151 results about "Multiple exposure" patented technology

The invention is applied to the technical field of low-light image enhancement, and particularly discloses a low-light image enhancement method based on multi-scale perception enhancement structure block decomposition, which comprises the following steps: firstly, carrying out SPD decomposition on a low-illumination image to obtain four components including perception gain, signal intensity, signal structure and average intensity; a perception gain component, a signal intensity component, a signal structure component and an average intensity component are respectively enhanced through an artificially set enhancement strategy, and the four enhanced components are fused into one image again through a multi-scale framework. According to the low-light image enhancement method based on multi-scale perception enhancement structure block decomposition, the image is subjected to adjustment enhancement after being decomposed so as to generate a result with rich information and vivid perception, a synthesized multi-exposure image is obtained by adopting simple logarithm stretching, the enhancement performance can be further improved, the enhanced image is more natural and real, and the image quality is improved. The method has advantages and effectiveness in the aspects of keeping detail information and keeping image consistency.

The invention provides a self-adaptive reverse multiple exposure phase fusion technology, and relates to the field of high-dynamic-range three-dimensional reconstruction. The method includes the following steps that firstly, a saturated pixel mask matrix is obtained by judging pixels of a high-reflection area, then uniform grey-scale maps are selected step by step through a gradient adjustment method to obtain the optimal local projection intensity, and local coding and decoding are conducted on the high-reflection area through the optimal projection intensity pattern. And replacing an invalid phase value in the high-SNR image with a local phase value under the optimal projection intensity through an edge matching and phase fusion technology, and obtaining high-quality complete three-dimensional imaging information through coordinate mapping after a complete phase diagram is obtained. According to the method, the optimal projection intensity is adaptively determined through a small number of patterns, meanwhile, the high SNR of imaging patterns is guaranteed, and high-precision complete three-dimensional imaging is carried out on an HDR object. Experimental results show that in a traditional method, a large number of point clouds are lost in a saturated pixel area, the imaging integrity and the measurement precision cannot achieve the normal imaging effect, and the algorithm of the invention shows high integrity and high point cloud density in a dark area and a high-reflection area.

The invention relates to a plate spring center point visual positioning method based on multi-model cooperation, and belongs to the technical field of plate spring center hole machining. Comprising the following steps: S01, acquiring a plurality of images under different exposure parameters, and fusing the multi-exposure images by using an IFCNN model to obtain an image with moderate exposure; s02, a YOLOV8 model is adopted to carry out target detection on the image, all the plate springs are accurately recognized, ROIs (Regions of Interest) of the plate springs are extracted, and each ROI only comprises a single plate spring; s03, performing fine segmentation by using U-Net, and extracting an accurate contour of a single plate spring; and S04, a binocular vision system is adopted, precise three-dimensional positioning of the center point of the plate spring is achieved through double-camera parallax calculation, and space coordinates (X, Y and Z) of the center point of the plate spring are obtained. According to the method, the space coordinates of the center point of the plate spring are accurately obtained in the plate spring punching process by combining the target detection and semantic segmentation methods, and automatic center punching of the plate spring plate is conveniently achieved.

The invention discloses a method and device for quickly switching multiple working modes of a grating spectrometer, and the method comprises the steps: 1, laying a grating and a detector on a working turntable, and adjusting the grating and the detector to be concentric and coaxial; and step 2, rotating the working turntable and the grating respectively, adjusting different incident angles of the grating and adjusting the angle of the detector to match the working wave band. The grating, the camera system and the detector are mounted on the same rotary table, so that the consistency of an optical system in the mode switching process is ensured, and the grating, the camera system and the detector are ensured to be coaxial in the working mode switching process. The mode that the rotary table rotating motor drives the rotary table to rotate as a whole and the grating rotating motor drives the grating to rotate independently is combined, rapid switching of multiple working modes of the grating spectrometer is completed, and broadband wavelength coverage of the grating spectrometer with multiple exposure combined is achieved.

