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521 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.

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

Full-focusing super-resolution imaging method based on deconvolution

The invention discloses a deconvolution-based full-focusing super-resolution imaging method, and relates to the technical field of full-focusing super-resolution imaging, and the method specifically comprises the steps: 1, carrying out the data collection based on a full-matrix collection mode, and carrying out the initial image reconstruction through a full-focusing method, and 2, carrying out the reconstruction of an initial image through the analysis of a point spread function of an imaging system, the method comprises the following steps: step 1, establishing a physical convolution model to describe a fuzzy effect in an imaging process, and step 2, by taking minimization of an imaging error as a target and introducing sparse constraint, promoting generation of non-zero reaction only at a position where a defect actually exists in a reconstructed image and inhibiting background noise and artifacts. A point spread function modeling imaging process is introduced, sparse deconvolution solution is carried out on defect distribution by utilizing a fast iteration threshold method, and a super-resolution imaging scheme which has a physical basis and is high in robustness and calculation efficiency is provided for guided wave ultrasonic imaging.
Owner:NINGBO ORIENTAL UNIV OF TECH (TEMPORARY NAME)

Microscopic system out-of-focus identification and restoration method

The invention discloses an out-of-focus identification and restoration method for a microscopic system. The method comprises the following steps: 1, preparing a microscopic out-of-focus image data set and carrying out degradation modeling; 2, constructing an out-of-focus parameter prediction network based on multi-label parameter reasoning and microscopic system priori knowledge and an image restoration network based on a generative adversarial network, performing independent training, and then performing merging training through a circulation system formed by mutual connection based on predicted point spread function convolution and deconvolution operation; 3, model fine tuning based on a specific system and a new data set; and 4, performing model testing, performing large-view image sliding window detection and collage fusion, and explicitly outputting defocus parameters of the system during image shooting. The method can be applied to out-of-focus fuzzy recognition and restoration of microscopic imaging of various systems, and is beneficial to the accuracy of functions such as particle counting and particle size statistics of the systems, thereby further promoting the application of the full-depth-of-view microscopic system in biomedical detection.
Owner:FUDAN UNIVERSITY

Titanium dioxide super-lens large-view-field achromatic imaging method and device

The invention discloses a titanium dioxide super-lens large-view-field achromatic imaging method and device, and the method comprises the steps: building a simulation model through a time domain finite difference method, and obtaining the phase amplitude corresponding relation of TiO2 nano-column units under different sizes; and according to a first target function preset by single-wavelength super-diffraction focusing, reversely designing and iteratively optimizing the surface phase of the TiO2 super-lens by using a genetic algorithm to obtain the single-wavelength super-diffraction super-lens. And then, optimizing the genetic algorithm, and reversely designing and optimizing the phase of the single-wavelength super-diffraction super-lens again in combination with a Rayleigh-Sommerfeld diffraction formula and a second target function preset by broadband achromatism to obtain the broadband achromatism super-diffraction super-lens. And finally, point spread functions with different off-axis degrees are optimized by means of an exhaustion algorithm and an angular spectrum theory, and large-view-field achromatic super-diffraction imaging is realized. The invention effectively solves the problems of large aberration, obvious chromatic aberration, limited resolution, difficulty in parameter regulation and control and poor off-axis imaging performance of the traditional optical lens and the existing super lens in large-view-field imaging.
Owner:ZHEJIANG SCI-TECH UNIV

Self-adaptive optical system non-common-path aberration correction method based on neural network

The invention discloses an adaptive optical system non-common-path aberration correction method based on a neural network. The adaptive optical system non-common-path aberration correction method comprises the following steps: constructing a lightweight neural network CP-Net; simulating and generating a perfect point spread function image; generating a deformable mirror control voltage matrix based on the image; taking the voltage matrix as the input of CP-Net for training, and ending the training when the loss function value is smaller than a preset minimum value; the trained CP-Net is connected to an actual control loop, real-time images acquired by a scientific camera are received, and perfect reference voltage is generated and directly used for controlling and changing the mirror surface type of the deformable mirror. According to the method, the deformable mirror control command can be directly generated, aberration does not need to be measured, real-time automatic adjustment can be achieved, compared with a traditional phase diversity method and a stochastic gradient descent algorithm, the operation difficulty can be greatly lowered, the correction time can be greatly shortened, and an operator does not need to manually adjust related parameters in the correction process.
Owner:NANJING ZHONGKE ASTROMOMICAL INSTR

