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83 results about "Point spread function" patented technology

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.

Quantum entangled light spatial correlation imaging method based on iterative deconvolution

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.

PendingCN122307673AGaussian beamPoint spread function
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 selecting strong points of space-based ISAL combining multi-dimensional features

ActiveCN122048939BImage enhancementImage analysisAmplitude distortionTime domain
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

A TDI-CCD image deartifacting method, device, equipment, medium and product

The application discloses a TDI-CCD image deartifact method and device, equipment, medium and product, and relates to the technical field of image processing. The method comprises the following steps: constructing a deep deblurring network; the deep deblurring network comprises a Wiener filter module and a generative adversarial network, and the Wiener filter module is arranged at the input end of a generator of the generative adversarial network; the Wiener filter module is used for filtering a frequency domain image; the deep deblurring network is trained, and the trained deep deblurring network is used as a deartifact model; during the training of the deep deblurring network, a point spread function and a regularization parameter of the Wiener filter module are used as learnable network parameters; and an image with row smear obtained from a TDI-CCD camera is processed by using the deartifact model to obtain a deartifact image. The application can effectively remove image artifacts and improve the definition of a TDI-CCD image.
Owner:ZHONGBEI UNIV

An imaging system sub-field deconvolution image restoration method based on wave aberration reconstruction

This invention discloses a method for field-of-view deconvolution image restoration of an imaging system based on wavefront aberration reconstruction, belonging to the field of wavefront aberration measurement and computational imaging technology. The method includes: measuring the wavefront aberration of the optical system under test in an imaging system containing detection markers; setting the measured wavefront aberration as the wavefront aberration of the optical system under test in an imaging system containing pinhole arrays, and simulating and generating point spread functions corresponding to different field-of-view blocks; replacing the detection markers with imaging samples, and acquiring the actual image of the imaging samples through the optical system under test as the image to be restored; dividing the image to be restored into field-of-view partitions, performing deconvolution restoration on each block using the corresponding point spread function, and then stitching the restored block images together to obtain a complete restored image. This invention decouples wavefront aberration measurement from image restoration, achieving effective correction of spatially varying aberrations in a large field of view without increasing hardware complexity, significantly improving the restoration accuracy, efficiency, and consistency of the entire field-of-view image.
Owner:ZHEJIANG UNIV

An interference synthetic aperture based full-depth range high lateral resolution OCT imaging method, system and storage medium

PendingCN122259510AImage enhancementPhase-affecting property measurementsHigh resolution imaging3d image
The present application relates to the field of optical imaging technology, and particularly relates to a full-depth-range high-lateral-resolution OCT imaging method, system and storage medium based on interference synthetic aperture. The OCT imaging method comprises sample positioning: moving the point spread function of the sample to a region close to 0 optical path; collecting three-dimensional original data; pre-processing the collected three-dimensional original data to obtain complex signals containing amplitude and phase information; performing three-dimensional Fourier transform on the scattering potential distribution based on a synthetic aperture algorithm to obtain frequency domain signals, correcting the nonlinearity of the spatial frequency by interpolation or frequency domain filtering before interpolation, and then performing inverse Fourier transform to reconstruct the spatial distribution of the scattering potential and obtain three-dimensional image data. The detail information of the defocus region is recovered, high-resolution imaging in the full depth range is ensured, and the inherent contradiction between lateral resolution and focal depth is broken through.
Owner:CHANGZHOU MICROINTELLIGENCE CO LTD

A nonlinear fourier re-weighting image resolution enhancement method and system without point spread function