A method includes generating alignment maps for a first image frame having a first exposure level and a second image frame having a second exposure level different than the first exposure level. The method also includes generating, for the second image frame and a third image frame having a third exposure level different than the first and second exposure levels, shadow maps, saturation maps, and multi-exposure (ME) motion maps based on the alignment maps. The method further includes determining, based on the shadow maps, saturation maps, and ME motion maps, whether to perform machine learning-based denoising and, if so, on which image frame(s) to perform the machine learning-based denoising. In addition, the method includes updating at least one saturation map and at least one ME motion map for at least one of the second and third image frames depending on the image frame(s) on which the denoising is to be performed.

The utility model discloses volume holographic optical waveguide exposure equipment, which can complete splicing exposure of a to-be-exposed area by switching a plurality of baffle plates to perform multiple exposure when the area of the to-be-exposed area is large, and can repeatedly utilize the baffle plates and mask plates for different types of optical waveguides or different shapes of to-be-exposed areas. The utilization rate of the baffle plate and the mask plate is increased to a certain extent, and the cost for manufacturing the baffle plate and the mask plate is reduced.

The invention discloses a bill identifier identification method, which comprises the following steps: continuously acquiring a plurality of exposure images of a target bill at different exposure times through acquisition equipment, and fusing the plurality of exposure images according to the pixel brightness of a plurality of image pixels in the exposure images to obtain a target exposure image corresponding to the target bill; performing image enhancement on the target exposure image to obtain a target enhanced image, determining target boundary information of the region of interest according to the target enhanced image and a boundary detection model, and determining a target mask region corresponding to the region of interest according to the target boundary information; the method comprises the steps of obtaining a gradient magnitude of each pixel in a target mask region, dividing the target mask region into a plurality of pixel regions, determining a dynamic threshold value of each pixel region according to the gradient magnitudes of the plurality of pixels in each pixel region, and generating a target image according to the plurality of dynamic threshold values, the bill identification of the target bill is determined based on the target image through the pre-trained image identification model, and the bill identification precision can be improved.

The invention discloses a fringe projection measurement method for a high dynamic range scene. The fringe projection measurement method can realize high-precision three-dimensional reconstruction of a complex reflection scene without human intervention. The method comprises the following steps: firstly, projecting pure gray-scale maps with different gray scales to calculate the maximum unsaturated exposure time of a camera for a scene, constructing a phase error model for a fringe pattern captured under exposure, and respectively calculating the optimal exposure time of each pixel point under phase error and light intensity constraint conditions; and then, obtaining required exposure times, masks and exposure time by using an iterative optimization algorithm of the masks. And finally, obtaining an optimal fringe pattern for three-dimensional reconstruction by automatically capturing and fusing fringe patterns at different exposure times. Compared with a traditional high-dynamic measurement method, the method has the advantages that high-quality multi-exposure fusion can be completed without human intervention, and high-precision and high-robustness three-dimensional measurement of a high-dynamic-range scene is realized.

The application discloses a kind of based on multiple exposure generation fusion's low-light image enhancement system, belong to low-light image enhancement technical field.System includes: adaptive multiple exposure adjustment module (AMEA), joint prediction gamma coefficient, linear modulation factor and compensation parameter, to input low-light image carries out nonlinear and linear combination transformation, generates multiple luminance, contrast and different color response multiple exposure candidate image;Multiple exposure fusion module (MEF), original low-light image and candidate image channel splicing are carried out, and preliminary enhancement image is obtained by fine-grained weighting fusion of channel fusion coefficient and introduction of perception compensation parameter correction;Color refinement module (CRM), using encoder decoder structure and introducing fast fourier representation in bottleneck layer, realize spatial domain and frequency domain joint modeling, carry out global color calibration and local detail optimization to preliminary enhancement image.The overall network uses lightweight design such as depth separable convolution and dense connection, inference is simple, and can be run in real time in edge device.The application generates by adaptive multiple exposure, structure constraint fusion and frequency domain refinement, effectively restores dark texture, suppresses over-enhancement and color deviation, improves visual naturalness and robustness in complex low-light scene.

