41 results about "Color consistency" patented technology

This invention discloses a method, system, device, and storage medium for generating camouflage images, belonging to the field of computer vision and image generation. It employs a hierarchical automatic annotation method based on a large visual language model to obtain camouflage image annotation data, guiding the process through a three-level annotation workflow: online batch processing, offline supplementation, and manual review, outputting structured results. Based on a diffusion model framework, it integrates two types of feature enhancement modules—texture prior and color adaptation—to construct a generative model. After training with annotation data, it inputs the camouflage image to be restored, constraining texture consistency and aligning global color consistency through the two modules respectively, thus completing the generation and restoration of the camouflage image. This method for generating and restoring camouflage targets, combining semantic pairing, texture prior, and color consistency, along with its accompanying dataset, can be widely applied to camouflage target image synthesis, camouflage target detection enhancement, augmented reality, and other technical directions.

This invention provides a remote sensing image information reconstruction method based on isoluminance constraints and color structure control. The method inputs a registered target image, a reference image, and a mask file marking missing regions. Utilizing spatial information outside the missing regions in the target and reference images, a color structure consistency constraint is constructed to solve for partially missing pixels in the target image's missing regions. The target image and mask file are updated based on the solved partial pixels. Combining the information corresponding to the missing regions in the updated reference image, the isoluminance and gradient weights of the pixels to be identified within that region are calculated. An isoluminance equation is constructed based on the calculated isoluminance and weights, and the reconstructed image is obtained by solving the equation, thus achieving the repair of missing regions in the remote sensing image. This invention is the first to propose calculating isoluminance based on weighted gradient values ​​of each pixel in each direction, forming an image isoluminance network, constructing an isoluminance equation to solve for pixels in missing regions, and improving reconstruction accuracy through color consistency constraints.

The application discloses an event camera-based power inspection image overexposure repair and enhancement method, which performs adaptive slice integration on an event stream driven by a structure information entropy model, realizes cross-modal accurate alignment of event slices and synchronous frames in combination with optical flow motion compensation, and thus obtains a physically reliable event structure priori. On this basis, the priori is used to guide overexposure mask optimization and a texture joint network to repair, and local frequency adaptive enhancement is performed to highlight defect features. In this way, texture distortion and structure artifacts caused by irreversible loss of information in the overexposure area can be effectively overcome, the repaired image realizes structure continuity and color consistency at the overexposure boundary, defect details are restored with high fidelity and visually enhanced, and finally the quality of power grid safe operation and maintenance is ensured.

The application provides a compensation light mixing method of a color temperature adjustable lamp, and relates to the technical field of illumination control, and comprises the following steps: in a factory detection stage, a first LED lamp string and a second LED lamp string are caused to emit light together at a middle color temperature grade, a compensation LED lamp string is not connected, and a basic light mixing color point is detected; the compensation LED lamp string is connected in at least two candidate compensation states, and a compensation light mixing color point is detected; a target compensation grade is determined according to the basic light mixing color point, the compensation light mixing color point and a black body locus reference point; the target compensation grade is solidified as a compensation connection parameter; and in a use stage, a switching unit controls the compensation LED lamp string to be connected to a current loop according to the compensation connection parameter. According to the method, the compensation connection parameter can be determined according to the factory detection result, and the light color consistency at multiple color temperature grades is improved.

The present disclosure provides a method for image color correction, a training method and device of a neural network model. The method comprises: obtaining an original image and an enhanced image corresponding to the original image, the enhanced image being obtained by image enhancement on the original image; and generating a color offset tensor based on the original image and the enhanced image, the color offset tensor being capable of being used for correcting the color of the enhanced image; generating a multi-scale color consistency loss function based on the original image, the enhanced image and the color offset tensor; and updating the neural network model based on the multi-scale color consistency loss function to obtain a trained neural network model. Thus, by training an end-to-end neural network for correcting color distortion of an image generated in an image enhancement process, the color distortion problem of an output image of a current deep learning image enhancement model is overcome.

This invention discloses a gradient metering standard color masterbatch and its application method, belonging to the field of plastic color matching technology. Addressing the problems of poor dispersibility of traditional color masterbatches, difficulty in adapting customized color masterbatches to matching parts with color differences, and serious pollution from pigment processing, this invention first prepares micro-volume color masterbatches with a diameter and length ≤1mm, enabling uniform dispersion with a single color addition of 0.5% or more. It also establishes a gradient metering color masterbatch library, setting the pigment content in 500g of color masterbatch according to a geometric progression, achieving a micro-color adjustment capability of 0.01g / 100kg. During color matching, a color masterbatch of corresponding concentration is selected based on the target pigment usage. The addition amount is accurately calculated using the formula: weight = target usage / concentration × 500, allowing for the mixing of multiple color masterbatches. This invention combines the flexible fine-tuning capability of pigments with the cleanliness and stability of color masterbatches, completely eliminating pigment pollution, eliminating shear force interference, significantly improving color consistency between complex components, and adapting to intelligent manufacturing.

