38 results about "Luminance distribution" patented technology

An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data of an environment. The processor may be configured to process the pixel data arranged as video frames, generate a luminance distribution map of the video frames in response to a low-pass filter operation, determine a plurality of defogging intensity weights for the luminance distribution map, perform adaptive smoothing to each of the plurality of defogging intensity weights, and generate defogged video frames in response to the video frames and the plurality of defogging intensity weights with the adaptive smoothing. The plurality of defogging intensity weights may each correspond to one of a plurality of luminance intervals of the luminance distribution map. The adaptive smoothing may be configured to prevent brightness differences in the defogged video frames.

The application discloses a FAST core array broadband beam effect elimination method based on deep learning, relates to the technical field of radio astronomy image processing, and constructs an end-to-end image restoration system, which comprises the following five steps: acquiring an observation image containing a broadband beam effect; extracting multi-scale features and introducing a spatial perception mechanism; performing feature frequency domain enhancement processing and multi-scale context fusion; and outputting a multi-scale prediction image and a restored image from which the broadband beam effect is removed. The application realizes the function of improving imaging quality by constructing a deep learning model, avoids cumulative errors caused by step-by-step processing, can effectively remove broadband beam distortion, and makes the reconstructed image more close to the real sky brightness distribution in overall fidelity and structural details, and has higher physical consistency.

Embodiments of the present application provide an image display method and an electronic device. In the method, the spatial geometric characteristics and the luminance distribution characteristics of a to-be-rendered image are determined, the lighting characteristic parameters of a preset virtual light source are determined, and the image display parameters of the to-be-rendered image under virtual light source relighting are determined according to the spatial geometric characteristics and the luminance distribution characteristics of the to-be-rendered image. The method is beneficial to enhancing the authenticity of the lighting effect and optimizing the visual effect of image display.

An anti-glare film is attached on a surface of a display, and includes an anti-glare layer. The anti-glare layer is set to have a sparkle value falling within a range from 6 to 10, which is defined based on a value of a standard deviation of luminance distribution of the display under a state in which the anti-glare film is attached on the surface of the display, a value of specular gloss of 30% or less, which is measured with 60-degree specular gloss, a value of transmission image clarity of 60% or less, which has an optical comb of 0.5 mm, and a haze value of 50% or less. Consequently, satisfactory anti-glare property can be provided while appropriately suppressing sparkle on the display.

This technology provides advantages in improving the display quality of light-emitting devices. [Solution] A light-emitting device including a first pixel and a second pixel, wherein each of the first and second pixels includes a microlens disposed on the main surface of a substrate and a light-emitting element disposed between the main surface and the microlens, the light-emitting element includes a light-emitting layer, the luminance distribution of the light-emitting region of the light-emitting layer of the first pixel and the luminance distribution of the light-emitting region of the light-emitting layer of the second pixel are different from each other, and in each of the first and second pixels, the microlens is positioned such that when light is incident from the direction normal to the main surface through the microlens toward the light-emitting layer, the area of ​​the incident region where the light beam that has passed through the entire microlens is incident is greater than the area of ​​the light-emitting region on a plane parallel to the main surface that includes the upper surface of the light-emitting layer.

The present application relates to the technical field of display dynamic contrast optimization, and particularly relates to a display dynamic contrast optimization system and method. The method comprises the following steps: obtaining the luminance distribution state of a to-be-displayed picture in a current display period of a display screen, collecting the outputtable backlight luminance range of the display screen, and determining the luminance distribution reference of the to-be-displayed picture on the display screen; based on the luminance distribution reference, dividing the display picture into multiple display partitions, and combining the luminance change requirements of each partition to calculate the partition luminance change load degree; and according to the partition luminance change load degree, adjusting the contrast and luminance; the present application realizes the balance between picture level enhancement and display stability in the display dynamic contrast adjustment process by performing partition analysis on the display picture based on the luminance distribution reference.