The invention relates to an exposure sequence adaptive optimization method and device for multi-view automatic measurement, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring an original exposure time sequence of a plurality of viewpoints; the original exposure time sequence comprises a plurality of exposure segments, and each exposure segment corresponds to one viewpoint; calculating similarity data among the exposure segments, and grouping the exposure segments according to the similarity data to obtain a plurality of initial exposure groups; for each initial exposure group, re-grouping the exposure segments at the boundary position to obtain a plurality of boundary grouping results, and calculating grouping cost data for each boundary grouping result; and selecting a target grouping result from the boundary grouping results according to the grouping cost data, optimizing the target grouping result according to the grouping cost data to obtain a plurality of target exposure groups, and calculating the exposure time of each target exposure group. The method can shorten the measurement period.

The utility model discloses a laser lamp debugging and calibrating tool for a mobile CT, relates to the technical field of medical instruments, and can solve the problems that a laser of an existing mobile CT is very difficult to debug and calibrate, exposure needs to be conducted for multiple times in the debugging process, consumed time is long, and efficiency is low. The laser lamp debugging and calibrating tool of the mobile CT comprises a tool body, the tool body comprises an installation section used for being installed on an equipment rotating disc and a calibrating section used for debugging and calibrating the position of a laser lamp, and the installation section is fixedly connected with the calibrating section. Wherein the calibration section comprises a first calibration surface and a second calibration surface which are parallel to each other and are used for facing the two correlation laser lamp main bodies respectively; and the calibration structures are arranged on the first calibration surface and the second calibration surface in a mirror symmetry manner.

The application discloses an automatic high-reflective object three-dimensional measurement method based on reinforcement learning, constructs a multiple-exposure-time sequence prediction model based on reinforcement learning based on an irradiance map, realizes fast and automatic generation of the multiple-exposure-time sequence, and compared with a traditional method, comprehensively balances the relationship among exposure time, exposure frequency and image measurable area based on reinforcement learning, realizes stable and fast prediction of the multiple-exposure-time sequence, and achieves global optimization of the three, and the measurement effect of the high-reflective part is improved. Further, the irradiance is quickly and stably predicted based on a single image by constructing an irradiance prediction network, compared with the traditional method, the number of pictures required by the multiple-exposure-time sequence is reduced, and the measurement speed is improved.

The present invention provides a calibration method and system for a self-closed-loop pixelated headlamp detection device, which belongs to the field of vehicle light control technology. The method includes: setting the exposure mode of an imaging colorimeter to a multiple exposure mode to collect a brightness image of a self-closed-loop pixelated headlamp to be detected; completing the calibration of the headlamp installation position based on the coordinates of the feature points of a pattern with feature points projected by the self-closed-loop pixelated headlamp; performing pixel compensation on the pattern with feature points based on the center coordinate position of the feature points to complete the calibration of the light pattern area of ​​the self-closed-loop pixelated headlamp; using a polynomial fitting to measure the effect of junction temperature on illuminance to complete the calibration of the self-closed-loop pixelated headlamp illuminance. This method solves the problem that the traditional solution cannot accurately identify the light pattern contour due to virtual light and the problem of poor repeatability of illuminance testing.

A charged-particle writing method for writing a desired pattern on a target using a charged-particle multi-beam processing apparatus includes writing multiple exposure stripes (51) along a main direction. The apparatus includes a plurality of particle-optical columns (411, 413) arranged in an array over the target plane, with said columns forming least two lines extending perpendicular to the main direction. By virtue of a relative movement between said target and the particle-optical columns along the main direction while the particle-optical columns generate pattern portion images on the target, the columns write the exposure stripes (51) on the target, each exposure stripe being exposed by either one single particle-optical column or one group of two or more particle-optical columns arranged along said main direction. In the direction perpendicular to the main direction, the row offset is at least twice the width of the stripes. Between writing the exposure stripes the particle-optical columns are moved relative to the target so that the target bypasses the base points of the particle-optical columns.

A charged-particle writing method for writing a desired pattern on a target using a charged-particle multi-beam processing apparatus includes writing multiple exposure stripes (51) along a main direction. The apparatus includes a plurality of particle-optical columns (411, 413) arranged in an array over the target plane, with said columns forming least two lines extending perpendicular to the main direction. By virtue of a relative movement between said target and the particle-optical columns along the main direction while the particle-optical columns generate pattern portion images on the target, the columns write the exposure stripes (51) on the target, each exposure stripe being exposed by either one single particle-optical column or one group of two or more particle-optical columns arranged along said main direction. In the direction perpendicular to the main direction, the row offset is at least twice the width of the stripes. Between writing the exposure stripes the particle-optical columns are moved relative to the target so that the target bypasses the base points of the particle-optical columns.

