

The present application provides a kind of conditional image generation method and related device based on point rasterization, according to the environment image corresponding to target time, target point cloud set is colored processing;The target point cloud set after coloring processing is carried out front and background separation processing, to determine the dynamic foreground region and static background region therein;Combining the historical point cloud set in time window, the incomplete area is completed;Using perspective projection mapping relationship, the target point cloud set after completion is projected to the image coordinate system of vehicle, to obtain first projection image;The raster area in first projection image is rendered, to obtain the conditional image of point rasterization.It is analyzed frame by frame to original laser radar point cloud data and image plane mapping, and combined with point rasterization processing, constructs the geometric conditional image with pixel level precision, provides structure priori support for subsequent new view synthesis and controllable video generation.

The invention relates to the technical field of image processing, in particular to an image processing method, electronic equipment, a readable storage medium and a program product. The method comprises the following steps: detecting a user operation (recorded as a first user operation) for starting quick coloring in an interface of a drawing application running in the electronic equipment, displaying M frames of images recommended to a user, and further determining at least one frame of reference frame image from the M frames of images based on the selection of the user as a coloring reference. The electronic equipment can color the to-be-colored images in the multiple frames of images of the first animation in batches according to at least one frame of reference frame image selected by a user, and colored images corresponding to the multiple frames of images of the first animation are generated. Therefore, when the image sequence containing multiple frames of images (such as animation line manuscripts and the like) is colored, the coloring processing efficiency can be improved.

The application discloses a method for calculating the area of pesticide application. The method comprises the following steps: obtaining the motion trajectory of a pesticide application device, and intercepting a third trajectory located in a first area to be applied with pesticide; obtaining a radiation range according to the third trajectory and the pesticide application range, and performing color processing; calculating the area after color processing to obtain the pesticide application area, and judging the pesticide application condition in combination with a target area. In addition, after the pesticide application is completed, a trajectory point is randomly selected as a detection position, and a corresponding plant image is required to be uploaded for verification. The application solves the area calculation problem of irregular areas and overlapping spraying through a color algorithm, and realizes precise quantitative evaluation and anti-fraud supervision of the pesticide application quality in combination with a random inspection mechanism.

The invention relates to the technical field of photoelectric data processing, provides a light wave chromatography computer coding method, system and architecture based on a toning principle, and aims to break through the performance bottleneck of traditional electronic calculation. According to the method, physical-level color processing is realized through color binary coding and light wave state discrete mapping based on an optical toning principle. The system integrates a digital input interface, a wavelength coding converter, a light wave operation core and a wavelength analysis unit, and supports efficient optical signal direct operation. On the architecture level, an extended von Neumann design is adopted, a three-level Clos-WSS optical interconnection network, a photon ALU and a PCM holographic main memory are included, and femtosecond-level delay, low power consumption and high parallelism are achieved. Advantages include physical level computational accuracy, nearly zero data handling energy consumption, and large scale wavelength level parallel processing. The method is suitable for 8K video real-time color modulation, industrial sorting and other high-requirement scenes, and a subversive solution is provided for the fields of automatic driving, digital twinning and the like.

The application belongs to the technical field of machining and provides a multi-directional micro-groove structure superposition modulation structural color machining method, which comprises the following steps: determining a first interval between two adjacent first grooves to be machined according to first preset information; machining a plurality of parallel first grooves on the surface of a workpiece according to the first interval; determining a second interval between two adjacent second grooves to be machined according to second preset information; and machining a plurality of parallel second grooves on the surface of the workpiece according to the second interval, wherein the length direction of the first grooves is not parallel to the length direction of the second grooves. The application is conducive to improving the depth of the color presented by the surface of the workpiece and can also present a plurality of different colors, thereby being conducive to realizing more color levels or the display of complex color effects.

The invention discloses a color high contrast processing algorithm for four-color electronic paper, and relates to the technical field of electronic paper display technology and image processing, and the method comprises the specific steps: firstly, carrying out feature extraction, converting an original RGB image to an HSV space, carrying out the statistics of the pixel proportion of a brightness interval, screening red and yellow pixels, and calculating the feature and the proportion of four colors; a dynamic clustering center is generated; performing weighted clustering mapping to generate an intermediate image; enhancing the saturation and boundary contrast of the adaptive image in a linkage manner; and finally, modular adaptive output: selecting scheme optimization data, converting the scheme optimization data into a 2-bit format, and outputting the two-bit format after verification. According to the method, through multi-dimensional feature extraction and dynamic clustering center generation, accurate color mapping is realized, and the color rendition degree and comfort degree are improved; and through multi-factor linkage enhancement and modular adaptive output design, the display effect and hardware adaptability are considered, the detail expressive force is enhanced, the integration process is simplified, reliable data transmission is guaranteed, and the application adaptation and display quality is improved.

