Patents
Literature
412 results about "Point spread function" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
The point spread function (PSF) describes the response of an imaging system to a point source or point object. A more general term for the PSF is a system's impulse response, the PSF being the impulse response of a focused optical system. The PSF in many contexts can be thought of as the extended blob in an image that represents a single point object. In functional terms it is the spatial domain version of the optical transfer function of the imaging system. It is a useful concept in Fourier optics, astronomical imaging, medical imaging, electron microscopy and other imaging techniques such as 3D microscopy (like in confocal laser scanning microscopy) and fluorescence microscopy. The degree of spreading (blurring) of the point object is a measure for the quality of an imaging system. In non-coherent imaging systems such as fluorescent microscopes, telescopes or optical microscopes, the image formation process is linear in the image intensity and described by linear system theory. This means that when two objects A and B are imaged simultaneously, the resulting image is equal to the sum of the independently imaged objects. In other words: the imaging of A is unaffected by the imaging of B and vice versa, owing to the non-interacting property of photons. In space-invariant system, i.e. the PSF is the same everywhere in the imaging space, the image of a complex object is then the convolution of the true object and the PSF. However, when the detected light is coherent, image formation is linear in the complex field. The recorded intensity image then can show cancellations or other non-linear effects.
Image restoration method and device and storage medium
The invention discloses an image restoration method, an image restoration device and a storage medium, which are used for improving the structure restoration precision and the detail restoration capability of image restoration. The method comprises the following steps: acquiring multi-dimensional inertial data in real time; performing frequency domain analysis on the multi-dimensional inertial data by adopting sliding window short-time Fourier transform to obtain vibration intensity; if the vibration intensity does not exceed the preset threshold value, acquiring an image; calculating a definition index of the image; determining whether the image is a blurred image according to a preset definition standard and the definition index of the image; if the image is judged to be a blurred image, dividing the blurred image into a motion blurred image and a focusing blurred image; respectively constructing point spread function models of the motion blurred image and the focusing blurred image; performing deconvolution processing or depth reconstruction on the blurred image through a point spread function model to obtain a clear image; and recalculating the definition index of the clear image, and if the definition index does not exceed the definition threshold, triggering reacquisition or switching the repair model to execute secondary repair.
Owner:SHENZHEN SEICHITECH TECHN CO LTD
Synthetic broadband waveform optimization method based on reinforcement learning
The invention relates to the technical field of radar waveform optimization, in particular to a synthetic broadband waveform optimization method based on reinforcement learning. According to the method, a deep reinforcement learning framework is adopted, and end-to-end optimization is carried out on the center frequency and amplitude parameters of multiple sub-pulses. The method comprises the following steps: constructing a synthetic broadband waveform signal model, and parameterizing sub-waveforms to determine a search space of an optimization problem; converting a waveform optimization problem into a reinforcement learning form, and defining a state space, an action space, a reward function and a state transition mechanism; based on a deterministic soft action value iteration strategy algorithm, point spread function features are extracted in combination with a Transform encoder, and sub-pulse parameters are dynamically adjusted. Through the method, the main lobe resolution can be effectively suppressed and improved, the target detection performance of a radar system is improved, and the method has good global optimization capability and environmental adaptability and is suitable for cognitive radar and adaptive waveform design scenes.
Owner:WUHAN BINHU ELECTRONICS
High-speed high-resolution compressed sensing imaging system and imaging method thereof
The invention discloses a high-speed high-resolution compressed sensing imaging system and an imaging method. Light of an object is emitted to the polarization splitting prism to be transmitted and reflected after passing through the first-stage imaging module, the transmitted light is reflected back to the polarization splitting prism after being coded and modulated by the spatial light modulator, and then the transmitted light enters the target surface of the camera through the second-stage imaging module to form a coded imaging image; the reflected light is transmitted to the hollow ridge reflecting prism through the quarter-wave plate, is reflected back to the quarter-wave plate through the hollow ridge reflecting prism, then sequentially passes through the quarter-wave plate, the polarization splitting prism and the secondary imaging module and then enters the target surface of the camera to form a common imaging image, and then coded imaging data is matched with common imaging data; and decoding reconstruction is carried out by adopting an alternating direction multiplier method of a point spread function integrated with the first-stage imaging module and the second-stage imaging module. Compared with a traditional imaging mode, the method can break through the imaging frame rate limit of a camera, and has the advantages of high imaging resolution and small data volume.
