33 results about "Brightness contrast" patented technology

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

The present disclosure relates to a model decimation method, device, medium and electronic equipment. The method comprises: dividing a model surface into a plurality of sub-regions; rendering the model and determining state information of each sub-region under multiple perspectives, wherein the state information comprises brightness, contrast and color; determining a decimation degree of each sub-region according to the state information; and performing a decimation operation in the corresponding sub-region according to the decimation degree. The sensitivity of the human eye to different brightness, contrast and different color wavelengths is different, and the decimation degree of each sub-region determined according to the state information can ensure the recognition accuracy of the human eye. By determining the state information under different perspectives, the accuracy of the decimation degree of each sub-region determined can be improved. In this way, the complexity of the model can be reduced while ensuring the visual experience of the user.

The application provides a complementary environment self-adaptive weighted image augmentation method. The method comprises the following steps: firstly, the brightness, contrast and saturation of a camera snapshot picture are parameterized; the light environment and the definition are analyzed, the data is normalized and is processed in grades, the obtained image parameters are substituted into a correlation function to calculate the image parameter gain weight, and another form of optimization augmentation is obtained by using shearing, rotating and translating to change the visual angle state; then, the two forms of optimization augmentation are combined to obtain the augmentation parameters of the picture, and the parameters are reversely converted to finally obtain the picture under various environment states. The method is simple in process and high in efficiency, and is a very promising method for assisting in improving the target recognition accuracy.

The invention discloses a behavior analysis video key frame extraction method and device, a medium and computer equipment, and the method comprises the steps: reading a behavior analysis video picture frame by frame, and generating a full-white reference frame with the same size as a first frame; for a non-first frame, the difference between the non-first frame and the reference frame is quantized by using structural similarity indexes (from brightness, contrast and structural three-dimensional measurement), and a bucket index is determined; and judging whether a bucket corresponding to the bucket index has a candidate key frame, if not, storing a non-first-frame picture, and if yes, discarding the non-first-frame picture. And finally, sorting the candidate key frames in all buckets in an ascending order according to bucket indexes of the buckets to obtain a final key frame sequence, distinguishing'different pictures' by simulating human eyes, automatically skipping similar frames from continuous video frames, and screening out frames capable of representing picture core changes to compress data volume and retain key information. Key frame extraction can be carried out by considering behavior semantics and time sequence dynamic characteristics, so that the performance of a behavior analysis task is improved.

The invention discloses a high-brightness large-viewing-angle top-mounted POP laminating film for a display, and belongs to the technical field of display equipment. The high-brightness large-viewing-angle upper POP laminating film for the display comprises an upper prism structure layer, a composite adhesive layer, a lower prism structure layer and a back coating layer, the prism included angle between the upper prism structure layer and the lower prism structure layer is 50 + / -4 degrees; the vertex angle of the prism cross section of the upper prism structure layer is larger than that of the prism cross section of the lower prism structure layer. A non-orthogonal design is adopted, so that a'dark area 'with fastest light attenuation avoids a corner of a'rectangular viewing angle frame' specified by a TCO test, and the brightness / contrast in the whole rectangular frame is more uniform and controllable; meanwhile, the lower prism structure layer has a better light gathering effect, the vertex angle of the upper prism structure layer is larger, the optical diffusion effect is better, the brightness is more gentle along with attenuation of a visual angle, and the problem that the brightness uniformity of the POP laminating film is insufficient is directly solved.

A display method and an electronic device. In the present application, when displaying a picture, an electronic device can acquire a capture environment illuminance of the picture, a brightness of a first grayscale of the picture in a capture environment, and the current viewing environment brightness. On the basis of the capture environment illuminance, a display screen brightness in the capture environment, and the current viewing environment brightness, the electronic device can determine a brightness of the first grayscale of the picture displayed on a display screen in a viewing environment. When displaying the picture, on the basis of the determined brightness of the first grayscale of the picture in the viewing environment, the electronic device sets a brightness corresponding to each grayscale value in the picture. In addition, the electronic device can also acquire a brightness compression curve of a high dynamic range region in the picture, and perform tone mapping on the basis of the brightness compression curve to restore the brightness contrast of pixel points in the high dynamic range region in the picture. Thus, a picture displayed by an electronic device has a higher contrast in a highlight region and is more realistic.