The invention relates to the technical field of image processing, and provides an image color filling method and device, equipment and a storage medium. The method can solve the problem of low success rate of line draft drawing in related technologies, and comprises the following steps: obtaining a line draft, obtaining a text prompt set corresponding to the line draft, adopting the text prompt, carrying out initial color filling processing on the line draft, and generating an initial image and a plurality of initial feature maps; based on the plurality of initial feature maps, extracting an initial color filling area corresponding to each cue word in the at least one cue word in the initial image, and when any initial color filling area is not matched with semantic information of the corresponding cue word, performing area division adjustment on the extracted at least one initial color filling area, obtaining a reference color filling area corresponding to each cue word in the at least one cue word; and performing target color filling processing on the line draft based on the obtained reference color filling areas, the line draft and the at least one prompt word to generate a target image.

The embodiment of the invention discloses a map processing method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a first texture map of a target three-dimensional model and target color information of a target part on the target three-dimensional model; initial map color information of a target area corresponding to the target part in the first texture map is determined, and target map color information corresponding to the initial map color information is determined based on a pre-trained color processing model; and obtaining a second texture map corresponding to the target color information based on the target map color information and the first texture map. According to the technical scheme, the problems that in the prior art, the efficiency of manually changing the color of the three-dimensional model map is low, and the accuracy and the consistency are difficult to guarantee are solved, efficient and automatic processing of color change of the three-dimensional model map is achieved, and the purposes of improving the color processing quality and speed of the three-dimensional model and improving the processing efficiency of the three-dimensional model map are achieved. And the technical effect of meeting high-quality digital content creation requirements is achieved.

An industrial camera and an image processing method, which relate to the technical field of machine vision. The industrial camera comprises a spectral sensor, an image sensor, and a processor. When the image sensor collects an original image of a photographed object, the spectral sensor collects spectral information of an ambient light source. The processor determines, on the basis of the spectral information, a target color correction matrix corresponding to the spectral information in a pre-calibrated color correction matrix database, and finally performs color processing on the original image on the basis of the target color correction matrix, and obtains a target image. By applying the solution provided in embodiments of the present application, the industrial camera can automatically acquire current spectral information of the ambient light source, and perform color processing on the original image on the basis of the color correction matrix corresponding to the spectral information to obtain the target image, thereby simplifying the adjustment process of the industrial camera.

The invention provides a rendering processing method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: determining a cut first primitive from primitives of a rendering object in an interpolation stage of rendering processing of the rendering object; for any pixel point in the first primitive, under the condition that a first attribute that a fragment shader requires to transmit an attribute value and does not need interpolation processing exists in the attributes of the pixel point, a first barycentric coordinate of the pixel point relative to a second primitive is determined, and the second primitive is a primitive corresponding to the first primitive before cutting; and sending the first barycentric coordinate and the attribute value of the first attribute of each vertex of the second primitive to a fragment shader, so that the first barycentric coordinate and the attribute value of the first attribute of each vertex of the second primitive participate in the coloring processing of the fragment shader on the pixel point. According to the embodiment of the invention, the processing deviation of the fragment shader can be reduced, and the rendering effect is improved.

The invention relates to the technical field of anti-counterfeiting, and discloses a titanium substrate nano iridescent anti-counterfeiting structural color and a composite laser processing method and application thereof, and the method comprises the following steps: providing a titanium metal substrate; the titanium metal substrate is pretreated through a wide-pulse-width laser light source, so that a self-flowing layer is formed on the surface of the titanium metal substrate; and an ultrafast laser light source is adopted to carry out scanning processing on the titanium metal substrate on which the self-flowing layer is formed according to the anti-counterfeiting encryption icon, a nano grating structure capable of extracting a period is induced, and the titanium substrate nano iridescent anti-counterfeiting structural color is obtained. According to the technical scheme provided by the invention, the quality and environmental friendliness of anti-counterfeiting iridescent structural color processing can be ensured.