Owner:ZHEJIANG UNIV
Three-dimensional ultrasonic imaging method and system, computer equipment and computer program product
PendingCN121570199AUltrasonic/sonic/infrasonic diagnosticsInfrasonic diagnosticsUltrasound contrast mediaUltrasonic imaging
The invention is suitable for the technical field of ultrasonic imaging, and provides a three-dimensional ultrasonic imaging method and system, computer equipment and a computer program product, and the method comprises the steps: transmitting a multi-angle composite plane wave sequence to a target region through a one-dimensional ultrasonic array with the frequency gradual change characteristic in the elevation direction, and receiving a reflected echo signal sequence, generating a target gray-scale image sequence corresponding to the echo signal sequence, acquiring coordinates of each ultrasonic contrast agent microbubble in each frame of gray-scale image, generating a two-dimensional coordinate set, calculating the axial half-peak full width of a point spread function region of each ultrasonic contrast agent microbubble, and calculating the axial half-peak full width of the point spread function region of each ultrasonic contrast agent microbubble; determining the coordinate of each ultrasonic contrast agent microbubble in the elevation angle direction based on the axial half-peak full width, generating an elevation angle coordinate set, and generating a three-dimensional contrast image of the target area based on the two-dimensional coordinate set and the elevation angle coordinate set. According to the method provided by the invention, the problem that three-dimensional ultrasonic imaging is limited by the surface ultrasonic array can be solved, and low-cost, simple and efficient three-dimensional ultrasonic imaging based on the one-dimensional ultrasonic array is realized.
Owner:SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
Image processing and training method and device, equipment, head-mounted display and medium
The invention discloses an image processing and training method and device, equipment, a head-mounted display and a medium. Acquiring fixation point information, an original image and a fixation point area image; generating a first input tensor based on the gaze point information, generating a second input tensor based on the gaze point region image, and connecting the first input tensor and the second input tensor to generate a first intermediate tensor; taking the first input tensor as a guide tensor, and performing weight distribution of channel weight and space weight on the first intermediate tensor based on a channel attention mechanism and a space attention mechanism to generate a second intermediate tensor; extracting multi-scale fuzzy features of a preset fuzzy image to generate a third intermediate tensor fuzzy image, and generating the third intermediate tensor fuzzy image based on a pre-calibrated point spread function of each sub-region in the fixation point region; connecting the second intermediate tensor and the third intermediate tensor, and inputting a fourth intermediate tensor generated by the connection into an encoder and a decoder to generate a pre-corrected image after confusion spot correction; and generating a to-be-displayed image based on the pre-corrected image and the original image.
Owner:YONGJIANG LAB
ICG fluorescence image and MRCP three-dimensional model registration fusion display method and system
PendingCN121883553AImage analysisCharacter and pattern recognitionSoft tissue deformationFluorescence
The invention relates to the technical field of medical image information processing, discloses an ICG fluorescence image and MRCP three-dimensional model registration fusion display method and system, effectively solves the problems of deep biliary tract structure blurring and form distortion caused by liver tissue scattering effect in intraoperative fluorescence imaging, uses a preoperative model as anatomical prior, and improves the accuracy of the intraoperative fluorescence imaging. A viewpoint correlation optical path depth field is constructed through reverse ray tracing, a spatial variation point spread function is generated accordingly, physical reverse recovery of scattering halo in a fluorescence image is achieved, non-specific background noise such as vascular leakage is effectively inhibited in combination with topological gravitational constraint of a central skeleton, and the detection accuracy is improved. The real pipe diameter and the center line position of the deep bile duct are accurately recovered, non-rigid registration correction is performed on the three-dimensional model based on the recovered high-fidelity image, and projection errors caused by respiratory movement and soft tissue deformation are eliminated.