The invention discloses a simulation-based high dynamic range image synthesis method, which comprises the following steps of: generating low dynamic range images with different exposure degrees based on a CARLA simulator, and synthesizing a plurality of low dynamic range images into a high dynamic range image by using a multi-exposure fusion algorithm, thereby constructing a large-scale automatic driving high dynamic range simulation data set. According to the invention, through a multi-exposure fusion algorithm, low-dynamic-range images of multiple exposures are concisely and efficiently fused, a high-quality high-dynamic-range image which retains details of a dark part and a bright part at the same time is obtained, and the synthesis speed is relatively high. The method supports the synthesis of a large-scale automatic driving high-dynamic range policy data set, and is used for the research of related tasks.

The invention provides a manufacturing method for improving negative photoresist analysis adhesive force through multiple exposure and a substrate. The manufacturing method comprises the following steps of performing roughening treatment on the surface of the substrate; pressing and pasting a negative type light resistance dry film on the surface of the roughened substrate; performing first exposure on the pressed and attached substrate to form an initial polymerization area; at least one time of local enhanced exposure is carried out on the initial polymerization area, each time of local enhanced exposure adopts second exposure energy higher than the first exposure energy, and the exposure area is completely located in the initial polymerization area; and developing the substrate subjected to all the exposure steps to form a circuit pattern. The initial polymerization area is formed through the first exposure, the polymerization degree and the adhesive force of the middle part are enhanced through the local enhanced exposure, energy distribution is optimized, the contradiction that the resolution and the adhesive force cannot be achieved at the same time in a traditional process is effectively solved, and the method has the advantages that stable manufacturing of the superfine circuit is achieved under the condition of not depending on special materials and high-end equipment; and the production yield is improved.

An image pickup apparatus capable of processing subject detection in a multiple-exposure image with high accuracy and high speed is provided. The image pickup apparatus includes at least one processor, and a memory coupled to the processor storing instructions that, when executed by the processor, cause the processor to function as an acquisition unit to acquire images of a plurality of frames, a synthesis unit to synthesize the images of the plurality of frames to generate a multiple-exposure image, a first detection unit to detect at least one or more subjects with respect to at least one of the images of the plurality of frames, a determination unit to determine a subject type of a main subject of the multiple-exposure image based on a detection result obtained by the first detection unit, and a second detection unit to detect a subject of the determined subject type in the multiple-exposure image.

This invention relates to image processing methods, providing a multi-exposure image fusion method based on perceptual enhancement structured block decomposition, comprising the following steps: S1. Acquiring multiple exposure source images, and decomposing each image block in each exposure source image into perceptual gain, signal intensity, signal structure, and average intensity; S2. Estimating the perceptual gain using a logarithmic stretching method; S3. Fusing the perceptual gain, signal intensity, signal structure, and average intensity respectively to obtain fused perceptual gain, fused signal intensity, fused signal structure, and fused average intensity, and reconstructing a fused image block; S4. Integrating all the fused image blocks to obtain the final fused image. This invention's multi-exposure image fusion method based on perceptual enhancement structured block decomposition can obtain information-rich and perceptually realistic results under different exposure rates.

The application discloses a kind of self-adapting multiple exposure fusion methods and systems based on surface structure light three-dimensional measurement, the method is first based on initial exposure image calculation modulation chart and maximum gray value, and according to modulation degree division multiple regions, and through the gray value correction and local information entropy weighting of pixel, the average gray of each clustering is accurately calculated, and then the optimal exposure time is solved for different regions, in image fusion stage, by analyzing the gray value distribution of high exposure image Dynamic determination of overexposure threshold, and with the pixel modulation degree under each exposure as the core basis, the fusion weight is calculated, and finally the global high-quality fringe image is generated.The application solves the problem that the reconstruction accuracy is low due to local overexposure or underexposure of high dynamic range objects, and significantly improves the three-dimensional measurement accuracy and automation level of high dynamic range objects.

