127 results about "Color balance" patented technology

The invention relates to an underwater environment three-dimensional reconstruction method. The method comprises the following steps: projecting a multi-band structured light pattern in an underwater environment, and capturing an image by using a multispectral camera; fusing images of different wavebands through a spectrum matching algorithm, and extracting depth information to generate three-dimensional reconstruction basic data; a depth error caused by underwater scattering and absorption is corrected by using a depth compensation technology; generating an environment characteristic model by using real-time monitoring environment parameters including illumination, turbidity and temperature of an underwater sensor; adaptively adjusting image acquisition and processing parameters including exposure, contrast and color balance according to the environment characteristic model; detecting a distorted area caused by environment change in the image through an intelligent correction algorithm, and executing local correction and overall optimization; generating a multi-scale image pyramid, and decomposing the structure information of the three-dimensional image layer by layer from coarse to fine; and through an adaptive detail enhancement technology, carrying out refinement processing on the key area to generate an underwater three-dimensional image.

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

The invention relates to the technical field of lighting, in particular to a driving power supply control circuit, a control method and a lighting application method. Comprising the steps that an acquisition module acquires spectral data and temperature data of a current environment; the receiving module receives the target color rendering index, the target color temperature and the target illumination; the control module is connected with the acquisition module and the receiving module, and is used for calculating a PWM duty ratio needing to be compensated according to the temperature data, obtaining a target PWM duty ratio based on the current color rendering index Ra, the current correlated color temperature CCT, the current illumination and the control parameters, and outputting a PWM signal based on the target PWM duty ratio and the PWM duty ratio needing to be compensated; and independent and stable constant-current signals are finally output by using the voltage balancing circuit and the driving module. The problems that an existing LED driving power source is single in function and lacks self-adaptive control capacity and monochromatic light trailing are solved. The LED powder-free lamp can continuously and stably operate, and meanwhile, high color rendering index and dynamic light color balance are achieved.

The invention relates to the technical field of underwater image enhancement, in particular to an underwater image enhancement method based on balance, correction and deblurring and application. The balance module is cascaded by color balance and illumination balance, and the color balance performs compensation balance on RGB (Red Green Blue) color channels of the underwater image based on a white balance algorithm of red channel compensation; according to illumination balance, an improved contrast-limited adaptive histogram enhancement method is used for enhancing illumination of a low-illumination area of an underwater image, and meanwhile illumination of a high-illumination area is restrained, so that illumination balance is achieved. In the correction module, a color and illumination composite correction method combining color constancy and an illumination diagram is provided so as to correct the color and illumination of the underwater image at the same time. And in the deblurring module, the image is deblurred by adopting a multi-scale anti-sharpening mask, so that the definition of the underwater image is improved.

The invention provides an OLED (Organic Light Emitting Diode) display panel sub-pixel level color equalization compensation method and system based on a De-Mura compensation technology. The method mainly comprises the steps that a brightness industrial camera shoots brightness data of different gray scales of the OLED display panel for the first time, a brightness uniformity preprocessing process is synchronously carried out, compensation parameters are burnt into a DDIC (Double Data Integrated Circuit), whether chromaticity uniformity compensation needs to be carried out or not is selected according to the chromaticity uniformity expression after brightness uniformity compensation, and if chromaticity uniformity compensation needs to be carried out, the brightness uniformity compensation is carried out. If yes, a shot gray scale picture is determined according to the color expression condition of the OLED panel, the chroma industrial camera shoots different gray scale and chroma data of the OLED display panel for the second time, chroma data processing is carried out to obtain a compensation coefficient, the compensation coefficient acts on brightness compensation data, and therefore brightness and chroma uniformity compensation parameters are obtained; and realizing the brightness and chromaticity compensation of the OLED display panel based on the compensation parameters.

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

The invention provides a video stitching method, a video stitching device and electronic equipment. Under the condition that K current to-be-spliced images at different visual angles are obtained, for each current to-be-spliced image, the historical color compensation coefficient is determined as the target color compensation coefficient, or the historical color compensation coefficient is determined as the target color compensation coefficient. And determining the target color compensation coefficient based on the current color compensation coefficient of the current to-be-spliced image and the historical color compensation coefficient, so that the influence of the color information of the historical to-be-spliced image on the color compensation coefficient of the current to-be-spliced image is fully considered. And further performing color correction on the current to-be-spliced image according to the target color compensation coefficient of the current to-be-spliced image to obtain a target color image corresponding to the current to-be-spliced image, and splicing the target color images corresponding to the K current to-be-spliced images to obtain a target spliced image for forming a target video. And color balance in the video stitching process is realized.