Owner:WANNAN MEDICAL COLLEGE
Monocular four-dimensional imaging device and method based on metasurface
PendingCN121276668APolarising elementsStereoscopic photographySelf accelerationPoint spread function
The invention discloses a monocular four-dimensional imaging device and method based on a metasurface. The monocular four-dimensional imaging device comprises an image sensor and an imaging optical system arranged in front of the image sensor. Wherein the imaging optical system comprises a metasurface, the metasurface is designed to simultaneously generate a self-acceleration Airy point spread function with depth-dependent lateral displacement for incident left-hand circularly polarized light and right-hand circularly polarized light, and the self-acceleration Airy point spread function can generate a self-acceleration Airy point spread function with depth-dependent lateral displacement under the condition that a mechanical moving part is not used. Carrying out polarization separation and focusing on the left-hand circularly polarized light and the right-hand circularly polarized light; the image sensor is used for recording a mixed image containing the left-hand circularly polarized light information and the right-hand circularly polarized light information at the same time through single exposure so as to obtain three-dimensional depth and polarization information of the metasurface, namely monocular four-dimensional imaging of the metasurface. The scene perception and understanding capability of a machine is greatly enhanced, and the method has unique advantages in the aspects of target identification, material discrimination, severe environment perception and the like.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Wavefront coding microscopic system depth-of-field expansion joint optimization method based on deep learning
The invention discloses a wavefront coding microscopic system depth-of-field expansion joint optimization method based on deep learning, and belongs to the field of microscopic medical imaging, and the method comprises the steps: collecting a clear focusing image for neural network model training and testing; a defocusing phase is calculated according to corresponding optical system parameters, and defocusing blurring simulation is carried out on the clear focusing image; correcting a mask matrix by utilizing learnable aberration, and updating data in a training process to correct out-of-focus aberration; calculating a joint point spread function through the out-of-focus correction mask, and generating an out-of-focus correction image; and training a generative model by using a pair of the defocus correction image and the clear focusing image and a point spread function quality and image quality evaluation loss function, and recovering the optical image with high quality. According to the method, the free surface type of the mask is optimized, an optical physical mechanism is introduced to be fused with an image similarity evaluation function to form a model gradient return loss function, the aberration correction effectiveness of wavefront coding is ensured, and the imaging quality and robustness are improved.
Owner:ZHEJIANG LAB
Hyperspectral imaging device capable of acquiring polarization information and optical element thereof
ActiveUS12401868B2Television system detailsBiological neural network modelsPoint spread functionEngineering
An imaging device includes an optical element including a transparent substrate, and a plurality of structures disposed on or in the transparent substrate in a plane direction of the transparent substrate, an imaging element in which a plurality of pixels including photoelectric conversion elements are disposed, and a signal processing unit configured to generate an image signal based on an electrical signal acquired from the imaging element, wherein the optical element forms an image in which a point spread function of each wavelength is convoluted on a plurality of pixels corresponding to each polarized light component depending on polarized light components by outputting light in a state in which the optical element has different point spread functions for respective wavelengths, the plurality of structures have the same height in a side view, and the signal processing unit reconstructs an image in which a point spread function is convoluted.
Owner:NT T INC
Cross-medium uplink imaging simulation method based on downlink light field
ActiveCN120724726ACharacter and pattern recognitionDesign optimisation/simulationDigital dataPoint spread function
The invention discloses a cross-medium uplink imaging simulation method based on a downlink light field, and relates to the field of electrical digital data processing, and the method comprises the following steps: building an analysis model of underwater target laser reflection characteristics based on a bidirectional reflection distribution theory; establishing an underwater forward scattering imaging model based on a cross-medium imaging simulation angle; performing simulation imaging on local geometric deformation by solving a geometric relationship between the offset of the pixel point and the surface gradient; simulating laser radar scanning imaging to obtain a cross-medium imaging simulation result; an ideal Lambert bidirectional reflection distribution function is utilized to generate a target uplink light field, target multiple scattering degradation imaging under a calm sea surface condition is solved through a point spread function model, and nonlinear mapping of a wave surface gradient field and light field phase deviation is constructed. Total factor dynamic simulation from laser emission, medium transmission to target imaging is completed.