The application provides a kind of laminated glass and its manufacturing method and vehicle, including glass component, functional layer and patch structure, glass component includes the first glass, first intermediate layer, second intermediate layer and second glass arranged in layers;Functional layer is arranged between first intermediate layer and second intermediate layer, and functional layer includes the visible edge portion protruding from first intermediate layer;Patch structure includes the first patch layer arranged around visible edge portion, and the second patch layer arranged around first intermediate layer, and the thickness of second patch layer is less than the thickness of first intermediate layer.The application forms thickness gradient between first intermediate layer and second patch layer, and second patch layer can provide deformation and stress compensation space, forms local arc stress during high temperature and high pressure bonding, so that the stress distribution on visible edge portion becomes smooth and uniform, inhibits optical display abnormality caused by local stress concentration, weakens or eliminates color frame defects, improves the color consistency of laminated glass, and significantly improves the aesthetics of laminated glass.

A head up display (HUD) system for a vehicle includes a vehicle windshield including a coating applied thereto, and a HUD projector adapted to project an image onto an inner surface of the windshield of the vehicle, wherein, the coating applied to the windshield provides different reflectivity characteristics for different color components of the projected image, and the HUD projector is adapted to individually calibrate a polarization of each of the different color components of the projected image to maintain consistent brightness and intensity characteristics within the image reflected from the inner surface of the windshield.

Embodiments of the present application provide a kind of MR equipment color correction method and related device, it is related to mixed reality technical field, the method comprises: obtaining target image to be displayed;Obtain the frequency domain data related to light source environment of the target image;In the case where it is determined that discrete spectral light source environment and continuous spectral light source environment exist in the target image according to the frequency domain data, the target image is regionally segmented, and discrete spectral light source region, continuous spectral light source region and transition region are obtained;The image corresponding to each region is respectively sampled to carry out color correction on the color correction model of preset;Display the target image after color correction.The target image is segmented, and different color correction parameters are used for correction for the different light source environment images segmented, effectively solve the color consistency problem of MR equipment under complex light source environment, provide more immersive and natural mixed reality experience for user.

The application discloses a radar spraying tool and a radar spraying system. The tool comprises a base and a cover plate. The base is provided with a plurality of grooves. The cover plate is provided with a plurality of openings corresponding to the grooves. The shape of the groove corresponds to the shape of the shell of the radar probe. The groove is used for accommodating the radar probe. The surface of the radar probe is exposed to the groove. The surface of the radar probe comprises adjacent first and second surfaces. The shape of the opening corresponds to the shape of the first surface. The cover plate is combined with the base so that the first surface of the radar probe is exposed to the opening and is sprayed. Therefore, the radar spraying tool can expose the surfaces of a plurality of radar probes to be sprayed to the opening through the cover plate, so that the spraying quality and color consistency of the first surface of the radar probe can be ensured during spraying. Other positions of the radar probe except the first surface are closed by the cover plate and the groove, so that paint mist in the spraying process can be reduced or avoided from entering other positions or elements except the exposed surface, and the quality of the radar probe is improved.

The present application relates to a kind of high light removal method and system of face image based on regional hierarchical processing, belong to digital image processing technical field.It includes the following steps: obtaining face image and generating face target area mask, image is converted from RGB color space to LAB color space in limited area, and overexposure and near overexposure area are divided based on brightness threshold value;Fill in repair is carried out to overexposure area using the statistical characteristics of near overexposure area on brightness and color difference channel;Further generate highlight area mask according to brightness distribution, calculate dynamic adjustment coefficient, and adaptively update brightness and color difference channel in highlight area, finally the repair result is converted back to RGB color space and output, effectively remove the high light of face and keep natural skin color.The present application can effectively retain face details and color consistency while suppressing overexposure highlight, improve the naturalness and robustness of the result of removing highlight.

This invention proposes an enhancement method, apparatus, medium, and device based on underwater degraded images. By combining local feature modeling of image patches and global feature modeling of graph neural networks, it solves the problems of excessive local enhancement and global imbalance in underwater image enhancement. Through processing the cosine similarity matrix, the information transmission capability between image patches is further improved, achieving high-quality enhancement of underwater images. The enhancement method based on underwater degraded images can effectively restore details in underwater images, improve color consistency and brightness balance, and is particularly suitable for complex underwater environments.