PendingCN122415331AFrequency spectrumOptical fluorescence
The application discloses a nonlinear Fourier reweighting image resolution enhancement method and system without a point spread function. The method comprises the following steps: acquiring an original digital image; performing Fourier transform on the original digital image to separate an amplitude spectrum and a phase spectrum; constructing a nonlinear mapping function with two adjustable parameters, and performing reweighting processing on the amplitude spectrum by using the function to balance high and low frequency energy of the amplitude spectrum and generate a new amplitude spectrum; recombining the new amplitude spectrum and the original phase spectrum; and performing inverse Fourier transform on the combined spectrum to output a resolution enhanced image. The application does not depend on PSF measurement or estimation, only needs one Fourier transform process, and has high calculation efficiency. The core construction is to directly reweight the amplitude in the frequency domain by using a specific nonlinear function, so that the ill-conditioned problem and artifacts of a traditional deconvolution algorithm are avoided. The application can be widely applied to optical fluorescence microscopy, astronomical imaging and clear processing of general digital images.
Owner:ZHEJIANG UNIV

Imaging device with three-dimensional information measurement function, measuring method for three-dimensional information and imaging method for image with three-dimensional information

A depth is estimated regardless of an imaging target and an imaging condition. An imaging device with a three-dimensional information measurement function includes: a pattern projection unit including a light source and a pattern forming unit that forms a projection pattern of a light beam; an imaging unit including a lens group including at least one lens, a coded aperture that limits external light passing through the lens group in a predetermined coded pattern, a shutter, and an image sensor; and a depth calculation unit configured to obtain, based on a pattern image imaged by the imaging unit and a known point spread function related to the coded pattern, a depth distribution of an image imaged by the imaging unit.
Owner:JAPAN DISPLAY INC

A method for restoring a turbulence-degraded image based on complex amplitude detection

PendingCN122289083AReduce hardware costslow costWavefront sensorPoint spread function
This invention discloses a method for restoring turbulent degradation images based on complex amplitude detection, belonging to the field of computational optics imaging technology. This method constructs a computational optics imaging system without a hardware correction unit. It utilizes a wavefront sensor and an imaging sensor to simultaneously acquire Hartmann images and target degradation images. A computational unit performs wavefront complex amplitude reconstruction and aberration correction. Based on this, a physically constrained end-to-end neural network architecture is designed. By reconstructing the wavefront complex amplitude, it achieves accurate mapping and inference from the Hartmann image to the point spread function of the imaging system. Finally, a multi-scale deconvolutional network is combined to complete high-quality restoration of the turbulent degradation image. This invention eliminates the need for a hardware corrector, overcomes the physical limitations of traditional adaptive optics, effectively solves the problem of insufficient point spread function accuracy, and enables time-delay-free and highly efficient turbulent image restoration under low-cost conditions.
Owner:INST OF OPTICS & ELECTRONICS CHINESE ACAD OF SCI

A quantum state high-fidelity discrimination method and device based on ion automatic positioning

PendingCN122264155AQuantum computersImage enhancementIon trap mass spectrometryPoint spread function
This invention discloses a high-fidelity quantum state discrimination method and device based on automatic ion localization. The invention constructs a dynamic closed-loop compensation system of ion position update, effective discrimination region reconstruction, and adaptive adjustment of discrimination parameters. This system addresses the degradation of discrimination fidelity over time due to imaging drift in multi-ion quantum state discrimination, achieving long-term stability and high-fidelity quantum state discrimination. When constructing the effective discrimination region for ions, a physical constraint model based on the ion trap potential field distribution is introduced, utilizing bright spot features and the physical property of ions aligning along the ion trap axis to form linear ion chains, establishing a correspondence between ions and bright spot regions. By extracting the feature parameters of the point spread function in real-time from the average bright state image, and adaptively constructing local pixel regions highly correlated with the actual fluorescence distribution of ions, random noise interference from background pixels is suppressed to the maximum extent, fundamentally improving the signal-to-noise ratio of multi-ion quantum state discrimination.
Owner:CHANGSHA QUANTUM R&D CENTER CO LTD

A fluorescence image background removal method based on a physical prior-driven training-free neural network