Owner:ARTIFICIAL INTELLIGENCE RES INST OF HEFEI COMPREHENSIVE NAT SCI CENT (ANHUI ARTIFICIAL INTELLIGENCE LAB)
Design and optimization of diffractive lensless cameras for imaging and computer vision applications
PendingUS20250377536A1Design optimisation/simulationOptical elementsComputer graphics (images)Point spread function
A method for designing and optimizing a lensless imaging device includes: (a) a method for optimizing the point spread function for various imaging, computer vision and artificial intelligence tasks, (b) a method for computing the optimal phase mask that can realize the desired point spread function, (c) using the optimal phase mask in a lensless camera and (d) a method for calibrating the lensless imaging device using a single captured image.
Owner:WILLIAM MARCH RICE UNIVERSITY
A low-quality image super-resolution reconstruction method based on a generative adversarial network
The application discloses a kind of low-quality image super-resolution reconstruction methods based on adversarial generative network, including, with the generation dynamic point diffusion function of differentiable optical diffraction calculation layer, and based on the function, wavefront aberration dynamic compensation mechanism is established, wavefront aberration is predicted and compensated, and the low-resolution input feature of optimization is obtained;According to the optimization feature, generator and discriminator are trained using physical constraint adversarial training strategy, and high-resolution image conforming to optical physical law is generated;The diffraction characteristics of high-resolution image are optimized through multi-scale diffraction consistency verification module, to ensure the physical authenticity and consistency of image under different resolutions;The application can effectively handle the complex degradation characteristics of low-quality image, improve the detail quality and optical rationality of generated image.
Owner:GUANGZHOU YUANHAO DIGITAL TECHNOLOGY CO LTD
Laser wavefront distortion correction system and method based on adaptive optics
The invention relates to the technical field of image processing, and discloses a laser wavefront distortion correction system and method based on adaptive optics, and the system comprises a first module which is used for calculating a noise covariance matrix and an interaction matrix; the second module is used for solving a control matrix and a phase reconstruction matrix; the third module is used for calculating to obtain a current slope vector; the fourth module is used for updating a deformable mirror command; the fifth module is used for calculating to obtain a point spread function; and the sixth module is used for calculating an image quality index and outputting a correction result. According to the method, a noise covariance matrix and an interaction matrix are accurately constructed under reference light, and a weighted least square method with double regularization is combined, so that the influence of measurement noise is effectively inhibited, the stroke constraint of an actuator is balanced, and the robustness of a correction model is greatly improved; by means of combination of integral control, leakage processing and amplitude limiting design, saturation of an actuator due to command accumulation is avoided, and correction error superposition is prevented.
Owner:BEIJING YUNHAN XINGCHI LASER TECH CO LTD
Three-dimensional fluorescence spectrum image super-resolution reconstruction method for water quality detection instrument
PendingCN120689208AGeometric image transformation3D modellingWater qualityFluorescence Spectrophotometry
The invention relates to a three-dimensional fluorescence spectrum image super-resolution reconstruction method for a water quality detection instrument, which is suitable for reconstructing a low-resolution and sparse three-dimensional fluorescence spectrum image collected by a portable water quality detection instrument into a high-resolution full spectrum. According to the method, an efficient super-resolution reconstruction network architecture composed of a feature extraction module, an up-sampling module and a trainable multi-Gaussian mixture point spread function is constructed. A joint loss function combining a reconstruction error and a degradation consistency error is designed, and a joint training strategy is adopted to synchronously optimize a network and PSF parameters, so that accurate reduction of a fluorescence peak shape structure and enhancement of spectrum authenticity are realized. The applicability and robustness of the portable water quality detection instrument based on the three-dimensional fluorescence spectrum in pollutant identification and analysis tasks are improved, and the portable water quality detection instrument is suitable for actual scenes such as intelligent water quality monitoring.