This application discloses an energy efficiency control method, display device, storage medium, and product, relating to the field of energy-saving technology for display devices. The method involves obtaining the proportion of each brightness range in an energy efficiency test source to construct a brightness distribution; determining a total power limit based on the energy efficiency level; and determining the target brightening area and its corresponding fixed power based on a preset basic brightness threshold; determining adjustable power based on the total power limit and fixed power; and allocating the adjustable power to the remaining screen areas except the target brightening area based on the brightness distribution, thereby generating energy efficiency control parameters. By obtaining the brightness distribution, the frequency of occurrence of each brightness range is quantified. The total power limit is determined based on the energy efficiency level, and the fixed power of the target brightening area is locked based on the preset basic brightness threshold, thus decomposing the total power into fixed power and adjustable power. Then, based on the brightness distribution, the adjustable power is allocated to the remaining screen areas, achieving precise coordination between brightness and power, and significantly improving debugging efficiency.

The marker position of the MCF is determined based on a side view of the MCF that has only one marker. [Solution] The determination system includes means for capturing a first image and a second image showing the brightness distribution of the side surface of the MCF when viewed in a first direction and a second direction; means for determining the first center position of the MCF based on the brightness distribution in the second direction and determining the second center position of the MCF based on the brightness distribution in the first direction; means for determining a first brightness difference, which is the difference in brightness between two positions that are equally far from the first center position, and a second brightness difference, which is the difference in brightness between two positions that are equally far from the second center position; and means for determining the marker position in the second direction based on the first brightness difference and determining the marker position in the first direction based on the second brightness difference.

This application discloses an image stabilization method, apparatus, device, and storage medium, belonging to the field of image processing technology. The method includes: inputting angular motion features, multi-scale visual features, and brightness distribution features into an attention fusion module, and outputting a fused unified pose feature vector through the attention fusion module; wherein the angular motion features, multi-scale visual features, and brightness distribution features are extracted based on gyroscope data, image sequence data corresponding to multiple original image frames, and ambient lighting data; inputting the unified pose feature vector into a deep learning pose estimation network, and estimating the absolute rotation pose of each original image frame relative to an initial reference frame through the deep learning pose estimation network; and performing geometric transformation compensation on the original image frames based on the absolute rotation pose to obtain the stabilized image.

A data processing method and apparatus are provided. The method includes: firstly, acquiring first image data, wherein the bit depth of the first image data is the first bit depth (S301); then, determining compression parameters based on the first image data, wherein the compression parameters are associated with the brightness distribution information of the first image data (S302); and compressing the first image data according to the compression parameters to obtain second image data, wherein the bit depth of the second image data is the second bit depth, and the first bit depth is greater than the second bit depth (S303). The brightness distribution information of the first image data is used to indicate the distribution of the brightness values ​​of pixels in the first image data across multiple brightness intervals, wherein these multiple brightness intervals fall within the data range of the first bit depth. Thus, the obtained compression parameters conform to the brightness distribution of the image data, reducing information loss caused by compression and improving the output quality of the ISP.

The present application belongs to the field of scene reconstruction, and particularly relates to a 3DGS rendering method and system for HDR large scenes, comprising: acquiring a multi-exposure image sequence and camera pose parameters of a target scene; reconstructing a high dynamic range light field to obtain light field configuration data comprising a dynamic range compression curve, indoor and outdoor area segmentation masks, and a material reflectivity model; iteratively optimizing spherical harmonic coefficients of a Gaussian sphere in a three-dimensional Gaussian splatting model according to the light field configuration data until the area proportion difference between overexposed and underexposed regions is less than a first threshold value; real-time rendering and collecting pixel-level brightness distribution, calculating the average brightness ratio of overexposed and underexposed regions, and if the ratio is less than a second threshold value, directly outputting, otherwise adjusting the spherical harmonic coefficients and tone mapping operators and re-rendering until the requirements are met. Through the light field guided spherical harmonic coefficient optimization and real-time dynamic adjustment, the present application effectively solves the overexposure, underexposure and light and shadow abrupt change problems in HDR scenes, and significantly improves the visual realism and consistency of large scene virtual roaming.