This invention relates to a method for removing background from fluorescence images based on a physical prior-driven, training-free neural network, comprising: S1, establishing an untrained neural network and randomly determining the initial parameters of the neural network; S2, removing the background from the original observation image according to the current parameters of the neural network to obtain a background-removed observation image; S3, adding the estimated values ​​of the focus point spread function, the estimated values ​​of the defocus point spread function, and preset imaging noise to the background-removed observation image to obtain a reconstructed observation image with background; S4, establishing a loss function related to the preset imaging noise, calculating the loss, and obtaining a loss value; S5, cyclically executing steps S2 to S4, iteratively updating the parameters of the neural network according to the loss value until the convergence condition is met, determining the optimal parameters of the neural network, and removing the background from the original observation image using the neural network with the optimal parameters to obtain the optimal background-removed observation image.
Owner:XIAMEN UNIV OF TECH

Ultrasound elastography image denoising and enhancement method

The application relates to the technical field of medical ultrasonic imaging and digital image processing, in particular to an ultrasonic elasticity image denoising and enhancing method, which comprises the following steps: acquiring original ultrasonic elasticity imaging data to be processed, and constructing a structure tensor matrix reflecting local texture directions; solving the anisotropic coherence degree of each pixel point, obtaining a structure attribute discrimination result, and constructing a structure confidence atlas; collecting the point spread function characteristics of an ultrasonic imaging system, establishing a speckle noise statistical model; obtaining a local smoothing coefficient of the first iteration, and performing anisotropic diffusion correction on an initial elasticity distribution matrix to obtain a first modified elasticity image matrix, and updating the structure confidence atlas to obtain a final denoised and enhanced target elasticity image; the application effectively suppresses multiplicative granular speckles, eliminates the ladder effect or artifacts easily generated by conventional methods, and significantly improves the image signal-to-noise ratio.
Owner:THE THIRD PEOPLES HOSPITAL OF KUNMING

Fast spatial convolution method for point spread function

ActiveCN116842303BComplex mathematical operationsAlgorithmConvolution filter
The application provides a point spread function fast spatial convolution method, which comprises the following steps: step 1, calculating an imaging profile and a point spread function field; step 2, determining the spatial position coordinates of the center position of the point spread function by circulation; step 3, determining an interpolation method and calculating the interpolation coefficients of the local imaging profile which contributes to the point spread function; step 4, performing wave number domain fast spatial convolution; step 5, multiplying the profile by the corresponding interpolation coefficients after filtering; and step 6, accumulating the filtering results of the local imaging profile to obtain a final filtered profile. The point spread function fast spatial convolution method can greatly improve the calculation efficiency of the point spread function spatial convolution filtering process and reduce the calculation cost based on the linear accumulation characteristics of the interpolation method.
Owner:CHINA PETROLEUM & CHEMICAL CORP +1

Large depth of field real-time drift correction method and system based on programmable point spread function

ActiveCN121740758BMeet the needs of ultra-high resolution imagingSynchronous response speedPoint spread functionSoftware engineering
This invention discloses a large depth-of-field real-time drift correction method and system based on a programmable point spread function (PSF). This invention achieves wide-range, high-precision drift correction by dynamically switching different PSF modes, solving the problem of the trade-off between axial correction range and accuracy in existing technologies. This invention includes a marker detection module, a dynamic PSF switching module, and a closed-loop control module. It automatically selects the optimal PSF mode based on the real-time detected drift: astigmatic PSF is enabled when |z|≤1 μm, switching to double-helix PSF when 1μm<|z|≤2μm, Bessel PSF when 2μm<|z|≤3μm, and cloverleaf PSF is activated when |z|>3μm. Through adaptive PSF switching, this invention achieves full closed-loop real-time correction within a 6μm axial range, with a drift suppression error ≤2 nm, making it suitable for long-term super-resolution imaging of live cells.
Owner:ZHEJIANG NORMAL UNIV

An extended focal depth microscopic imaging system combined with optical tweezer function