Owner:ZHEJIANG UNIV OF TECH
Image quality detection system for bright field microscopic imaging
The invention provides a bright-field microscopic imaging quality detection system, which belongs to the field of imaging quality detection and comprises an imaging optical module, a bright-field illumination optical module, a carrier and an image quality detection nano-point mechanism. The imaging optical module is arranged above the carrying table, and the imaging optical module collects an image of the image quality detection nano-point mechanism on the carrying table to realize image quality detection; the image quality detection nanodot mechanism comprises a nanostructure scatterer and a substrate. According to the invention, by designing the illumination pupil and the nanodot mechanism, a P polarized light Brewster angle illumination mode is realized, the adverse effect of the secondary reflected light of the substrate on the signal-to-noise ratio of the image is filtered out, the serious influence of the reflected light of the substrate on the signal-to-noise ratio of the image in the point spread function measurement based on nanostructure imaging is reduced, and the measurement accuracy is improved. And the signal-to-noise ratio of online image quality detection is improved. The system can be popularized and applied in the fields requiring on-line image quality detection, such as microscopic imaging, nanoscale semiconductor quantity detection, overlay quantity detection and the like.
Owner:SIXING SEMICON
Robust multiscale x-ray super-resolution reconstruction
PendingUS20250371758A1Image enhancementReconstruction from projectionPattern recognitionComputer graphics (images)
A technique is disclosed for analyzing and displaying the extent to which the images and structures inferred by a physically seeded multiscale network correspond to genuine resolution improvement through noise insensitive point spread function deconvolution, and the extent to which they correspond to the hallucination of realistic looking structures with realistic frequency contents. A relative modulation transfer function can be computed, which can represent the distribution of frequency components in a particular reconstruction (e.g., a volumetric reconstruction from high-resolution data) that are not robustly recovered by a different reconstruction (e.g., a volumetric reconstruction via processing of low-resolution data with a trained neural network). The high-frequency portion of these frequency components can represent hallucinations introduced by a trained neural network, and can be leveraged to filter the different reconstruction prior to further use.
Owner:CARL ZEISS X-RAY MICROSCOPY INC
Video synchronous acquisition method and device based on optical far image
The invention relates to the technical field of video collection, in particular to a video synchronous collection method and device based on an optical far image, and provides the following scheme: obtaining a calibration image of to-be-synchronized content and a user posture parameter; calculating a geometric mapping matrix and a point spread function through the calibration image and a preset calibration sequence, and performing geometric predistortion and frequency domain compensation on the to-be-synchronized content to obtain a compensation frame; and combining with the rotation range predicted by the attitude parameters, generating a sub-frame sequence by adopting multi-view rendering of time multiplexing, and outputting the sub-frame sequence by a display end, so as to realize stable far-image watching experience under the condition of small desktop size. According to the scheme, visual fatigue caused by close gaze can be relieved, and the intelligent level of learning interaction is improved.
Owner:HANGZHOU DAZHI INTERNET COMM TECH CO LTD
Fast iteration deconvolution sound source imaging method and system
PendingCN120610119ASubsonic/sonic/ultrasonic wave measurementPosition fixationSound sourcesAudio signal
The invention discloses a fast iteration deconvolution sound source imaging method and system, and the method comprises the steps: obtaining an audio signal and a video signal generated in a partial discharge process, and extracting the frequency domain information of the audio signal to construct a cross spectrum matrix; a propagation path of sound waves in a scanning plane area is simulated, a steering vector is generated, and the scanning plane area is key parameters initialized according to sound source positioning requirements; modeling the sound field response characteristic of each point in the scanning plane area to generate a point spread function; optimizing and solving the point spread function by adopting a fast iterative shrinkage threshold algorithm to obtain an optimal sound source distribution diagram, wherein a step length factor and an intermediate variable are updated based on the steering vector and a residual vector constructed by the cross spectrum matrix in an iteration process; according to the invention, high-quality sound field distribution data can be rapidly and accurately obtained.