The invention provides an image processing method and device and electronic equipment, and the method comprises the steps: obtaining a to-be-processed image, inputting the to-be-processed image into a feature extraction module for feature extraction, and obtaining an intermediate image feature; inputting the intermediate image features into a coloring module for coloring processing to obtain colored image features; fusing the coloring image feature and the intermediate image feature to obtain a first fusion feature; inputting the first fusion feature into a restoration module for image restoration to obtain a restored image feature; and inputting the repaired image features into a resolution enhancement module for image resolution enhancement processing to obtain a target image. The coloring image features output by the coloring module are used for processing of the restoration module and the resolution enhancement module, feature information sharing among the coloring module, the restoration module and the resolution enhancement module is achieved, and the image quality of the obtained target image is improved.

The application relates to the technical field of surveying and mapping engineering, and discloses an island reef three-dimensional real scene mapping method based on unmanned equipment, which comprises the following steps: analyzing high-resolution satellite remote sensing images to obtain a survey area sketch map, arranging ground control points to obtain high-precision geographic coordinates, planning adaptive flight routes for the unmanned equipment, collecting island reef multi-angle original image data, performing uniform light and color processing on the images to obtain a standardized image sequence, extracting a feature point set, completing multi-baseline multi-view matching, constructing a connection point network, taking the high-precision geographic coordinates as constraints, performing joint regional network adjustment by the beam method to obtain high-precision exterior orientation elements and encrypted point coordinates, performing pixel-by-pixel depth estimation based on the high-precision exterior orientation elements and the encrypted point coordinates, obtaining island reef three-dimensional point cloud data, constructing an irregular triangle network for the three-dimensional point cloud, and generating a measurable three-dimensional real scene model of the target island reef through texture mapping. The application can improve the efficiency of island reef three-dimensional real scene mapping.

The invention relates to the technical field of 3D printing, and provides a hybrid manufacturing and coloring device and a control method thereof.The hybrid manufacturing and coloring device comprises a hybrid manufacturing transmission mechanism and a hybrid manufacturing printing head, and the hybrid manufacturing transmission mechanism is used for driving the hybrid manufacturing printing head to move in the X-axis direction, the Y-axis direction and the Z-axis direction so as to conduct model printing treatment; the top coloring transmission mechanism and the top coloring head are fixedly installed on the top coloring transmission mechanism, and the top coloring transmission mechanism is fixedly installed on the conveying belt frame and used for driving the top coloring head to move in the Y-axis direction and the Z-axis direction to conduct coloring treatment on the top of the model; and the side edge coloring transmission mechanism and the side edge coloring head are fixedly installed on the side edge coloring transmission mechanism, and the side edge coloring transmission mechanism is fixedly installed on the conveying belt frame and used for driving the side edge coloring head to move in the Y-axis direction and the Z-axis direction so as to conduct coloring treatment on the side edge of the model located on the conveying belt. According to the invention, mixed manufacturing can be carried out, and different areas of a printed piece can be accurately colored.

The invention discloses a color adjustment method for a color camera, and relates to the technical field of image processing, and the method comprises the steps: carrying out the global color adjustment of an input image through a comprehensive color processing matrix formed by fusing a color correction matrix, a hue adjustment matrix and a saturation adjustment matrix, and constructing a six-dimensional hue category system; according to the method, pixels in an image are divided into six-dimensional hue categories, then local adaptive adjustment of saturation and hue is directly performed on the pixels in an RGB space based on different color dimensions, and multi-dimensional color adjustment is realized; according to the technical scheme, color enhancement with finer granularity can be achieved on the premise that the overall color relation is not damaged, excessive correction and color drift are effectively avoided, color space conversion does not need to be carried out, the problems of low calculation efficiency and color distortion caused by frequent color space conversion are solved, and the user experience is improved. And the real-time performance and the operation efficiency of overall processing are improved.

This invention discloses a chaos engineering experiment system, comprising: a traffic coloring and distribution module, a chaos engineering load balancer, and a cloud platform. The chaos engineering load balancer is communicatively connected to both the traffic coloring and distribution module and the cloud platform. The traffic coloring and distribution module receives transaction requests sent by a channel system and performs mirroring and coloring processing on the production traffic based on a preset ratio to obtain colored traffic, which is then routed to the chaos engineering load balancer. The chaos engineering load balancer receives the colored traffic and routes it to the cloud platform. The cloud platform determines the coloring request processing result corresponding to the colored traffic. Through this technical solution, by mirroring and coloring the production traffic to obtain colored traffic, and conducting chaos engineering experiments using this colored traffic, the explosion radius of the chaos engineering experiment can be effectively controlled, thereby reducing the operational risks of the experiment while ensuring the authenticity of the traffic.