The invention belongs to the technical field of image processing, and discloses a driving image night vision enhancement method and system based on an atmospheric scattering model. Comprises: acquiring a night driving image; performing inversion operation on each color channel of the night driving image according to pixels to obtain an inversion image; calculating a minimum channel graph, and performing morphological opening operation on the minimum channel graph to obtain a dark channel graph; obtaining approximate transmissivity according to an atmospheric scattering model, and performing optimization to obtain corrected transmissivity; restoring the inverted image to obtain a defogged restored image; constructing a region division template, performing local denoising in a region division manner, fusing denoising results of each region, and outputting a driving optimization image; performing reverse inversion and brightness, contrast and color adjustment processing on the optimized driving image to obtain a final enhanced image; according to the method, the night driving image is effectively enhanced based on the atmospheric scattering model in combination with the morphological opening operation, and the safety and reliability of night driving are effectively improved.

A system can automatically adjust a virtual background used by a participant in a video conference to match lighting level conditions present in a foreground of a participant video stream captured at a participant device. The matching can be done by adjusting one or more virtual background parameters, including but not limited to, exposure, brightness, contrast, and ISO. In some implementations, the system can dynamically or automatically adjust the lighting levels of the virtual background based on changes that may occur to the lighting level of the foreground during the video conference.

The application discloses a kind of for white body welding line's glue quality visual detection method and system, it is related to industrial vision detection technical field, including, after white body enters welding detection station, obtain station ID, serial number and white body model, establish PLC session and load expected camera set, receive the image of glue area that multi-camera acquisition and update arrived camera set, when arrived camera set covers expected camera set and does not time out, determine effective camera and trigger controlled parallel detection;In controlled parallel detection, the image of glue area of each effective camera is carried out brightness, contrast, definition and noise self-evaluation, and generates image quality self-evaluation result.The application is realized by PLC session, expected camera set and arrived camera set that the collection control of multi-camera acquisition and detection trigger is triggered, reduces the problem that image and determination result do not match.

This application discloses a method and system for visual defect detection in surface mount technology (SMT) manufacturing, relating to the field of visual inspection technology. The method includes the following steps: acquiring characteristic information of the light response of each component on a printed circuit board (PCB); determining the lighting configuration of the area where each component is located based on the characteristic information; switching lighting conditions according to the lighting configuration within a single inspection cycle and acquiring multiple original images of the PCB; performing a fusion process on the multiple original images, including evaluating the brightness, contrast, and saturation of each pixel in the multiple original images to obtain evaluation results, assigning fusion weights to each pixel in the original images based on the evaluation results, and performing weighted fusion of the multiple original images according to the fusion weights to generate a composite image; extracting defect information of each component based on the composite image and determining defects based on the defect information. This application can accurately identify and determine real manufacturing defects, reducing false alarm rates and false negative rates.

This invention provides a wafer defect detection method, system, and electronic device, relating to the field of machine vision technology. The method fully utilizes the transformation relationship between the imaging unit and the stage to accurately stitch together strip images during wafer defect detection, thereby obtaining high-precision wafer images and improving wafer detection accuracy. Simultaneously, an improved VAE model can be used to accurately obtain the defect area of ​​the wafer under inspection based on brightness, contrast, and structural differences, enabling high-precision identification of minute defects, thus solving the problem of poor detection performance of minute defects in existing technologies.

The invention discloses a projection brightness adjusting method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a target image containing a projection picture, and dividing the target image into a projection region and a non-projection region; acquiring first brightness of the projection area, and acquiring second brightness of the non-projection area; determining a target brightness level suitable for the current projection environment according to the first brightness and the second brightness; and adjusting the picture brightness of the projection picture according to the target brightness level. According to the method, the brightness comparison between the projection area and the surrounding environment is fully considered, the actual effect of the projection picture and the ambient light intensity can be accurately distinguished by analyzing the brightness of the projection area and the non-projection area at the same time, and the brightness misjudgment caused by the change of the ambient light is effectively avoided.

The invention relates to an image tone mapping processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining YUV data of a to-be-processed image; determining a brightness compression function according to a Y channel parameter of each pixel in the YUV data; the Y channel parameter is used for indicating the brightness of an image to be processed; compressing a Y channel parameter of each pixel in the YUV data according to the brightness compression function to obtain a compressed Y channel parameter; performing data stretching on the UV channel parameter of each pixel in the YUV data to obtain a stretched UV channel parameter; the UV channel parameter is used for indicating the chromaticity of the to-be-processed image; and according to the compressed Y channel parameter and the stretched UV channel parameter, obtaining a tone mapping image of the to-be-processed image, thereby realizing compression of a brightness dynamic range, and enhancing the brightness contrast and chrominance contrast of the image.