Owner:SHANGHAI UNIV +1
Image reconstruction method and device, equipment and storage medium
PendingCN121414587AGeometric image transformationBiological modelsHigh resolution imageSpatial domain
The invention discloses an image reconstruction method and device, equipment and a storage medium, and relates to the field of computational optical imaging, and the method comprises the steps: obtaining a first resolution image of an imaging target, and determining a point spread function of the first resolution image based on the shape and rotation angle of a pupil; determining a convolution relational expression among the imaging target, the point spread function and the first resolution image in the spatial domain by using the Fourier optics theory; converting the convolution relational expression into a product relational expression in a frequency domain based on Fourier transform, and converting the product relational expression into a linear equation set; solving the linear equation set by using a least square method to obtain a corresponding solving result, and constructing a second resolution image corresponding to the imaging target by using inverse Fourier transform and the solving result; wherein the resolution of the second resolution image is higher than that of the first resolution image. According to the invention, multiple low-resolution images collected in the pupil rotation process can be quickly reconstructed into high-resolution images.
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
Industrial image super-resolution reconstruction method based on physical consistency self-supervision mechanism
ActiveCN120876229AGeometric image transformation2D-image generationPattern recognitionReconstruction method
The invention discloses an industrial image super-resolution reconstruction method based on a physical consistency self-supervision mechanism, and belongs to the technical field of industrial automation and machine vision. In order to obtain a high-resolution industrial image, the non-uniform degraded image of the industrial scene image is generated by the non-uniform degraded image generation method for constructing the industrial scene image; constructing an imaging fuzzy degradation model based on a point spread function, and simulating a fuzzy degradation process of an industrial scene image; constructing a lightweight neural network composed of a multi-layer convolution module and a pixel recombination module; constructing a composite loss function of basic reconstruction loss, structure edge perception loss and optical blur consistency loss, collecting industrial scene images, preprocessing the industrial scene images, and inputting the industrial scene images into a lightweight neural network for training to obtain a trained lightweight neural network; and collecting an industrial scene image, processing the industrial scene image by adopting a multi-view spatial transformation and integration mechanism, inputting the industrial scene image into the trained lightweight neural network, and outputting an enhanced image of the industrial scene image.
Owner:HARBIN INST OF TECH
Target object camera array imaging method based on multi-view-field deconvolution turbulence resistance
The invention provides a target object camera array imaging method based on multi-view-field deconvolution turbulence resistance, and relates to the technical field of image deblurring or deconvolution image processing based on a physical model, and the method comprises the steps: S1, building a physical model in which atmospheric turbulence affects the imaging quality of a target object, building a camera array imaging system, and carrying out the imaging of the target object; obtaining a target object image in a turbulence environment; s2, establishing a multi-view-field affine transformation registration model, and performing image registration through affine transformation to obtain a plurality of same-view-field image sequences of the target object; s3, performing deconvolution by using a convolution kernel of a point spread function of a preset optical system, enhancing the contrast of the target object image, and estimating the target object image; and S4, performing Fourier ring correlation operation based on the contrast-enhanced target object image, and performing adaptive iteration deconvolution again to obtain a recovered anti-turbulence target object image. According to the method, pre-deconvolution is performed on the original image, background noise is suppressed, and adaptive iteration deconvolution is performed after the image autocorrelation cumulant is calculated, so that anti-turbulence imaging is realized.
Owner:BEIJING INST OF TECH
Methods and computing systems for implementing amplitude inversion
Disclosed is a method comprising: receiving seismic data; generating PP-wave image angle gathers data and PS-wave image angle gathers data using the seismic data; generating PP-wave point spread function (PSF) angle gathers that serve as a first convolution input; generating PS-wave PSF angle gathers that serve as a second convolution input; generating PP-wave synthetic angle gathers data using the first convolution input and a first reflectivity operator, generating PS-wave synthetic angle gathers data using the second convolution input and a second reflectivity operator, generating first output data using the PP-wave angle gathers data and the PP-wave synthetic angle gathers data; generating second output data using the PS-wave image angle gathers data and the PS-wave synthetic angle gathers data; generating optimization data using the first output or the second output together with a parameter of a geological model; and updating, using the optimization data, an elastic property of the geological model.