The application relates to a lamp color calibration method, device, controller and medium. The method comprises the following steps: performing feature extraction on original light spot images corresponding to each target lamp in a light-on state, determining color space data corresponding to each original light spot image, obtaining initial color change values corresponding to each color space data, performing compensation processing on each color channel corresponding to each target lamp according to the initial color change values, obtaining channel correction coefficients of each color channel corresponding to each target lamp, sending the channel correction coefficients of each color channel corresponding to each target lamp to lamp controllers of the target lamps respectively, and instructing the lamp controllers to perform color consistency calibration. The method can use the light spot images corresponding to each lighting lamp in the light-on state as the input of the lamp color calibration, so that the color consistency calibration result of each lighting lamp is more consistent with the actual scene, and the accuracy of the color consistency calibration result is improved.

This invention discloses an optical device with low glare and high spatial color consistency, including a reflector, a lens, and a light source module. The lens is positioned above the light source module, and the reflector is positioned above the lens. The light-emitting surface of the lens has a planar structure, and an arc-shaped protrusion is located in the middle of the light-intake surface. Several toothed rings are located on the outer side of the protrusion. This design allows for a smaller light-emitting angle, resulting in higher light-emitting efficiency. It also reduces the overall thickness of the lens, saving material costs and allowing the optical device to be controlled in a smaller volume, thus enabling applications in a wider range of scenarios.

The application provides a kind of optical perspective augmented reality system color characterization method, by the full field of view measurement of different ambient light conditions and OST AR virtual stimulus color, the mathematical relationship between the virtual display color that AR display should output and human eye perceived color and ambient light is established, the mathematical relationship can describe how AR display adjusts its color output under different light conditions to compensate for the influence of ambient light on the final perceived color, so as to improve the accuracy and consistency of color reproduction, that is, the application aims to correct the nonlinear influence of ambient light on AR virtual display content through the nonlinear mixing compensation model of ambient light measurement and OST AR virtual stimulus color, correct the human eye perceived color deviation of OST AR device under complex lighting environment, improve the color consistency of OST AR display under lighting environment and the color restoration ability of OST AR system under different lighting conditions, realize more natural virtual-real fusion effect.

The application discloses a display screen dynamic splicing control system, and relates to the technical field of display screens, which comprises a parameter acquisition module, an image processing module, an image evaluation module, an image adjustment module, a region division module and a depth adjustment module. The parameter acquisition module is used for acquiring display parameters of the display screen. The image evaluation module is used for evaluating the display effect of the display screen and comprises a brightness evaluation unit, a color evaluation unit and a comprehensive evaluation unit. The region division module divides a plurality of sub-regions into foreground regions and background regions. The brightness and color consistency of the display screen can be adjusted to ensure the unity and coordination of the display content of multiple screens, improve the visual effect, and divide the foreground and background regions through the depth threshold value to enhance the stereoscopic visual effect of the image, highlight the foreground objects and increase the background depth. In combination with the screen quality score, the accuracy of the depth adjustment is optimized, and the overall viewing experience and visual effect are further improved.

This invention proposes a high-fidelity color-changing method and system for fabric images based on adaptive texture adjustment. Unlike traditional methods that directly overlay the target color with the texture image of the fabric to be changed, this method fully utilizes the original color and texture features of the fabric image. First, it predicts the brightness adjustment factor of the fabric to be changed in conjunction with the target color. Then, it adjusts the brightness image of the fabric to be changed using the brightness adjustment factor. Finally, it fuses the adjusted brightness image with the target color to obtain the color-changed fabric image, achieving high-fidelity color-changing of fabric images with adaptive texture adjustment for different target colors. Experiments show that this invention significantly outperforms existing methods, demonstrating that the fabric color-changing results are superior in terms of color consistency and visual realism, validating the effectiveness and application potential of the proposed method.

This invention provides an optical element and a lamp. The optical element includes a light-incident section, a light-emitting section, and a reflector. The light-emitting section is arranged opposite to the light-incident section. The reflector connects the light-incident section and the light-emitting section, and together with the light-incident section and the light-emitting section, forms a mixing cavity. The reflector has a reflective surface. The interface between the reflector and the light-emitting section is inclined. After light enters the mixing cavity from the light-incident section and is mixed, part of the light exits from the light-emitting section, and the other part is reflected by the reflector to the interface and then enters the light-emitting section before exiting. Compared with the prior art, the optical element of this invention not only effectively improves optical efficiency and light color consistency, but also makes the assembly and maintenance of the lamp more convenient.