The utility model discloses photoetching equipment with a gas bath device, the photoetching equipment comprises a plurality of exposure lenses and the gas bath device arranged on one side of the exposure lenses, the gas bath device comprises a shell with a gas bath cavity formed inside, one end of the shell is provided with a gas inlet communicated with the gas bath cavity, and the other end of the shell is provided with a gas outlet communicated with the gas bath cavity. The plurality of groups of air outlet channels are arranged on one side or two opposite sides of the shell at intervals, each group of air outlet channels comprises a plurality of independent air outlets, air in the air bath cavity is sprayed out obliquely downwards through the air outlets, and air bath airflow sprayed out by each group of air outlet channels effectively covers an exposure area of the corresponding exposure lens and takes away heat of the exposure area in time; a better temperature control effect is achieved, and the temperature is prevented from influencing the precision of the photoetching equipment. In addition, when the energy plate moves to the lower side of the exposure lens for exposure lens view field center detection, the air bath airflow ejected by the multiple groups of air outlet channels effectively covers the energy plate area, the temperature drift of the energy plate is controlled, and the measurement precision of the energy plate is ensured.

The invention relates to a cross-color gamut phase-guided double-attention fusion HDR imaging method. The method comprises the following steps: step (1), carrying out data preprocessing of denoising and cleaning on an original multi-exposure image sequence; step (2), obtaining standardized image data; (3) mapping a nonlinear pixel value into a linear physical illumination value for the standardized image data through a reverse application camera response curve, and outputting a linearized multi-frame image; step (4), splicing the linearized multi-frame images on a channel dimension, and constructing a unified input tensor containing complete dynamic range information; (5) performing convolution operation on the input tensor, and extracting shallow feature representation of local textures and edges of the image; extracting shallow layer features; and step (6), introducing a double attention mechanism to perform interaction and aggregation of global features, and outputting a fused high dynamic range feature map. The method can stably work in a dynamic scene and under an extreme exposure condition, and promotes the practical application of an HDR imaging technology.

The invention provides an image generation method, electronic equipment and a computer readable storage medium, and relates to the technical field of terminals. According to the invention, after the plurality of image frames are collected, the first cover frame and the first video can be generated according to the plurality of image frames. Wherein the first video comprises one or more special effect frames corresponding to the image frames; the special effect frame comprises at least one branch of the main body in the plurality of image frames, the special effect frame is obtained by superposing the branch of the main body in the key frame before the corresponding image frame at the acquisition moment to the corresponding image frame, and the key frame is a frame in the plurality of image frames. Thus, by superposing the branch bodies of the main body in the key frame before the image frame to the image frame, overall registration does not need to be performed on multiple image frames obtained through shooting, and then multiple exposure special effects can be added to the multiple image frames obtained through shooting in a mirror moving scene or a jitter scene.

The invention discloses a multi-region time-sharing exposure control method for a single-chip image sensor and an application of the multi-region time-sharing exposure control method. The control method comprises the following steps of: logically partitioning a pixel array of a single-chip image sensor according to a shooting scene to obtain a plurality of exposure areas; according to the exposure time of different partitions, a pixel row decoder is controlled to expose the area needing to be exposed; after exposure is completed, the column reading circuit is controlled to read out, and exposure images of all the partitions at different moments and different exposure times are obtained. The method is used in the star guiding process. According to the method, multi-region time-sharing exposure of the single image sensor is realized, and meanwhile, the multi-region time-sharing exposure is applied to the astronomical field, so that a guided star image is acquired and a target image is shot on the same image sensor, the error is smaller when the guide star deviation is calculated, and more accurate guide star correction can be completed. The complex process problem of adjusting the guide star sensor and the main sensor to be in the same plane and the guide star calculation error caused by the adjustment error are avoided.