Owner:SCHLUMBERGER TECH CORP
Systems and methods for increasing three-dimensional image quality using morphology-based recomposition
Methods and systems are provided herein for generating a morphology-based recomposition based on 3-dimensional input image data including an image stack of 2-dimensional (2D) images, the morphology-based recomposition being a final image generated by performing one or more white top hat (WTH) transforms on each 2D image, generating two or more image layers based on two or more WTH transformed images, and scaling adjacent image layers based on one or more scaling factors, each scaling factor being based on an estimated point spread function (PSF), two structure element sizes, and standard deviations of the estimated PSF and image data.
Owner:ARACELI BIOSCIENCES INC
Correction of blur variation in a multi-beam writer
ActiveUS12481214B2Electric discharge tubesPhotomechanical apparatusPoint spread functionParticle beam
In order to compensate for undesired effects of varying elevation of a target with respect to a nominal target plane, during writing a desired pattern on the target in a charged-particle beam apparatus, the pattern is re-calculated in each of a number of segments of the target plane by: determining an elevation of the target in the segment from the nominal target plane; determining a local blur value which represents the actual value of blur corresponding to the elevation, with regard to a dependence of the blur upon the elevation of the target; calculating a convolution kernel which represents a point spreading function realizing a local blur value; and re-calculating a nominal exposure pattern by applying the kernel to the pattern. The convolution kernel corresponds to introducing an additional blur into the pattern in the segment, increasing the blur to a given target blur value which is uniform to all segments.
Owner:IMS NANOFABTION
Line laser 3D contourgraph working method integrating multiple stray light suppression algorithms
The invention discloses a line laser 3D contourgraph working method integrating various stray light suppression algorithms, and the method comprises the steps: constructing a stray light sensitivity weight map based on a multi-exposure image sequence through the combination of a deep convolutional neural network and a point spread function; guiding Gaussian Laplacian pyramid adaptive filtering by using the weight map, and adjusting the filtering intensity by using a residual stability index to generate a purification intensity image; performing one-dimensional profile analysis based on the purified image and the original height map, calculating a morphological distortion index, extracting an energy concentration ratio through three-level wavelet packet decomposition, and triggering morphological restoration; performing center line extraction and motion blur correlation degree calculation on the repaired image, and performing anisotropic smoothing on the height map when a threshold value is exceeded; and registering the processed multi-frame height map, constructing geometric fidelity as a feedback driving genetic algorithm to optimize an initial parameter, and restarting a whole process until the fidelity meets a precision requirement. According to the invention, the precision of 3D imaging is improved through various stray light suppression algorithms.
Owner:BEIJING BOVISION TECH CO LTD
Quantum entangled light spatial correlation imaging method based on iterative deconvolution
PendingCN122176098AQuantum computersEditing/combining figures or textImage estimationPoint spread function
This invention discloses a quantum entangled light spatial correlation imaging method based on iterative deconvolution, belonging to the field of quantum information. The method includes the following steps: illuminating the target sample with a position-momentum entangled light source, and acquiring multiple frames of entangled light carrying sample information using a single-photon camera; performing statistical operations on the acquired multi-frame images to remove irrelevant background noise and obtain a joint probability distribution image of the sample; extracting the correlation width using the spatial distribution image of the joint probability distribution through differential coordinate projection to construct the point spread function of the optical system; using the point spread function for forward convolution projection and backward error projection, updating the image estimate through iterative calculation until the convergence condition is met to obtain the target sample image. This invention utilizes a camera to image with a position-momentum entangled light source under low illumination conditions, which can obtain high-contrast target imaging and has potential advantages in imaging light-sensitive samples.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A method, apparatus and equipment for multi-parameter Gaussian beam inversion imaging of acoustic VTI media.