This application proposes an image processing method, apparatus, electronic device, and storage medium. The method includes: obtaining a first layer of a target interface to be displayed by a target application, wherein the first layer is determined based on an initial layer of the target interface rendered by a graphics processing unit (GPU) in the electronic device; performing color compensation on the first layer according to color compensation information corresponding to the GPU; and displaying the target interface according to the color-compensated first layer. By performing color compensation on the first layer according to the color compensation information corresponding to the graphics processing unit, a color-compensated first layer corresponding to the target interface to be displayed on the electronic device is obtained, so that the color-compensated first layer has color consistency, thereby achieving color display consistency of the target interface on different electronic devices and improving the visual effect.

This disclosure provides a display panel and a display device. The display panel includes a substrate, multiple light-emitting groups, and at least one black matrix. The multiple light-emitting groups are disposed on one side of the substrate, each light-emitting group comprising multiple light-emitting units of various colors spaced apart from each other, arranged along a first direction or a second direction. The first light-emitting unit is the largest light-emitting unit in the first direction within the light-emitting group, and includes at least two sub-light-emitting units spaced apart along the first direction. The black matrix is ​​disposed on the side of the light-emitting group away from the substrate, and includes at least one first light-shielding strip extending along the first direction, whose orthographic projection overlaps with the orthographic projection of the first light-emitting unit. This disclosure reduces the size of individual sub-light-emitting units by dividing the first light-emitting unit, thereby reducing the proportion of light-shielding units obstructed by the light-shielding strip, mitigating brightness decay at small / medium viewing angles, improving color shift, and simultaneously ensuring privacy protection in the second direction, thus balancing privacy protection and display color consistency.

This invention discloses a high-resolution image enhancement method and system based on multi-scale feature fusion, belonging to the field of image processing technology. Multi-scale feature extraction generates images at four scales; an improved residual network is used to extract features and upsample them; cross-scale feature fusion is performed by fusing features through skip connections and channel attention mechanisms to compress dimensionality; detail enhancement and noise suppression are processed in blocks and targeted enhancement, filtering, and residual fusion are applied; super-resolution reconstruction involves sub-pixel convolutional amplification, regularization, and cropping; quality assessment and optimization are performed, and parameters are adjusted iteratively to optimize when performance targets are not met, before outputting the final result. This invention enhances high-resolution images effectively, preserving more details, reducing noise, maintaining color consistency, adapting to various scenarios, balancing efficiency and quality, and demonstrating strong practicality.

The application discloses a kind of camera color consistency calibration methods based on machine vision, it is related to computer vision field, including, the original RAW format image data of current scene is collected, and according to the pixel distribution of original RAW format image data, construct two-dimensional pixel coordinate matrix;Sinusoidal position coding processing is carried out to two-dimensional pixel coordinate matrix, and the coding feature map of the position change law of the characteristic of pixel space position relationship and position is obtained;Coding feature map and original RAW format image data are fused with pixel alignment, and position constraint fusion feature is obtained, and position constraint fusion feature is input into pixel-level space color response analysis network, and the spatial non-uniform color response feature in original RAW format image data is extracted, and the correction gain coefficient matrix corresponding to each pixel is obtained.The application realizes the fine modeling of pixel space position and response non-uniformity, and eliminates the local color deviation of wide dynamic scene.

The application relates to a camera technical field, in particular to a black light-transmitting material manufacturing method and application thereof, which comprises the following steps: step 1, preparing a toner formula, wherein the toner formula comprises PC / PS organic light diffusion powder 30-35%, MP90 light diffusion powder 30-35%, toner diffusion oil 0.5-2% and EB-FF diffusion powder 30-35% according to weight percentage, and the toner formula is adjusted to 20g of toner according to the above weight percentage; the problem of black appearance matching is solved, light transmission is not too dark, lamp color consistency can hide light sources and dazzling light sources, the whole resin can emit softer, more beautiful and elegant light, a comfortable effect of light transmission and non-transparency is achieved, the application is suitable for a camera in front of a display screen, the application will not cause harm to the eyes of a user, the black light-transmitting material can transmit white light, so that the lamp beads cannot be seen, and the overall color is coordinated.

The application provides a frequency adaptive Transformer-based underwater image enhancement method, and belongs to the technical field of underwater image processing and computer vision technology.The method constructs a frequency adaptive attention module, performs frequency decomposition on features, uses low-frequency components to model global structure information and illumination and color consistency, and enhances overall color and brightness recovery capability; high-frequency components are used to represent texture details and edge structure, and to strengthen detail and boundary information. After the low-frequency components and the high-frequency components are modeled in the frequency domain, respectively, joint optimization is realized through frequency reconstruction, so that complementary learning is realized between global color correction and local detail enhancement. With the support of a multi-scale coding-decoding network structure, the method can adapt to complex degradation modes in different underwater scenes, effectively improve the color naturalness and structure clarity of the enhanced image, and can be widely applied to the front-end processing of underwater image enhancement and related underwater visual perception tasks.