The invention discloses a 360-degree panoramic image splicing method for a mining area environment. The splicing process comprises seven steps of offline calibration of cameras, online acquisition of images of four cameras, distortion correction, perspective transformation, image splicing, image enhancement processing and image display. According to the 360-degree panoramic image splicing method, through enhancement technologies such as dynamic brightness correction, histogram equalization and color balance, the brightness and the contrast ratio of the images collected under the low-light condition of the mining area are effectively improved, and the image quality is remarkably improved. And secondly, the weighted average method is adopted to carry out image stitching, so that the ghosting phenomenon in the traditional method is solved, and the stitching naturalness and precision are improved. And finally, the whole method has relatively high adaptability, can cope with dynamic changes in the working environment of the mining area, provides reliable technical support for safety monitoring of the mining area, and ensures that operators can obtain accurate visual information, so that the safety and efficiency of working in the mining area are improved.

The invention provides a high-precision urban live-action three-dimensional model generation method and system and a storage medium. The method comprises the following steps: arranging photo control points in a target area and performing measurement; acquiring inclined image data of the target area by using the unmanned aerial vehicle; acquiring original point cloud data of the target area by using a laser scanner; performing aerial triangulation calculation on the inclined image data in combination with ground control point data to obtain aerial triangulation encrypted data; registering the original point cloud data in combination with the ground control point data, and then preprocessing the original point cloud data to obtain laser point cloud data; carrying out fusion reconstruction on the aerial triangulation encryption data and the laser point cloud data to generate an initial three-dimensional model; performing fine processing on the initial three-dimensional model to generate a high-precision three-dimensional model; according to the method, water surface cavities can be automatically repaired and efficient and intelligent color homogenization can be realized when the live-action three-dimensional model is constructed, so that the geometric accuracy and visual quality of the model are effectively improved, and engineering-level application requirements are met.

The invention discloses a machine vision unit applied to a smart community intelligent security management system, and relates to the technical field of image processing, and the machine vision unit comprises an image obtaining module which obtains a real-time video stream monitored at night, and carries out the frame cutting to obtain a plurality of frames of images; the multi-frame image fusion module is used for processing the multi-frame image by using a multi-exposure fusion algorithm to generate a fused image; the self-adaptive correction module is used for self-adaptively adjusting the brightness and the contrast ratio of the fused image and carrying out detail enhancement and color correction; the image processing module is used for removing noise and enhancing details through bilateral filtering and a multi-scale Retinex algorithm; and the image post-processing module is used for performing color balance adjustment to ensure that the images are natural and consistent. Through multi-frame image fusion, adaptive correction, multi-scale detail enhancement and color balance processing, the definition, detail expression and recognition precision of the image in a night monitoring scene are remarkably improved, the adaptability and robustness of the system are enhanced, and meanwhile redundant information and resource consumption in the processing process are reduced.

A technique for generating a digital photograph comprises blending two related images, each sampled according to a different illumination environment. The two related images are blended according to a blend surface function that includes a height discontinuity separating two different blend weight regions. Color consistency between the two related images is achieved by spatial color correction prior to blending. The technique enables a digital camera to generate a strobe image having an appearance of consistent color despite discordant strobe and ambient scene illumination.

The present invention relates to the field of intelligent image splicing, and proposes an intelligent splicing method and system for electronic images based on a decision network. The method comprises: extracting feature descriptors of images to be spliced ​​using a preset convolutional neural network, and calculating feature similarity values, performing image registration using the feature similarity values, performing region segmentation using a preset clustering algorithm, extracting key feature points and calculating texture difference items, generating a splicing candidate set based on the texture difference items, and performing error detection using an automatic detection mechanism, inputting error detection records into an image splicing processing system for correction, extracting correction factors to generate a corrected image set, removing the splicing edges of the corrected image set, performing color balancing, and optimizing the splicing of images using a particle swarm optimization algorithm, and finally obtaining an optimized spliced ​​image. The present invention can improve the splicing accuracy and splicing efficiency of electronic images.