This invention relates to the field of display screen technology, specifically to a production and testing system for a full-color composite glass substrate display screen. First, it simulates full-spectrum natural light at different times within a controlled comprehensive environmental simulation chamber, collecting optical response data. Then, it analyzes brightness and contrast characteristics, temperature drift response under temperature cycling, and establishes a light-temperature coupling model to identify sensitive areas. For high-risk areas, it conducts splicing visual continuity testing, and screens severely defective areas for accelerated aging tests. Finally, it determines the failure risk through a sealing reliability assessment model and classifies environmental tolerance into three levels based on optical performance degradation data and risk level. This system integrates multi-physics field collaborative simulation, high-precision data acquisition, and intelligent algorithm analysis to achieve comprehensive testing of the display screen's optical performance, thermal stability, splicing consistency, and sealing reliability, providing precise quality judgment criteria for different application scenarios.

The application provides a target and background brightness contrast measurement method and device, the method comprising: taking pictures of the target and the background respectively, converting the RGB value of each pixel in the target picture and the background picture into the Y value in the CIE-XYZ spectral tristimulus value to obtain a target Y value graph and a background Y value graph, dividing the target into N regions according to the target Y value graph, dividing the background into N sub-regions according to the background Y value graph, selecting a point in each sub-region of the target and the background respectively, measuring the brightness coefficient of the point through multi-angle and multiple times and calculating the average value, weighting the average brightness coefficient in each sub-region of the target and the background through area to obtain a target brightness coefficient calculation value and a background brightness coefficient calculation value respectively, and calculating the brightness contrast of the target and the background according to the target brightness coefficient calculation value and the background brightness coefficient calculation value. The application improves the accuracy of the point measurement and the area measurement of the brightness coefficient, thereby improving the accuracy of the target and the background brightness.

The present application relates to the technical field of image recognition, and particularly relates to a high-voltage breakdown point positioning method and system for insulation detection, which comprises the following steps: obtaining a high-voltage breakdown original image and a reference image; filtering out static reflection and dynamic noise based on brightness contrast and spatial neighborhood information, and identifying an arc reliable saturated area; calculating an adaptive noise baseline of a pixel; iteratively searching outward from the saturated area, and determining a ring-shaped glow area based on the adaptive noise baseline; constructing a point diffusion glow model, performing nonlinear fitting using glow area data, and obtaining model center coordinates as sub-pixel positioning results. The present application solves the positioning problem caused by arc blinding by positioning the saturated area through double confidence evaluation, constructing the glow area by using the adaptive noise baseline and iterative search, and inversely solving the pixel coordinates based on the physical model.

The application provides a style migration method for converting a landscape photo into a Chinese landscape painting style. MS‑SSIM The loss function retains high-frequency information such as edges and details, and optimizes the brightness and color of the generated image. The loss function constrains the image after style migration from the aspects of brightness, contrast and structure, so that the generated image in the style conversion can be more consistent with human visual perception.

This invention discloses a Retinex-based low-light image enhancement method, storage medium, and terminal. The method includes: enhancing the luminance channel of a first low-light image using a luminance processing module to obtain a luminance-enhanced channel; recombining the luminance-enhanced channel with other color channels to form a first enhanced image that meets luminance requirements but suffers from color degradation; processing the color degradation of the first enhanced image using a color restoration module to obtain a second enhanced image; performing supervised learning on the second enhanced image using a normal image to construct a low-light model applicable to low-light images in all scenes; and inputting the second low-light image into the pre-trained low-light model to obtain the enhanced target image. This invention applies Retinex theory to enhance brightness while preserving image texture, addressing texture degradation and color degradation in two steps, thus more effectively handling various types of degradation and improving the quality of low-light images in terms of brightness, contrast, color, and texture detail.

The invention relates to the technical field of display evaluation, in particular to a display panel negative afterimage evaluation method, which comprises the following steps of: S1, carrying out differentiation pretreatment; and S3, brightness comparison and critical value positioning: positioning to a minimum direct-current voltage value b0 in which the negative afterimage just appears, and judging the risk condition that the display panel generates the negative afterimage according to the value of the b0. According to the display panel negative afterimage evaluation method, testing can be achieved only through two pixels, the evaluation efficiency is improved by 300% or above, the brightness testing precision reaches 0.0001 cd / m, the method can be directly used for negative afterimage risk quantitative evaluation in the display panel material screening stage, and the testing material and time cost is greatly reduced. The display panel negative afterimage evaluation method can be compatible with various display panels such as an LCD and an OLED, supports self-defined tests of different gray levels and different preprocessing times, and meets diversified test requirements.