PendingCN122331098AMicro imagingBeam splitting
This invention relates to the field of microscopic observation technology, specifically to an extended depth-of-focus microscopic imaging system incorporating optical tweezers functionality. The system includes a beam generation and combining module, a signal acquisition module, a signal separation module, an image reconstruction module, and an optical tweezers analysis module. The system generates a phase-modulated extended depth-of-focus illumination beam and an optical tweezers manipulation beam, which are then spatially coaxially combined to form a combined beam, which is then guided into the microscope objective to act on the sample region. The acquired optical signal is divided into independent detection channels through beam splitting processing. The imaging channel, combined with a depth-of-field extension point spread function model, optimizes the fusion algorithm to reconstruct the three-dimensional structure of the sample. The optical tweezers monitoring channel analyzes the optical path signal, calculates the three-dimensional position of particles, trapping stiffness, and optical force, and visualizes the three-dimensional relative relationship between these two parameters by combining the imaging results. This scheme achieves integrated design of the imaging optical path and the optical tweezers optical path, optimizes image reconstruction quality under large depth of field, and enables synchronous and collaborative operation of microscopic imaging and optical manipulation.
Owner:WUHAN UNIV OF SCI & TECH +2

A method, device, medium and product for removing complex motion blur from an image

This invention discloses a method, apparatus, medium, and product for removing complex motion blur from images, relating to the field of image processing. The method includes: acquiring a motion image of a moving object in a target scene; performing optical flow tracing on the motion image using dense optical flow to obtain an optical flow map; classifying the pixels in the optical flow map according to the inter-frame displacement direction to obtain multiple masks of different pixel categories; segmenting the motion image using the multiple masks of different pixel categories to obtain multiple image blocks; calculating the point spread function of each image block using a differential autocorrelation function; restoring and recombining all image blocks according to the point spread function to obtain a reconstructed image of the moving object; the reconstructed image is an image with motion blur removed from the motion image. This invention can accurately and efficiently remove complex motion blur from images.
Owner:BEIHANG UNIV

An underwater polarization ghost imaging method and device based on two-stage modulation

ActiveCN122283753BPoint spread functionGhost imaging
The application discloses a two-stage modulation-based underwater polarization ghost imaging method and device, and relates to the fields of optical imaging and ocean detection. The method comprises the following steps: acquiring basic data of a target water area and constructing a backscattering point spread function; performing statistical decorrelation modulation on an original reference speckle sequence based on a first correlation coefficient, a second correlation coefficient and the backscattering point spread function, to obtain a primary modulation reference speckle distribution sequence; performing polarization space modulation on the primary modulation speckle sequence, to obtain a secondary modulation reference speckle distribution sequence; irradiating a target to be detected according to the secondary modulation reference speckle distribution sequence, acquiring a double-polarization bucket detection signal, and constructing a polarization difference signal sequence; and performing correlation reconstruction on the polarization difference signal sequence and the secondary modulation reference speckle distribution sequence, to obtain a reconstructed image. The application solves the problems of serious backscattering interference and insufficient imaging signal-to-noise ratio in a strong turbid underwater environment, and realizes high-quality underwater polarization ghost imaging.
Owner:CHANGCHUN UNIV OF SCI & TECH

Gradient preconditioned image domain least squares reverse time migration method

ActiveCN121784831BSeismic signal processingNeural learning methodsAmplitude distortionAlgorithm
The application discloses a gradient precondition-based image domain least square reverse time migration method and belongs to the field of deep-sea oil and gas field exploration and development. The method aims to solve the problems of imaging amplitude distortion, resolution decline and slow convergence caused by the traditional gradient optimization method due to the neglect of the second-order curvature information of the Hessian matrix. The technical scheme points are as follows: an image domain least square reverse time migration objective function is constructed; the Hessian matrix is approximated based on a point spread function; a training pair of the gradient and the migration gradient is constructed by using the Born scattering theory; an improved U-Net network with a channel-space double attention mechanism is built to learn the mapping relationship of the Hessian inverse matrix in an unsupervised manner; and the trained network is embedded into the optimization framework of a fast iterative shrinkage threshold algorithm as a gradient precondition operator to correct the model updating direction. The application effectively improves the imaging quality of uneven illumination areas and improves the amplitude fidelity and inversion convergence speed.
Owner:SANYA MARINE OIL & GAS RESEARCH INSTITUTE NORTHEAST PETROLEUM UNIVERSITY