The invention discloses a camera module image calibration method, relates to the technical field of electronic data processing, and aims to solve the problems that the calibration of a camera module cannot adapt to a changeable illumination environment and the consistency of the camera module is difficult to guarantee, and the method comprises the following steps: S1, obtaining a color temperature graph from the first color temperature to the Nth color temperature of a current module, each color temperature image is divided into a * b areas in a gridding mode; s2, calculating an R / G mean value and a B / G mean value of each region according to the image data of each region of each color temperature image of the current module; s3, screening out bad modules according to R / G and B / G ratios of the current module and the corresponding area of the typical module; s4, calculating AWB data and LSC data of the camera module from the first color temperature to the Nth color temperature according to the image data of the N color temperature graphs, and storing the AWB data and the LSC data in a memory; and S5, according to the actual environment illumination condition, automatically calling the AWB data and the LSC data, calculating a correction coefficient, and using the correction coefficient to calibrate the image, the camera module image calibration method not only can calibrate the color balance under different color temperatures, but also can significantly improve the consistency between modules, especially in large-scale production, the production efficiency is greatly improved, and the production cost is reduced. And the method is particularly effective for controlling bad modules.

The invention relates to the technical field of image monitoring, in particular to an intelligent visual monitoring method and system in an extremely cold environment, and the method comprises the following steps: based on an extremely cold monitoring environment, collecting environment temperature data through a temperature sensor, measuring the wind speed and the snowfall density, and obtaining low-temperature environment state data; according to the invention, environment state data is acquired in real time, a battery charging and discharging strategy is automatically adjusted to adapt to low-temperature influence, a heating element is automatically adjusted to prevent the equipment from frosting and freezing, normal operation of functions of the monitoring equipment is ensured, and light sensitivity and exposure parameters of an image sensor are adjusted, so that the monitoring efficiency is improved. The image quality is improved, the influence of an extremely cold environment on the image quality is eliminated, the monitored data is more accurate and reliable in vision, the compression ratio is dynamically adjusted, key image data is preferentially transmitted, and the efficiency and the real-time performance of data transmission are enhanced.

The present invention relates to a method for three-dimensional reconstruction of an underwater environment. Project multi-band structured light patterns in the underwater environment, and at the same time use a multispectral camera to capture images; through a spectral matching algorithm, fuse images of different bands, extract depth information to generate basic data for three-dimensional reconstruction; use depth compensation technology to correct depth errors caused by underwater scattering and absorption; use underwater sensors to monitor environmental parameters such as light, turbidity, and temperature in real time to generate an environmental feature model; according to the environmental feature model, adaptively adjust image acquisition and processing parameters including exposure, contrast, and color balance; through an intelligent correction algorithm, detect distorted areas in the image caused by environmental changes, and perform local correction and overall optimization; generate a multi-scale image pyramid, and decompose the structural information of the three-dimensional image layer by layer from coarse to fine; through an adaptive detail enhancement technology, refine key areas to generate an underwater three-dimensional image.

The invention provides a self-supervised multi-task underwater image restoration method based on an underwater imaging model, and the method comprises the following steps: carrying out the color cast correction of an underwater image collected by an underwater robot through an adaptive color balance algorithm, and obtaining an image after the color cast correction; obtaining the transmissivity of the image after the color cast correction through a transmissivity estimation network; enabling the image after color cast correction to pass through a background light estimation network to obtain background light; enabling the image after color cast correction to pass through a clear image reconstruction network to obtain a reconstructed clear image; and the background light and the transmissivity of the reconstructed clear image are synthesized through a Jaffe-McGammery underwater imaging model, and training is carried out in a self-supervision mode to obtain a final enhanced image. According to the method, an end-to-end self-supervised learning architecture is adopted, network training can be completed without large-scale annotation of a data set, the method has the advantages of low training cost and high generalization ability, and efficient image restoration can be realized in a complex and changeable underwater environment.

The invention provides a method and a system for adaptively adjusting user interface display of mobile equipment based on ambient light, belongs to the technical field of mobile equipment display, and aims to sense changes of ambient light and dynamically adjust user interface display settings of the mobile equipment according to the changes. The environment illumination condition is accurately monitored; and the brightness, the contrast ratio and the color balance of the screen are automatically adjusted so as to ensure that a user can enjoy the optimal visual effect in any light environment. The invention aims to reduce the need of a user for manually adjusting screen settings through intelligent interface adjustment in the use environment of the mobile equipment, relieve visual fatigue and improve the reading and interaction experience of the user under different illumination conditions.

The invention relates to the technical field of engineering measurement, in particular to a hydraulic engineering measurement method and system, and the method comprises the following steps: based on a target hydraulic engineering river channel environment, in a differentiated weather state, capturing a river channel image, marking environment condition parameters in a river channel image collection process, and obtaining a reference image database; according to the method, the current image is adjusted and optimized through construction and comparison of the reference image library, the color balance and the contrast ratio of the image are improved, the image is clearer, the subsequent boundary recognition effect is enhanced, image correction and integration are carried out through image stacking and pixel point comparison and analysis on boundary data processing, and the boundary recognition efficiency is improved. According to the method, the image analysis continuity and accuracy are improved, the river channel width is calculated, the river channel length is calculated under the condition that the river channel width is considered, more accurate river channel size data are provided, and a scientific basis is provided for planning and construction of a water conservancy project.