This invention discloses a method for quantitative detection of ppb-level impurity elements in ultra-high purity materials, belonging to the field of ultra-high purity material detection technology. It achieves accurate and rapid identification of lattice distortion levels in HAADF images through a self-trained, lightweight UNet algorithm model using deep machine learning. Multimodal data fusion calculation technology couples atomic brightness contrast with lattice distortion morphology characteristics for analysis, eliminating the influence of crystal defects such as dislocations and vacancies on the lattice, confirming the type and quantity of distortion points in the matrix metal, and calculating the element type and concentration, thus achieving quantitative detection of ppb-level impurity elements in ultra-high purity metallic materials. This invention establishes a novel technique for quantitative analysis and detection of trace impurities, filling the gap in the quantitative detection of ppb-level impurity elements in ultra-high purity metallic materials above 7N.

The application discloses a traffic signal lamp intelligent dimming system based on illumination and temperature sensing, and relates to the technical field of signal lamp dimming. The system comprises a setting module, an illumination sensing module and a temperature sensing module, illumination intensity data is obtained based on the illumination sensing module, illumination information items are obtained, temperature data is obtained based on the temperature sensing module, and temperature information items are obtained; a storage module creates a first brightness contrast library and a second brightness contrast library based on the data acquisition mode. The application generates a dynamic brightness interval through the analysis results of the double contrast libraries, intelligently intercepts the comprehensive brightness range according to the interactive state, synchronously introduces a time-frequency collaborative mechanism, maps the illumination / temperature level into a flicker frequency, binds the frequency with the determination time item, finally forms a brightness-frequency-time three-dimensional regulation and control cycle, and enhances the signal visibility through the dynamic brightness contrast.

The invention relates to the technical field of image analysis, in particular to a novel sony camera image debugging system and method, and the system comprises an image analysis module, a gray scale analysis module, a boundary adjustment module, a brightness adjustment module and an ISP optimization module. According to the method, the pixel gray scale level is extracted to construct the histogram to reveal the brightness contrast distribution rule, the gray scale interval proportion is calculated and compared to realize accurate quantization of the level, and the key gray scale interval is highlighted through proportion weighting, so that important details are preferentially adjusted to ensure the level fidelity; the mapping lookup table dynamically replaces and improves the gray scale distribution mapping precision to better restore the details of the dark part and the bright part, and the difference value between the peak value and the starting point extracts and corrects the gray scale boundary position to avoid the brightness imbalance caused by the edge distribution offset and ensure the continuous and balanced mapping. And in combination with linkage adjustment of exposure time white balance gain and sharpness parameters, the detail expressive force and the level transition naturalness are improved while the brightness structure reasonability is kept, and finally, details are more clear, comparison is more reasonable, and the overall visual consistency is higher.

The invention relates to the technical field of intelligent glasses picture self-adaption, and provides an intelligent glasses picture self-adaption regulation and control method and system based on ambient light, and the method comprises the steps: collecting continuous frames of display pictures, the ambient light intensity in a corresponding time period, and the eye movement data of a user through intelligent glasses, and obtaining a large amount of historical contrast data of the intelligent glasses; obtaining an ambient light label of each frame of display picture; obtaining the attention degree of each region of the continuous frames; obtaining an attention preference factor of each region in each frame of display picture, and obtaining an initial contrast ratio of each frame of display picture; acquiring brightness, contrast and detail difference quantity of each adjacent frame; constructing a light intensity-region change correlation model; obtaining an adjustment contrast ratio of each frame of display picture; and performing dynamic self-adaptive adjustment on the continuous frame display picture, and performing double-end regulation and control through a display end and a lens end of the intelligent glasses. The invention aims to solve the problem of poor effect caused by no consideration of ambient light change in the picture contrast adjustment process of the intelligent glasses.

The invention discloses an AR glasses ghosting detection method and system and a storage medium. According to the embodiment of the invention, double-scene matching, real image elimination, layered detection and multi-round screening are adopted, interference of real images on ghosting detection is eliminated through the synergistic effect of overexposure images and 18% gray images, and then through a layering strategy of local detection (aiming at ghosting high-incidence areas) and global detection (covering full images), multi-round verification of brightness comparison, area screening and the like is combined, so that the ghosting detection accuracy is improved. And automatic and accurate detection of ghosts is realized. The whole process does not need manual intervention, seamless joint with an AR glasses production line can be achieved, and the efficient detection requirement of mass production scenes is met.