An image classification system based on spin-dependent metasurface lens and including the same

PendingCN122362556ANanopillarImaging condition
This invention discloses a spin-correlated metalens and a classification system including it. The metalens comprises a substrate and nanostructure units on top of it. The nanostructure units include nanopillars A and B, which are arranged alternately in a square lattice. Incident light passes through the metalens to obtain left-handed and right-handed circularly polarized outgoing light. Nanopillars A and B introduce propagation phase delay through their structural dimensions and geometric phase through rotation angles, respectively, thereby jointly achieving independent amplitude and phase modulation of left-handed and right-handed circularly polarized light. This invention, by combining spin-correlated metalens with polarization phase-shift interference reconstruction, overcomes the physical limitations caused by the loss of point spread function phase information under incoherent imaging conditions. It realizes incoherent optical loading and convolution calculation of arbitrary signed, trainable convolution kernels in the intensity domain, fundamentally solving the problem that traditional incoherent optical systems cannot perform positive and negative weighted convolution.
Owner:NANJING UNIV

Infrared turbulence degradation image simulation method based on unreal engine

ActiveCN120088422BReal-time turbulence blur effectkeep detailsImage enhancementImage analysisComputer graphics (images)Point spread function
This invention proposes a method for simulating infrared turbulence degradation images based on Unreal Engine. The steps are as follows: constructing a 3D mountain simulation scene based on Unreal Engine; generating a blurred kernel texture image based on a calculated 2D point spread function; rendering the 3D mountain scene using Unreal Engine, convolving the rendered result with the blurred kernel texture image, and obtaining the simulated infrared turbulence degradation image through the convolution result. This invention achieves real-time turbulence blurring of the mountain scene by performing parallel convolution on each frame of the rendered 3D mountain scene with the blurred kernel texture image generated based on the 2D point spread function. The obtained real-time turbulence blurring effect preserves the details of the terrain well. It also considers the influence of the spatial frequency response information of the imaging system itself and the attenuation effect of atmospheric turbulence on image detail transmission, effectively improving simulation accuracy. Furthermore, parallel convolution reduces the complexity of generating the real-time turbulence blurring effect of the mountain scene, exhibiting good real-time performance.
Owner:XIDIAN UNIV +1

Image processing method with cross-modal transfer point spread function decoupling and related components

This invention discloses an image processing method and related components for decoupling the cross-modal migration point spread function. The method includes: selecting calibration samples and recording a first modal image stack and a second modal image stack; preprocessing the first modal image stack to obtain an emission field estimation result; spatially registering the emission field estimation result with the second modal image stack; using the registered emission field estimation result and the second modal image stack as physical constraints to establish an inverse problem model; optimizing and solving the inverse problem model to obtain the migration point spread function characterizing the mapping relationship from the first imaging modality to the second imaging modality; acquiring the first modal image stack of the tested sample, and performing inversion reconstruction based on the migration point spread function to obtain an equivalent image of the second imaging modality. This invention is based on a common emission field formation mechanism and achieves computational migration reconstruction from a low-performance imaging modality to a high-performance imaging modality by constructing sample priors and decoupling the migration point spread function.
Owner:SHENZHEN UNIV

An image reconstruction method for physical degradation perception of planar diffractive lens array