The present invention belongs to the technical field of impeller detection, and specifically relates to a high-pressure compressor impeller visual inspection system, which realizes dynamic lighting adjustment, high-quality image capture and accurate color reproduction by introducing a reflection control module, a contrast enhancement module, an exposure correction module and a color balance module. The reflection control module adjusts the lighting angle and intensity in real time according to the material characteristics of the impeller to ensure that the light evenly covers the entire impeller surface and reduces the interference caused by high reflectivity; the contrast enhancement module and the exposure correction module work together to ensure that the image has a high dynamic range and an appropriate exposure level under different lighting conditions to avoid overexposure and underexposure; the color balance module ensures accurate color reproduction and further improves image quality. These optimization processes enable the defect recognition module to more accurately locate and classify potential defects on the impeller surface, thereby significantly improving the overall performance and reliability of the visual inspection system.

The invention provides a panoramic image processing method and device and a vehicle. A to-be-processed panoramic image is acquired; determining a plurality of first overlapping regions in the to-be-processed panoramic image based on the plurality of splicing lines of the to-be-processed panoramic image; converting a first pixel coordinate of each first overlapping region in the panoramic image to be processed into a second pixel coordinate corresponding to the first sub-image and a third pixel coordinate corresponding to the second sub-image; determining a second overlapping area, mapped on the first sub-image, of the first overlapping area based on the second pixel coordinates, and determining a third overlapping area, mapped on the second sub-image, of the first overlapping area based on the third pixel coordinates; and performing first color balance processing on the second overlapping area in each first sub-image and the third overlapping area in each second sub-image to obtain a plurality of optimized images, and splicing the plurality of optimized images to form a target panoramic image. And the accuracy of overlapping region delimiting is improved, so that the visual effect is improved.

The invention provides a low-illumination power image enhancement method, which comprises the following steps of: performing Retinex decomposition on a low-illumination image by adopting an improved UNet network, and estimating an illumination component; performing gamma correction on the estimated illumination component to obtain a corrected illumination image; and performing element-by-element division operation on the original image and the corrected illumination component to obtain an enhanced reflection component as an output image, thereby realizing low-illumination image enhancement. According to the method, the brightness, contrast and color balance of the image can be automatically adjusted, the visual effect of the low-illumination image is effectively improved, and the purpose of performing low-illumination enhancement only by inputting the low-illumination power image without external data set training is achieved; the challenges of detail loss, color distortion and the like possibly faced by a traditional image enhancement algorithm when a complex illumination condition is processed are overcome, and the efficiency and the quality of image processing are remarkably improved.

This invention relates to an underwater image enhancement method based on piecewise color balance and multi-scale enhancement fusion, comprising: calculating the average grayscale value of each color channel and selecting a reference channel; obtaining a corrected first channel and a corrected first channel; decomposing the V channel into an original base layer and three scale detail layers; obtaining an enhanced detail layer; and generating the final enhancement result. This invention designs a gain factor to compensate for information loss in other channels, reduces color loss in the color-balanced image by considering the attenuation characteristics of different color channels, thereby satisfying the gray world assumption; it helps improve transmission estimation to obtain better detail enhancement and color preservation; it can estimate transmission without calculating the dark channel, reducing halos and computational complexity; it embeds a detail pyramid in the multi-scale fusion to compensate for detail loss in underexposed or overexposed areas of the underwater image; and the contrast and detail restoration of this invention are achieved at different scales.

This invention discloses a color balancing method, apparatus, electronic device, and storage medium. The method includes: acquiring four video images captured by a surround-view camera; performing distortion correction on the four video images to obtain four target video images; wherein the four video images are ultra-wide-angle images of the target object in four directions (front, back, left, and right); performing inverse perspective transformation on the four target video images to generate four top-view images; and performing color balancing on any one top-view image based on curve fitting to obtain the target top-view. This invention achieves color balancing through curve fitting, solving the problems of poor adaptability and low robustness of existing methods, and improving the adaptability and robustness of color balancing methods.