The application discloses an atmosphere lamp color automatic calibration method and system, and belongs to the field of atmosphere lamps. The method calibrates all light sources in the atmosphere lamp through RGB single-channel full-range current calibration, realizes fixed temperature compensation and dimming calibration; on the basis of the RGB single-channel full-range current calibration, the method realizes one-key detection of light color of a multi-color atmosphere lamp module by collecting target color coordinate optical data of each target light source in the atmosphere lamp through parallel multi-channel LIN communication; and further, the method realizes light color consistency of the atmosphere lamp by synchronously calibrating all target light sources in the atmosphere lamp according to the collected target color coordinate optical data.

This application provides a method for extracting the foreground edge of a green screen based on edge sharpening processing. First, the original image is acquired and the background and foreground are determined, generating a first mask for initial separation. Edge regions are marked and assigned affixation labels based on the first mask, and color gradient changes and consistency features are calculated to provide a basis for identifying abnormal pixels. An abnormal pixel set is formed by filtering edge pixels under dual conditions to determine the correction target. Reference pixels are filtered based on spatial distance and texture matching, and weighted correction weights are determined to provide an accurate basis for filling. Abnormal pixels are filled using the local color mean and weighted weights to generate a second mask, forming a mask with higher color consistency. The second mask is fused with the target virtual background image; if the boundary gradient change exceeds the limit, feathering is used to eliminate boundary abrupt changes. Finally, the fused image is verified; if continuity is not met, neighborhood interpolation is used for adjustment, and the final image is output, repairing local anomalies and completing the background replacement loop.

This application provides a driving circuit and a display device. The driving circuit includes an attitude angle detection module and a timing controller. The attitude angle detection module is connected to the display panel and is used to detect the current attitude angle of the display panel to obtain a corresponding detection signal. The current attitude angle includes an azimuth angle and / or a pitch angle. The timing controller is electrically connected to the display panel and the attitude angle detection module, respectively. The timing controller is used to receive the detection signal output by the attitude angle detection module, determine the corresponding target white balance calibration parameters based on the detection signal, and drive the display panel to display based on the target white balance calibration parameters. The driving circuit provided by this application can ensure that the display panel maintains good color consistency under different viewing angles, thereby improving the user's viewing experience.

The application discloses a method and system for remote sensing image dodging and color uniformization, and relates to the technical field of remote sensing image processing. The method comprises the following steps: a template image containing various typical ground objects in a survey area is made, and statistical parameters of the template image in a Lab color space are calculated, the statistical parameters including mean values target_mean[] and standard deviations target_std[] of each channel; a digital orthographic image to be dodged and color-uniformized is grouped according to color consistency, and images with consistent colors and in a continuous piece are arranged in the same processing unit; for aerial images, the images are organized in units of flights and taken as processing units; for each processing unit, overall statistical parameters of the processing unit in the Lab color space are calculated based on sample images randomly selected, the overall statistical parameters including mean values source_mean[] and standard deviations source_std[] of each channel of all sample images in the processing unit; and dodging and color-uniformization conversion is performed on each image in the processing unit according to a preset formula.

This application relates to a cross-material dynamic dyeing method and system for blended textile fabrics, belonging to the field of computer technology. The method includes: acquiring surface images and a set of production process parameters of the material to be coated; extracting spectral feature parameters and anisotropic reflectance features from the surface images to obtain a fusion feature set; decoupling each fusion feature based on a preset physical material model to obtain a physical decoupling feature set; constructing a process correlation diagram based on the physical decoupling feature set and the production process parameter set; and performing multi-objective optimization based on the process correlation diagram to generate color matching scheme parameters. This application effectively decouples the interference of material optics, achieves accurate cross-material color matching, and improves color consistency and production stability.

The application discloses a display screen film, a module lamp plate and a display module. The display screen film comprises a first transparent electrode layer, a solid-state liquid crystal layer, a second transparent electrode layer, a base material main body layer and a film function layer which are sequentially stacked. At least one first electrode connecting piece is arranged on the side surface of the first transparent electrode layer. At least one second electrode connecting piece is arranged on the side surface of the second transparent electrode layer. The technical scheme can effectively improve the color consistency of the module lamp plate of the display module.