Atmospheric turbulence degradation simulation method

The invention discloses an atmospheric turbulence degradation simulation method. The method comprises the following steps: calculating Zernike coefficients under different temperatures and air pressures; calculating the spatial correlation of the Zernike coefficient, and performing tilt processing on the input image according to the spatial correlation to obtain a distorted image; constructing a non-tilt point spread function data set based on a Zernike coefficient; and based on the non-tilt point spread function data set and the Zernike coefficient, performing fuzzy processing under the turbulence influence on the distorted image by using a preset lightweight network based on a channel attention mechanism to obtain a turbulence degraded image. According to the method, a Tatarski formula is introduced into a Kolmogorov turbulence model, so that the purpose of image degradation simulation by atmospheric turbulence at different temperatures and air pressures is achieved; and by adopting a processing sequence of firstly inclining and then blurring, the shape integrity of blurring is reserved, and the actual turbulence degradation effect can be described more accurately.
Owner:XIDIAN UNIV

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

Vortex electromagnetic wave radar multipath virtual image suppression method and system

The invention provides a vortex electromagnetic wave radar multipath virtual image suppression method and system, and relates to the technical field of radar imaging virtual image suppression, and the method comprises the steps: adjusting the circular ring radiuses corresponding to different modes in a uniform concentric circular ring array according to the prior information of a target pitch angle, and obtaining the radar emission configuration of main lobe alignment; performing time domain sampling on the multi-path vortex radar echo signal in each mode to form a two-dimensional radar echo matrix; analyzing the obtained two-dimensional radar echo matrix and the MISO system echo after phase compensation by using an azimuth dimension point spread function to obtain dual-system imaging features; and performing modal domain FFT and time domain pulse compression processing on the multipath echo features under the MISO and MIMO systems by using fast Fourier transform and pulse compression, and finally outputting a virtual image suppressed synthetic radar image. The multi-path virtual image suppression method has the beneficial effects that the suppression of the multi-path virtual image is realized by utilizing the characteristic that the real image positions of the imaging results are completely the same and the virtual image positions are different under the multi-transmitting and single-receiving systems.
Owner:SOUTHWEST JIAOTONG UNIV

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

Method for generating reflection angle domain point spread function based on LSTM network

The invention discloses a method for generating a reflection angle domain point spread function based on an LSTM network, and belongs to the technical field of geophysical exploration, and the method comprises the following steps: S1, selecting a reference point, and constructing a label through ray tracing and wave equation forward modeling; s2, training an LSTM (Long Short Term Memory) network as a ray tracing agent model of the whole space of an imaging domain; s3, predicting a travel time gradient and an amplitude factor through a ray tracing agent model; s4, combining the seismic source and the geophone in pairs, and calculating a reflection angle through the travel time gradient; s5, solving an illumination wave number vector, and solving a wave number domain point spread function in combination with the illumination intensity; s6, performing inverse Fourier transform on the wavenumber domain point spread function to obtain a spatial domain point spread function; and S7, solving a deconvolution problem to optimize the angle gather. According to the method, the calculation efficiency of solving the Green function through seismic wave ray tracing can be improved, the imaging response described by the point spread function is eliminated from the imaging result, and the balance of the resolution of the imaging result and the illumination intensity can be improved.
Owner:XI AN JIAOTONG UNIV

Three-dimensional ultrasonic imaging method and system, computer equipment and computer program product