This application provides a multi-parameter Gaussian beam inversion imaging method, apparatus, and device for acoustic VTI media, belonging to the field of seismic data processing technology. Based on normal time-difference correction velocity parameters, non-elliptic parameters, and Thomsen parameters, the pressure wave field control equation in the acoustic VTI medium is parameterized to obtain a migration operator. Based on the migration operator, the acquired actual seismic data is migrated to obtain actual migration imaging results. Based on the migration operator, the difference between the forward-modeled seismic data containing and without point scatterers is migrated to obtain a point spread function. The point spread function is spatially convolved with the initial perturbation parameter model to obtain simulated migration imaging results. Based on the actual and simulated migration imaging results, a first model loss is determined. The initial perturbation parameter model is iterated with the goal of minimizing the first model loss, improving the stability of imaging and parameter estimation in weakly illuminated areas.
Owner:CHINA NAT PETROLEUM CORP +2
Method for determining local spatial contrast of optical lens
A method for determining a local spatial contrast obtained with an optical lens to be placed in front of at least a portion of an eye, for example implemented by a computer device, where the method comprises:-obtaining an eye model representing the eye, obtaining an optical lens model representing an optical lens to be placed in front of at least a portion of the eye, determining a point spread function based on a system of eye models associated with the optical lens model, convolving the plurality of images with the determined point spread function to obtain a blurred version of the image, -determining a local spatial contrast in the blurred version of the image.
Owner:ESSILOR INTERNATIONAL(COMPAGNIE GENERALE D OPTIQUE)
Super-resolution microscopic imaging method and system based on fluorescence wavelength optimization
The invention discloses a super-resolution microscopic imaging method and system based on fluorescence wavelength optimization, and relates to the technical field of super-resolution microscopy, and the method comprises the steps: obtaining the position of a fluorescent molecule in a to-be-generated super-resolution image, an emission wavelength and a corresponding original image, and generating a point spread function; generating a current measurement matrix based on the point spread function; obtaining a current correlation absolute maximum value based on the current measurement matrix; updating the emission wavelength, returning to the step of generating the point spread function, and carrying out iteration to obtain a corresponding current related absolute maximum value; circulating the iteration process until the requirements are met, obtaining a plurality of emission wavelengths and corresponding current related absolute maximum values, and drawing a performance curve; taking the emission wavelength corresponding to the valley bottom of the performance curve as the optimal wavelength, and taking the current measurement matrix corresponding to the optimal wavelength as the optimal measurement matrix; and generating a super-resolution image based on the optimal measurement matrix and the original image. And the generation quality and the signal-to-noise ratio of the super-resolution image are improved.
Owner:GUANGXI NORMAL UNIV OF SCI & TECH
Method for selecting strong points of space-based ISAL combining multi-dimensional features
This invention provides a method for selecting strong scattering points in space-based ISAL systems by incorporating multi-dimensional features, relating to the field of ISAL image processing. This invention employs a multi-stage fusion processing strategy to form a complete link from image preprocessing to the final output of strong scattering points: pixel replication and extension are used to process convolutional boundary regions, significantly reducing boundary amplitude distortion caused by traditional zero-padding or periodic extension, and improving the signal-to-noise ratio of edge regions in the filtered amplitude map; the dynamic threshold generation process works synergistically with the preceding Gaussian kernel convolution preprocessing to suppress speckle noise while preserving the true amplitude characteristics of weakly scattering targets; amplitude-weighted averaging is used to calculate the centroid coordinates within the connected domain, overcoming the energy diffusion problem caused by the ISAL system's point spread function; transient interference points are eliminated based on the peak-to-mean ratio of multi-frame amplitude sequences, and the spatial distribution characteristics of the centroid position's spatial amplitude value and density constraints are combined to ensure that the output set of preferred scattering points simultaneously satisfies temporal stability, spatial saliency, and uniform distribution.
Owner:ANHUI UNIV