This invention provides an image forming module and projector that can achieve a desired color balance while suppressing the complexity of control. [Solution] The image forming module of the present invention comprises a first light source that emits first light, a second light source that emits second light, a first illumination optical system that generates first illumination light from the first light, a second illumination optical system that generates second illumination light from the second light, a first light modulator that modulates the first illumination light, a second light modulator that modulates the second illumination light, a photosynthesis element, and a control device. The first illumination optical system has a first light guide element that homogenizes the first light and a first parallelizing element that parallelizes the first light. The second illumination optical system has a second light guide element that homogenizes the second light and a second parallelizing element that parallelizes the second light. The control device applies the same current value to the first light source and the second light source, and the light utilization efficiencies of the first illumination optical system and the second illumination optical system are different so that the synthesized light has a desired color balance.

A color electronic paper with a mesh filter film includes a first cholesteric liquid crystal structure unit, a second cholesteric liquid crystal structure unit, a mesh filter film, and a black-and-white switching layer unit. The first and second cholesteric liquid crystal structure units are stacked or arranged side-by-side. The black-and-white switching layer unit is located below the first or second cholesteric liquid crystal structure unit, and the mesh filter film is located between the first or second cholesteric liquid crystal structure unit and the black-and-white switching layer unit. This design overcomes the low reflectivity of cholesteric liquid crystals in the long-wavelength, wide-spectrum region, solves the problems of refresh rate, color gamut, grayscale, and cost in the field of color electronic paper, and provides excellent color balance, high contrast, and color brightness, making it a viable alternative display for print media such as newspapers and magazines.

The invention belongs to the technical field of image processing, and provides a low-illumination image enhancement method based on an HSV (hue, saturation and value) color space, which comprises homomorphic filtering preprocessing, HSV space mapping, pixel truncation linear stretching, gamma correction processing, contrast enhancement processing, saturation optimization, RGB (red, green and blue) space mapping and color balance processing. Through fusion of pixel truncation linear stretching, gamma correction processing and contrast enhancement processing, parts with extreme pixel value distribution are eliminated, the pixel values of the image in a target range are enhanced, and the brightness and contrast of the low-illumination image are improved; through saturation optimization, the naturalness of the image is kept while the color brightness is enhanced, and color distortion is avoided.

An electrophoretic display apparatus includes an ambient light sensor and a frontlight system for adaptively restoring whiteness and balancing color on the display.

The application discloses a kind of underwater image restoration pre-training-fine-tuning method, system and medium based on semantic and diffusion double prior, specific method: the basic pre-training network of shallow / deep feature extraction and double task reconstruction module is constructed;Adopting multiple degradation mode blind degradation strategy constructs pre-training dataset, trains model to extract generalization visual feature;Through embedding adapter module, fine-tune model on UIEB dataset with gradual thaw strategy, learn underwater specific illumination attenuation, color deviation distribution and scattering effect, realize cross-domain knowledge transfer;For denoising and super-resolution task embedding semantic prior module, fuse the semantic mask generated by SAM to strengthen image structure understanding;For super-resolution task, introduce diffusion prior module, play the advantage of diffusion model in complex image generation task, provide fine noise modeling and detail reconstruction capability for underwater image restoration model.The application has the advantages of maintaining color balance, restoring image details real delicate and the like.

Various implementations provide unvarnished video based on adjusting camera parameters according to environmental modeling. Environmental characteristics may be determined based on modeling a physical environment from sensor data captured via one or more sensors. For example, this may involve determining ambient light source optical characteristics, ambient surface optical characteristics, 3D mapping of the environment, user behavior, prediction of optical characteristics of light entering the camera, and the like. The method may involve determining camera parameters of an image captured via an image sensor based on environmental characteristics. For example, the method may determine exposure, gain, tone mapping, color balance, noise reduction, sharpness enhancement. The method may determine camera parameters based on user information (e.g., user preferences, user activity, etc.). The method may involve providing a transparent video of the physical environment based on the determined camera parameters.

The embodiment of the present application discloses a light source and a projection device, the light source comprising: a laser light source; a color wheel, the color wheel comprising at least two partitions, different partitions generate different primary color lights after being irradiated by the laser light source or different partitions are used to change the light path direction of the laser light source, the partition proportions are relatively balanced, and are set to a preset proportion, for improving the display frame rate. The light source provided in this embodiment sets the partition proportions of the color wheel to a relatively balanced preset proportion, so that the primary color lights corresponding to different partitions can meet the preset color balance standard after being synthesized, so that the time duty ratio of each primary color light can be more balanced when displaying the white field, thereby achieving the improvement of the display frame rate while maintaining the display effect.