The present invention provides a screw detection system capable of appropriately detecting the position and orientation of a male screw, a screw fastening system equipped therewith, and a screw detection method. [Solution] The screw detection system comprises a 3D sensor and a processing circuit. The processing circuit generates a brightness distribution image of male screws with different brightness levels depending on the distance from distance data, generates a second derivative image by taking the second derivative of the brightness distribution image, generates a third derivative image by taking the third derivative of the brightness distribution image, calculates the logical AND of the second derivative image and the third derivative image to generate an edge extraction image showing the brightness distribution at the top of the screw threads of the male screw, converts the brightness values ​​in the edge extraction image into 3D point cloud data for distance, performs a cylinder fitting process to fit a cylinder model with a preset outer diameter to the 3D point cloud data, and determines the position and orientation of the central axis of the cylinder model after the execution of the cylinder fitting process as the position and orientation of the central axis of the male screw.

An apparatus includes an interface and a processor. The interface can be configured to receive pixel data of an environment. The processor can be configured to process the pixel data arranged as a video frame, generate a luminance profile of the video frame in response to a low pass filtering operation, determine a plurality of dehaze intensity weights for the luminance profile, perform adaptive smoothing on each dehaze intensity weight of the plurality of dehaze intensity weights, and generate a dehazed video frame in response to the video frame and the plurality of dehaze intensity weights with adaptive smoothing. Each dehaze intensity weight of the plurality of dehaze intensity weights can correspond to one of a plurality of luminance intervals of the luminance profile. The adaptive smoothing can be configured to prevent bright differences in the dehazed video frame.

This invention provides a method for extracting the center of laser stripes based on grayscale coefficient binarization, aiming to solve problems such as uneven brightness distribution of laser stripes, difficulty in extracting weak stripes, and broken center lines. The method includes: image enhancement; adaptive threshold segmentation using a grayscale coefficient binarization method through a local grayscale statistical model and peak variation coefficient; extraction of sub-pixel-level center points using a quadratic localization method combined with skeleton constraints; and fitting and smoothing using bicubic interpolation and smoothing splines. This application effectively solves the problem of extracting strong and weak stripes under complex working conditions, significantly improving the accuracy, connectivity, and robustness of stripe center localization while suppressing background noise.

This application discloses an image processing method, apparatus, and electronic device, relating to the field of artificial intelligence technology. The specific technical solution is as follows: A first image is decomposed into multiple levels of wavelet decomposition using a frequency domain decoupling module of an enhancement model to obtain a first frequency component and multiple second frequency components. The first frequency component represents the brightness distribution of the first image, and the multiple second frequency components represent the details and noise of the first image in different directions. The first frequency component is then corrected using an illumination correction module of the enhancement model to obtain a corrected first frequency component. A second image is generated based on the multiple second frequency components and the corrected first frequency component.

The application discloses a kind of LED display screen bright chroma point-by-point correction method and system, belong to display device manufacturing technical field, comprising: real-time acquisition pixel brightness data and construct luminance distribution matrix, generate attenuation deviation distribution diagram;When there is super-threshold pixel point, identify regional attenuation mode and output classification label;According to label construction time series and ARIMA modeling output future attenuation trend vector;Trend vector is input into long short-term memory network, calculates dynamic correction coefficient adjustment increment and superposition update;Updated correction coefficient set is injected into control module, and the area that does not reach standard is iteratively optimized;Optimization coefficient and full life cycle log are fused, attenuation abnormal points are detected by support vector machine, and final dynamic maintenance parameter set is generated to drive display screen parameter adjustment.The application realizes the continuous tracking, trend prediction and closed-loop correction of the bright chroma of LED display screen, solves the problem that the correction effect is difficult to maintain for a long time due to non-uniform attenuation of pixel points.