This invention proposes an image reconstruction method for physical degradation sensing of planar diffraction lens arrays. It utilizes a deep learning network integrating an optical degradation sensing mechanism to optimize sub-aperture feature fusion and weight allocation strategies, improving the imaging contrast and detail recovery accuracy of planar diffraction lens arrays. The method includes: acquiring a sequence of monochromatic sub-aperture images of the planar diffraction lens array carrying spatially non-stationary blur and diffraction degradation features; implicitly aligning the feature responses of each sub-aperture using an edge enhancement feature alignment module; constructing a pseudo-array feature representation; introducing a physically prior-guided weight modulation strategy during adaptive grouping upsampling, learning the distribution law of spatially heterogeneous point spread functions through degradation sensing units, and spatially adaptively modulating the feature contribution; and finally reconstructing a high-quality grayscale image. This invention significantly suppresses the diffraction blur and low contrast phenomena unique to planar diffraction lenses, better sensing optical degradation distribution and preserving high-frequency details in the image. It also provides a new approach for subsequent joint reconstruction research of arrayed lightweight imaging systems.
Owner:NANJING UNIV OF SCI & TECH

A method and system for controlling the display of a computer LCD monitor

This invention relates to the field of display technology, specifically to a display control method and system for a computer LCD monitor. The method includes: acquiring a low dynamic range image, normalizing its brightness, and generating a mask indicating exposure / saturation areas based on a saturation threshold; inputting the image and mask into a high dynamic range reconstruction network to obtain a reconstructed high dynamic range image; combining its color and brightness channels into a tensor input local dimming network to output a backlight prediction image consistent with the display resolution; simulating a diffuser plate based on point spread function convolution and calculating the average brightness of sub-regions according to the LED array to generate a backlight control image; calculating and cropping the transmittance from the reconstructed image and the diffused backlight image to form a grayscale control image for the LCD panel; simultaneously sending the backlight control image and the grayscale control image to drive the backlight module and the LCD panel to achieve high dynamic range display. This invention solves problems in existing computer LCD monitors, such as the difficulty in fully utilizing the backlight local dimming potential of low dynamic range input images, the difficulty in simultaneously achieving bright area saturation and dark area detail, and the high backlight power consumption and susceptibility to halo artifacts while improving contrast.
Owner:HUIZHOU WANDONG COMPUTER TECH CO LTD

A method for improving the quality of a two-dimensional image of a three-dimensional object, and the corresponding data processing system and device.

Method for improving the quality of a two-dimensional image of a three-dimensional object, and corresponding data processing system and device. The present invention relates to a method (100) for improving the quality of a two-dimensional image (IM_in) of a three-dimensional object (15) for the purpose of positioning a defect (12) comprising supplying as input an initial two-dimensional image (IM_in) of the object (15), of a minimum distance (Dmin(Δi)) and of a maximum distance (Dmax(Δi)) between the object (15) and a source (25) along at least one projection direction (Δi);for a plurality of reference distances (Dref,i,j) relative to the source (25) along the projection direction (Δi), the determination (110) of at least one respective geometric point spreading function (PSFi,j) associated with a representative model of the radiation source (25) for a reference point virtually positioned in the object (15) at said reference distance (Dref,i,j) along the projection direction (Δi); the generation (120) of respective two-dimensional deconvolved images (IM_deconv,i,j) of the initial image based on the respective geometric point spreading function (PSFi,j); and, as output, the provision of a two-dimensional final image (IM_fin) selected from the generated images and / or the respective reference distance (Dref,fin) associated with the final image. Figure for the abstract: 4;
Owner:INTERCONTROLE SA +1

Multiplexed super-resolution label-free nonlinear microscopy

Super-resolution label-free microscopy is provided using multiplexed, temporally modulated acquisition patterns of emission point spread functions (“PSFs”). Supercontinuum ultrafast pulses can be used to enhance nonlinear processes, such as autofluorescence and harmonic generation, in order to provide super-resolution imaging of nonlinear label-free signals. Images can be reconstructed using various reconstruction techniques, including pixel reassignment, wavelet reconstruction, and deep learning model-based reconstructions.
Owner:THE BOARD OF TRUSTEES OF THE UNIV OF ILLINOIS

An infrared small target detection method and system based on point spread function guidance and path intersection alignment