The invention discloses a wave interference removing method and system based on a pseudo-color mapping improved generative adversarial network, and relates to the field of navigation and positioning. The method solves the problems of how to effectively remove noise and recover damaged polarization information caused by underwater condition interference for underwater polarization images collected in a complex underwater scene in the prior art, and the like, and comprises the following steps: constructing a mathematical model of polarized light transmission in a fluctuating water surface environment, and constructing a corresponding data set; performing pseudo-color image processing on the polarization image in the complex underwater scene by adopting an improved generative adversarial network to obtain a simulation data set of the wave interference scene subjected to pseudo-color processing; training a deep neural network, and outputting a non-interference wave polarization image; cooperatively training and improving the generated adversarial network by adopting multiple loss functions; wave polarization image recovery is realized through collaborative optimization of the generator and the discriminator, detail features of the wave polarization image are reserved, and wave interference removal of the pseudo-color mapping improved generative adversarial network is completed.

To mitigate some problems of pixel color mapping used in SLHDR type of HDR video decoding, we teach a high dynamic range video encoding circuit (300) configured to encode a high dynamic range image (IM HDR) having a first maximum pixel luminance (PB CI) with a second image (Im LWRDR) having a lower dynamic range and a corresponding lower second maximum pixel luminance (PB C2), the second image being functionally encoded as a luminance mapping function (400) for a decoder to apply to pixel luminances (Y PQ) of the high dynamic range image to obtain corresponding pixel luminances (PO) of the second image, the encoder comprising a data formatter (304) configured to output the high dynamic range image and metadata (MET) encoding the luminance mapping function (400) to a video communication medium (399), the functional encoding of the second image being further based on a color lookup table (CL(Y PQ)) encoding a multiplier constant (B) for all possible values of pixel luminances of the high dynamic range image, and the formatter being configured to output this color lookup table in the metadata, characterized in that the high dynamic range video encoding circuit comprises a gain determination circuit (302) configured to determine luminance gain values (G PQ) quantifying a ratio of output image luminances equal to a luminance position of a correct normalized luminance position divided by output luminances of luminances of pixels of the high dynamic range image, wherein the high dynamic range video encoding circuit comprises a color lookup table determination circuit (303) configured to determine the color lookup table (CL(Y PQ)) based on values of the luminance gain values for various luminances of pixels present in the high dynamic range image. Similarly, we teach how to embody the same principles in a SLHDR type of video decoder.

The invention discloses a color photovoltaic module manufacturing method and device and electronic equipment, and relates to the technical field of photovoltaic modules, and the method comprises the steps: obtaining the material information of a to-be-colored material corresponding to the manufacturing of a target color photovoltaic module; determining material adaptability information corresponding to a plurality of nozzles configured in the target equipment; based on the material suitability information and the material information of the to-be-colored material, selecting a target nozzle matched with the to-be-colored material from a plurality of nozzles; and performing color forming treatment on the material to be subjected to color forming based on the target nozzle to obtain a target color photovoltaic module. The material adaptability information of multiple nozzles in target equipment is determined, so that the equipment can process various materials; the matched target nozzle is selected based on the material information and the nozzle suitability, so that accurate matching for different material characteristics is realized; and color forming treatment is completed through the matched target spray head, and diversified printing of materials of different types and different surface characteristics is achieved.

The application discloses an interface element display method and device, electronic equipment and a readable storage medium, and belongs to the technical field of electronic equipment. The specific scheme comprises the following steps: obtaining a target color value corresponding to a target interface element in a target display mode; determining an inverse color value according to the target color value; in the case of entering the target display mode, performing inverse color processing on the target interface element according to the inverse color value, so as to display the target interface element according to the target color value.