The present invention provides a method for manufacturing a ceramic core using multiple combined surface exposures for high-precision molding, comprising the following steps: S1. Designing a ceramic core structure diagram using modeling software and saving it as an STL file; S2. Slicing the STL file to obtain a grayscale image of each printed slice layer, calculating a threshold k for multiple exposures, and measuring the actual threshold kn of the model; S3. Importing the slice grayscale image into a light-curing 3D printer, performing a single exposure or n+1 slice grayscale image processing and combined surface exposure; S4. Adding a photosensitive resin, a dispersant, and ceramic powder to a slurry tank and pouring it into a ceramic material cylinder; S5. After the printer obtains the exposure pattern of the printed model, a formed ceramic body is obtained by light-curing molding; S6. Degreasing the ceramic body to obtain a ceramic green body, which is then sintered to obtain a ceramic core. The present invention can improve the curing performance of the ceramic slurry, reduce structural defects in the printed body, and can be used to manufacture high-precision ceramic core bodies.

The invention belongs to the technical field of cigarette case defect detection, and discloses a multi-exposure-based variable-speed detection defective cigarette case rejecting method and system.The method comprises the steps that when a cigarette case on an assembly line reaches the position of a first optical fiber sensor, the first optical fiber sensor generates a trigger signal and transmits the trigger signal to a camera; after the camera receives the trigger signal, exposure is carried out for multiple times immediately, and multiple images of the same cigarette case are obtained; the images of the cigarette case are uploaded to an upper computer for defect detection, when the cigarette case has defects, the cigarette case is marked, and the accumulated advancing distance of the defective cigarette case is calculated according to the multiple images of the same cigarette case based on the idea of integral; when the accumulated advancing distance is larger than or equal to the distance between the two optical fiber sensors, the second optical fiber sensor and the removing device are powered on at the same time, and the defective cigarette case is removed. According to the method, the position of the defective cigarette case to be rejected on the assembly line is accurately calculated based on multiple exposure and integral ideas, and false detection and false rejection are prevented.

A pixel architecture is provided for complementary metal-oxide-semiconductor (CMOS) image sensors for high dynamic range (HDR) capture without introducing multi-exposure motion blur. The pixel architecture combines a low-noise readout in combination with a shuffle-gate circuit which is used for flexible extension of sensor saturation. The shuffle-gate circuit allows for the overflow charge from a photodiode to be selectively skimmed and stored based on a modulated duty cycle that governs signal range extension. Shared elements allow for further pixel size reduction through wafer-to-wafer interconnects and spatial multiplexing.

A distributed imaging that allows for sample relaxation. CPB images are acquired with pulsed exposures of a field of view (FOV) defined in a region of interest of a sample. Multiple exposures are configured with time intervals greater than a phonon lifetime to reduce sample damage caused by CPB exposures. The FOV can be defined to be spaced apart to control effective irradiation dose based on a combination of direct and evanescent exposures.

The invention discloses a light area contour extraction method and device, equipment and a storage medium. The method comprises the following steps: carrying out light area extraction on a high-exposure grayscale picture based on a gradient magnitude to obtain a light response diagram; performing light area boundary expansion on the light response diagram to obtain a boundary expansion diagram; a bright light extraction threshold value is constructed according to the boundary expansion graph, a bright light mask graph is constructed according to the bright light extraction threshold value, and the bright light mask graph comprises effective boundary points; and carrying out connected region filtering and closed operation on the bright light mask pattern to obtain a bright light region contour. A light response diagram and a self-adaptive extraction mechanism are constructed through gradient amplitudes, a real set structure contour of a highlight area can be recovered under the condition of not depending on edge closure and gradient continuity, and the method has higher structure adaptability and interference robustness and is suitable for large-scale popularization and application. Therefore, structural highlight area contour information is stably extracted from a complex industrial image with multiple exposure interferences, uneven illumination and bright area overexposure.

To get optimal camera images for human pose estimation, including, specifically, hand tracking, a network is trained to simultaneously do hand pose estimation and camera control. By combining these tasks into a single network, the accuracy of the hand tracking during training is used as feedback to guide how the network controls the camera parameters. This approach is enhanced by independently controlling the exposure parameters of each participating camera or sensor. This expands the dynamic range beyond what is possible with a single camera, enabling improved functionality across a broader range of environments or with lower bit depths and reduced system power. This method is applicable to systems with any number of tracking sensors, as it involves capturing multi-exposure images of the scene volume both temporally and spatially.