The application discloses an infrared small target detection method and system based on point spread function guidance and path cross alignment, wherein the target detection method comprises the following steps: S1, acquiring original infrared small target image data and performing pretreatment to obtain a processed data set; S2, constructing a double-flow feature extraction network, inputting the pretreated image data, performing parallel extraction in the network, and obtaining multi-scale semantic features and initial edge features; S3, inputting the multi-scale semantic features and the initial edge features into an edge information enhancement module to perform feature projection, geometric calibration and modulation fusion processing, and outputting edge enhanced features; S4, inputting the multi-scale deep layer semantic features into a cross-path alignment module, performing alignment and deep fusion of feature spaces through a bidirectional cross attention mechanism, and obtaining a target perception feature map; and S5, performing target prediction on the target perception feature map, and performing supervised training and optimization by using a loss function.
Owner:CHINA JILIANG UNIV

Mini LED direct display lighting defect intelligent detection system based on image recognition

PendingCN122367964APoint lightDisplay device
This invention relates to the fields of machine vision and optoelectronic display inspection technology, specifically to an intelligent detection system for MiniLED direct-light display lighting defects based on image recognition. The system includes: an image acquisition unit for acquiring surface-emitting images of a MiniLED direct-light display device as initial image data; a light field potential energy initialization unit for receiving the initial image data, extracting the pixel brightness matrix, and converting the pixel brightness matrix into a floating-point light field potential energy map; a light field divergence decoupling unit for generating a light field divergence distribution map; an intrinsic divergence stripping unit for loading a pre-calibrated ideal point spread function convolution kernel of a defect-free emitting unit, simultaneously generating a stripping residual distribution map containing sub-pixel level distortion data; and a defect classification and compensation closed-loop unit for performing conditional classification based on the intrinsic divergence peak matrix and outputting a structured defect correction mask map and the optical compensation reference matrix. This invention effectively avoids the defect coordinate drift problem in traditional solutions.
Owner:QIAOKE TECHNOLOGY (GUANGDONG) CO LTD

Dynamic star point positioning method, device and equipment based on effective line spread function

PendingCN122237552AImage analysisNavigation by astronomical meansImaging conditionComputer graphics (images)
This application provides a dynamic star point localization method, apparatus, and device based on an effective line spread function, relating to the field of optical imaging measurement technology. The method includes: estimating the trailing parameters of a star point image based on the coarsely estimated coordinate position changes of the star point image on adjacent frames of starscape images; the coarsely estimated coordinate position characterizing the center position coordinates of the star point image obtained by calculating the centroid of the star point image using the threshold centroid method; establishing an effective line spread function under the current motion conditions based on an effective point spread function pre-established under static imaging conditions, and combining the trailing parameters; the effective line spread function characterizing the energy distribution pattern of the trailing star point image obtained by integrating the effective point spread function along the trailing trajectory; and using the effective line spread function to perform localization calculations on the imaging data of the trailing star point image to obtain a finely estimated coordinate of the star point image.
Owner:TSINGHUA UNIVERSITY

An improved method of relative photometry of supersaturation probe images

The application discloses a relative photometry improvement method for an oversaturated detection image, belongs to the technical field of astronomical image photometry, and aims at solving the problem that the nonlinear truncation of the observed light flux is caused by the oversaturation of the gray value of a star in an existing astronomical image, and the systematic deviation exists in a classical relative photometry model in a star apparent magnitude estimation method. The method comprises the following steps: based on a point spread function model of saturation truncation, a mathematical relationship between the total light flux of a star and the observed light flux of the star in an astronomical oversaturated detection image is established; according to the mathematical relationship, a relative photometry improvement model is established; based on the observed light fluxes of a plurality of known stars and corresponding reference apparent magnitudes, an iterative optimization algorithm is adopted to iteratively optimize the relative photometry improvement model, and the optimal model parameter in the model is solved; and based on the optimal model parameter and the observed light flux of a target to be measured, the apparent magnitude estimation value of the target in the astronomical oversaturated detection image is obtained through the relative photometry improvement model.
Owner:AEROSPACE INFORMATION TECH UNIV +1