The application discloses a display device adaptive adjustment method and system based on environmental interaction, and belongs to the technical field of display and human-computer interaction. The prior art relies on a single-point environmental illumination sensor, and it is difficult to accurately represent the spatial lighting distribution, screen reflection and human eye visual perception difference in a real viewing scene. The application collects scene information of a viewing environment, screen physical parameters and user position parameters, establishes a background wall brightness distribution model, a screen reflection model and an environmental contrast representation model; a visual spatial frequency model corresponding to a display stimulus is constructed; in combination with the environmental brightness representation and the visual perception model, a target optimization function containing visibility, comfort and stability constraints is established; the target display brightness is obtained by solving, and smooth adjustment and closed-loop feedback correction are performed. The application can adaptively optimize the display brightness according to multiple light sources, complex backgrounds and user visual characteristics, significantly improve the viewing comfort and detail visibility, and is suitable for various display terminals.

The present application relates to display control technical field, specifically to a kind of LCD display brightness control method and system, method is applied to the display device containing direct backlight module and liquid crystal panel, backlight module is the multi-partition light source of independently adjustable brightness, method includes: constructing backlight module diffusion simulation module, based on point spread function to backlight brightness distribution diffusion obtains backlight output image;Utilize training sample to train HDR reconstruction model and local dimming model, HDR reconstruction model is based on saturation discrimination generation feature mask and is propagated in convolution feature extraction to inhibit saturated area feature, local dimming model generates supervision signal by means of diffusion simulation module and is updated with the loss function containing image fidelity term and power consumption constraint term;Display stage carries out luminance correction to input low dynamic range image and combines feature mask and exports target HDR image;Again output backlight prediction image and obtain backlight output image by diffusion simulation;According to the partition topological partition convergence forms backlight control image, and by target HDR image and backlight output image generates liquid crystal panel control image representation pixel transmittance;Accordingly drive each partition luminous intensity and each pixel transmittance, realize backlight and liquid crystal collaborative modulation output display image.The present application generates backlight partition control and liquid crystal panel transmittance control, so that display output approximates target HDR image and gives consideration to power consumption constraint and halo artifact suppression.

This invention discloses a method and system for automatically adjusting the brightness of light-emitting devices inside an aircraft cockpit. The method includes: step S1, determining acquired images of the ambient light inside and outside the aircraft cockpit within the pilot's field of vision; step S2, determining the brightness distribution of the ambient light inside and outside the aircraft cockpit; step S3, determining the brightness level and glare level of the ambient light inside and outside the aircraft cockpit; and step S4, determining a brightness adjustment signal for the light-emitting device based on the brightness level and glare level of the ambient light inside and outside the aircraft cockpit, combined with the correspondence between the brightness level and glare level of the ambient light inside and outside the aircraft cockpit and the comfortable recognition brightness of the light-emitting device. The advantages of this invention are: wider applicability to various lighting environments, higher suitability for brightness adjustment of the light-emitting device, and better conformity to the visual characteristics of the human eye.

To provide a luminance distribution estimation device and a luminance distribution estimation program capable of estimating a luminance distribution in a measurement point different from an actual measurement point without being affected by a dead angle at the time of photographing.SOLUTION: A luminance distribution estimation device 10 includes: a first acquisition unit 11A that acquires a first luminance distribution showing distribution of luminance obtained by measurement of a first predetermined measurement point, and a first contribution matrix showing the magnitude of influence that daylight gives to the first measurement point; a derivation unit 11B for deriving a light emitting intensity distribution on an incidence surface on which daylight impinges by using the first luminance distribution and the first contribution matrix; a second acquisition unit 11C for acquiring a second contribution matrix showing the magnitude of influence that daylight gives to a second measurement point different from the first measurement point; and an estimation unit 11D for estimating a second luminance distribution showing distribution of luminance in the second measurement point by using a light emitting intensity distribution and the second contribution matrix.SELECTED DRAWING: Figure 3