The invention provides an offshore wind power medium-low speed unit main bearing state monitoring method and system, and relates to the technical field of wind power equipment monitoring. The method comprises the four steps of multi-source signal synchronous acquisition, signal preprocessing, fault feature extraction and fault and lubrication state diagnosis, wherein signals are synchronously acquired through multiple types of sensors according to preset parameters, and signal quality is improved through time-frequency conversion, denoising, standardization and pseudo-color processing; a POPgram method is adopted to extract fault features, and an RGB three-color square diagram is generated to realize visualization; fault classification and amplitude feature retention are realized based on improved sparse Bayesian learning and an orthogonal matching pursuit algorithm; and the multi-signal fusion is combined to realize the staged diagnosis of the lubrication state. The technical problems of multi-source data fusion, complex working condition fault extraction, lubrication state monitoring and the like are solved, the diagnosis precision and reliability are improved, the method is adaptive to multiple manufacturers and multiple models of units, the operation and maintenance time can be shortened, the cost is reduced, and guarantee is provided for safe operation of the offshore wind power main bearing.

This invention provides a method, apparatus, and device for predicting and reverse-engineering color parameters in laser processing. The method includes: performing laser color marking on a metal substrate surface using multiple laser scanning strategies, and collecting color output data under different laser parameters; constructing a 7-dimensional feature vector corresponding to the laser parameters based on the laser scanning strategies; establishing a multilayer perceptron neural network model based on the 7-dimensional feature vector, and performing a nonlinear mapping between the laser parameters and the color output data; and performing forward prediction or reverse design through the multilayer perceptron neural network model to obtain the target color value or target laser parameters. This invention significantly improves the consistency and intelligence level of laser color marking, reduces parameter trial-and-error time, improves processing efficiency and color stability, and solves the problems of poor accuracy and scalability in existing related technologies for laser color processing.

Systems and methods for improving color reproduction are described. In some embodiments, a video of a real-world scene is captured, and a screen content region is detected in the captured video. A processor selectively applies screen content color conversion on the screen content region to generate a processed video, and displays the processed video in substantially real-time, e.g., on a video see-through head-mounted display. The screen content color processing can be different for different types of external displays. The screen content color processing can also be determined based at least in part on lighting conditions. In some embodiments, the color of a displayed virtual object is adjusted based on a visual parameter of the screen content.

This invention proposes a rock thin section image segmentation method based on foreground / background divide-and-conquer and layered color processing. The method first performs color space transformation and principal component analysis (PCA) dimensionality reduction on the rock thin section image to construct a single-channel structural representation for segmentation. Then, a first global segmentation is performed based on a level set model to achieve preliminary extraction of macroscopic mineral structures. Subsequently, based on the initial segmentation results, the image is divided into foreground and background regions, and enhancement channels are selected in different color spaces for each region to perform a second-stage level set segmentation. Specifically, the background region recovers weak contrast structural information by enhancing chromaticity differences, while the foreground region improves the separation ability of fine grains by enhancing texture contrast. Finally, the two segmentation results are fused, and combined with region filtering and morphological optimization, the final rock thin section segmentation result is obtained. This method can effectively improve the accuracy and stability of rock thin section image segmentation under complex lithological conditions.

Systems and methods for improving color reproduction are described. In some embodiments, a video of a real-world scene is captured, and a screen content region is detected in the captured video. The processor selectively applies screen content color conversion on the screen content region to generate a processed video, and displays the processed video substantially in real time, e.g., on a video see-through head mounted display. Screen content color processing may be different for different types of external displays. The screen content color processing may also be determined based at least in part on lighting conditions. In some embodiments, the color of the displayed virtual object is adjusted based on visual parameters of the screen content.

The invention belongs to the technical field of remote sensing image processing, and relates to a technical scheme of a color migration method and system of a remote sensing image. The method comprises the following steps: respectively acquiring a target remote sensing image and a reference remote sensing image for the same target; joint blocking is carried out on the target remote sensing image and the reference remote sensing image to form a plurality of image block pairs, and each image block pair comprises a first image block in the target remote sensing image and a corresponding second image block in the reference remote sensing image; performing multi-scale hierarchical division on each image pair, and performing uniform color processing on each first image block of the target remote sensing image by taking the color style of the reference remote sensing image as a reference; and fusing all the first image blocks subjected to color homogenization processing to restore and obtain the target remote sensing image subjected to color migration. The technical scheme has the beneficial effects that the phenomenon that the brightness and the color of the target remote sensing image are not uniform is eliminated, and the detail information of the image and the high efficiency of calculation are kept at the same time.