The invention discloses an image generation method and electronic equipment, and relates to the technical field of terminals. According to the method, a higher color depth is used for the image containing the highlight point light source, so that the boundary between different brightness values can be weakened, the brightness transition between the area of the highlight point light source and the background is smoother, and the color band problem is reduced. Even if the brightness, the contrast ratio and the like of the image are high, no obvious color band is generated. The low color depth is used for a large number of images which do not contain a highlight point light source, and the high load caused by the high color depth in the image processing process can be reduced. In conclusion, the image quality of the game application can be improved at low load cost.

The invention relates to the technical field of vital sign monitoring, and provides a vital sign sensing method and system based on a time sequence infrared image, and the method comprises the steps: obtaining a disaster rescue scene time sequence infrared image, and carrying out the brightness contrast standardization; short-time and long-time features are separated and extracted through a dual-channel convolutional network, and a weight coefficient is calculated according to ruin temperature variance for adaptive fusion; performing multi-domain noise detection suppression and physiological signal frequency filtering reconstruction on the time sequence characteristics; the image material type is detected, and temperature attenuation is compensated based on the heat conduction parameter database; a three-dimensional space heat distribution model is constructed in combination with multi-frame information, and life body candidate areas are screened; and correlating and matching the space coordinates of the candidate positions with the reconstructed time sequence characteristic physiological signals, and outputting a sensing result. According to the method, the heat conduction attenuation effect is accurately compensated according to the ruin material distribution characteristics, and the accuracy of vital sign perception of trapped persons in a disaster rescue scene is improved.

The invention relates to the technical field of display screens, in particular to a production detection system for a full-color composite glass substrate display screen, which comprises the following steps: firstly, simulating full-spectrum natural illumination in different time periods in a controllable comprehensive environment simulation cavity, and collecting optical response data; further analyzing brightness contrast characteristics and temperature drift response under temperature circulation, and establishing a light-temperature coupling model to identify a sensitive area; carrying out splicing visual continuity detection on high-risk areas, and screening areas with serious defects to carry out an accelerated aging test; finally, the failure risk is judged through a sealing reliability evaluation model, and three-level environment tolerance grading is carried out according to optical performance attenuation data and the risk level. The system integrates multi-physical field collaborative simulation, high-precision data acquisition and intelligent algorithm analysis, realizes comprehensive detection of the optical performance, thermal stability, splicing consistency and sealing reliability of the display screen, and provides a precisely adaptive quality judgment basis for different application scenes.

A display apparatus comprises a display device capable of operating in a first mode and a second mode where an image remains visible in both the first mode and the second mode in an on-axis direction and a visibility of the image is reduced in an off-axis direction in the second mode. A control system is capable of selectively operating the display device in the first mode or the second mode and can selectively control luminance of the displayed image in the first mode based on a first function and to selectively control luminance of the displayed image in the second mode based on a second function. High image visibility can be provided for a public mode of operation while in privacy mode of operation a high visual security level may be obtained by means of controlling an image characteristic such as image luminance, contrast and white point.

Device for inspecting containers (10) for impurities (12) and three-dimensional container structures (36), comprising: - a radiation source (14), wherein the radiation source (14) is configured to emit radiation which passes through a container (10) to be examined, wherein the radiation source (14) has several spatially separated radiation zones (16), and wherein the radiation zones (16) of the radiation source (14) are configured to emit radiation of different wavelength ranges, - a detection device (20) which is designed to detect the radiation emitted by the radiation source (14) and which has passed through the container (10), and - an evaluation device which is configured to evaluate the radiation detected by the detection device (20) for contamination (12) and damage to the container (10), wherein the evaluation device is configured to determine local brightness contrasts in the detected radiation of the container (10) and to check in areas with local brightness contrasts whether local color contrasts are present in these areas.

This application discloses an intelligent identification method and system for mine geological hazards using UAV oblique photography, relating to the field of spatial perception technology. By integrating subsidence, displacement, and stress factors, it plans a differentiated three-dimensional spatial deployment of a UAV swarm to ensure comprehensive coverage of hazard areas. The shooting angle is determined based on the rock strata displacement direction to highlight subtle deformations. The impact of the deviation between the actual image and the ideal angle on edge sharpness is analyzed, and the shooting angle is corrected to improve identification accuracy from the source. Color saturation and illumination uniformity analysis of the images are performed to dynamically compensate for illumination interference, providing a high-quality image foundation for identifying subtle deformations. Detailed texture and brightness contrast features are extracted and compared with comprehensive monitoring conditions to ensure clear capture of subtle textures and avoid missed or misjudged cases. Groundwater level changes and surface subsidence rates are introduced as dynamic indicators to iteratively optimize the position and angle, enabling the monitoring scheme to adaptively evolve with disaster indicators, achieving long-term accuracy and comprehensiveness in monitoring.