The present application belongs to the technical field of image data processing, and discloses a projection picture adaptive fusion and splicing method and system, which comprises the following steps: acquiring preset calibration data and current frame overlapping images of an overlapping area of adjacent projectors, wherein the calibration data comprises a brightness distribution graph, a standard fusion weight graph and a normalized definition difference graph; performing texture analysis on the overlapping images to obtain image frequency characteristic values; combining the definition difference graph and the frequency characteristic values to determine a weight offset requirement value; applying an offset to the standard fusion weight under the constraint that the brightness variation does not exceed a preset tolerance, generating a dynamic fusion weight graph through spatial smoothing processing, and outputting the projection signals of the projectors according to the weighted rendering. According to the present application, the fusion weight is adaptively adjusted according to the image texture characteristics, the weight is biased towards the projector with higher definition in the high-frequency texture area, and the brightness uniformity is ensured through brightness constraint and spatial smoothing.

This invention discloses an adaptive enhancement method for low-light images based on physical prior guidance and spatiotemporal decoupling, belonging to the fields of computer vision and autonomous driving perception technology. The method first converts the original low-light image to YUV space to extract the brightness channel and performs inverse mapping. A pseudo-dehazing physical model is used to inversely solve for the transmittance map as the structural prior matrix. Subsequently, a mask decomposition network decouples the original image features into a reflection component containing local texture and an initial illumination component containing global brightness distribution. This invention constructs a dual-branch parallel enhancement architecture: the first branch uses an enhanced Transformer network for detail restoration and introduces a color histogram matching loss function to ensure color fidelity; the second branch uses an adaptive Gamma U-Net to predict pixel-level gamma parameter matrices for brightness compensation and suppresses overexposure through a regularized loss function with a range penalty term. Finally, the enhanced image is reconstructed based on Retinex theory.

The application relates to a video display processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a playing request of a target video, reading video frame data of the target video, performing inverse photoelectric processing on the video frame, converting image data of each image frame after the inverse photoelectric processing to obtain the conversion brightness of each pixel point in the image frame; performing statistics on the conversion brightness to obtain a brightness distribution array of each image frame; determining a best brightness range of a display device according to the brightness distribution array of each image frame, brightness information of the image frame and brightness information of the display device; and performing display according to the best brightness range of the display device, color gamut information of the display device, a brightness range of the image frame, color gamut information of the image frame and image data of the image frame. The method solves the problems that the precision is insufficient when the brightness of an LED display device is greater than the brightness of a video source and the LED display device cannot meet the brightness range of the video frame.

This method for determining the coverage rate of convex part portions on a particle surface in a powder comprises the following steps. (1) A step for acquiring a microscopic image of a powder having a luminance distribution and resolution, the microscopic image being acquired so that the luminance distribution satisfies a specific range. (2) A step for creating a pseudo-binarization model for converting the luminance distribution of the microscope image obtained in (1) to a distribution having peaks at a luminance value of 0 and a luminance value of 255. (3) A step for binarizing and detecting the pseudo-binarization model produced in (2). (4) A step for performing image processing to remove excess noise from the image binarized and detected in (3). (5) A step for calculating, from the image processed in (4), a coverage rate indicating the proportion of the particles covered by the convex parts.

The application discloses a kind of detection method, system and medium of linear light source, the detection method comprises: adjusting the distance of objective lens to calibration object;The linear scanning brightness image is processed, and the brightness distribution graph is obtained, and the peak position in the width direction of brightness distribution graph is identified;The offset of the peak position on each pixel column under the current linear light source and standard linear light source is calculated;The relative gray value along the width direction of linear scanning brightness image is extracted, and the offset of the peak position along the pixel column direction of the current linear light source and standard linear light source along the length direction of linear light source is combined, whether the linear light source under current optical system meets detection demand is analyzed.The application judges whether the linear light source is offset and rotated relative to the plane where the camera is located, and whether the linear light source is deflected relative to the optical axis where the objective lens is located, and then accurately analyzes whether the linear light source under current optical system meets detection demand.