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

Jitter fuzzy simulation method and system for road disease detection camera

The invention provides a jitter fuzzy simulation method and system for a road disease detection camera, and relates to the technical field of computer vision, and the method comprises the steps: obtaining multi-source sensing data of a road disease detection camera platform, comprising color images, camera imaging geometric parameters, acceleration and angular velocity data acquired by an inertial measurement unit, and depth information acquired by a laser ranging module; based on the multi-source sensing data, reconstructing a continuous displacement track of the camera in a three-dimensional space; mapping the reconstructed continuous displacement track to an image plane to form a non-uniform point spread function; performing fuzzy convolution on the obtained color image through a non-uniform point spread function to generate a simulated jitter fuzzy image; through combined assistance of the laser ranging module and the inertial measurement unit, the complex jitter process of the road detection platform is truly restored, a high-fidelity image sample is provided for training and evaluation of a disease detection algorithm, and the robustness and adaptive capacity of the algorithm under non-ideal conditions are remarkably improved.
Owner:SHANDONG UNIV

Automatic focusing method and microscope image acquisition equipment

The invention relates to the technical field of image processing and automatic focusing, in particular to an automatic focusing method and microscope image acquisition equipment. According to the method, the adaptive Gaussian filtering and the point spread function model are combined, the fuzzy parameters are dynamically adjusted on the basis of global fuzzy characteristic description, and the local blurring of the image is effectively optimized. According to the method, a multi-dimensional evaluation auxiliary mechanism is introduced, the quality of a focal length position is comprehensively evaluated by analyzing fuzzy parameters and a target detection result in real time, the coverage capability of a target is optimized while the focusing precision is ensured, and stable focusing in a complex scene is ensured. According to the method, dynamic search and fine optimization strategies are combined, accurate positioning is achieved through small-range dynamic search near the focal length plane, and the local optimum problem is avoided while the focusing efficiency is improved. According to the method, the ambiguity, target detection and image definition are optimized in real time in image processing, the robustness and precision of the focusing process are improved, and the method is suitable for the fields of biomedicine, nondestructive testing, unmanned driving and the like.
Owner:SUZHOU BOUNDLESS MEDICAL TECH CO LTD

Underwater polarization imaging device and method based on interference-free coded aperture correlation holography

The invention discloses an underwater polarization imaging device and method based on interference-free coded aperture correlation holography, and belongs to the field of computational optical imaging. According to the technical scheme, on the basis of an interference-free coded aperture correlation holographic system, two light paths are utilized, a target object hologram and a point spread function are synchronously collected through cross-polarization double light paths (0 degree and 90 degrees), after target information light is separated out through an underwater polarization imaging model, low-frequency background noise is filtered out through a nonlinear filtering reconstruction algorithm, and the target object hologram and the point spread function are obtained. And the phase-coded high-frequency object structure information is reserved, and the global estimation precision is optimized. According to the method, a complex optical path of traditional polarization imaging is simplified, the influence of local noise on polarization parameters is avoided, the image definition and the signal-to-noise ratio in a turbid underwater environment can be effectively improved, and the method is suitable for high-scattering scenes such as marine resource exploration, underwater robot navigation and military underwater target detection.
Owner:HARBIN UNIV OF SCI & TECH

Deconvolution super beam forming method and system for multi-beam sonar image

The invention discloses a deconvolution super beam forming method and system for a multi-beam sonar image, and belongs to the field of sonar image processing. Collecting multi-beam sonar data, and creating a target characteristic database; generating a point spread function for deconvolution by using a super beam forming method; the azimuth spectrum is optimized through a Richardson-Lucy iterative algorithm; adjusting algorithm parameters, and verifying the performance of the optimized Dcv-HBF algorithm through simulation and experiments; and outputting a clear target sonar image for target detection and background noise suppression analysis. According to the method, the principle of hyper-beam forming HBF and the principle of deconvolution conventional beam forming Dcv-CBF are combined, an HBF beam pattern serves as a point spread function PSF, deconvolution is conducted on the orientation spectrum of the HBF through the R-L iterative algorithm, the spatial spectrum of Dcv-HBF is generated, and the spatial resolution and background noise suppression capacity of sonar imaging are improved.
Owner:HARBIN ENG UNIV

Unmanned aerial vehicle image restoration method, system and device based on inertial sensor

The invention provides an image restoration method based on an inertial sensor under vibration of an unmanned aerial vehicle. The technology is specially used for carrying out optimization processing on images shot by the unmanned aerial vehicle in a vibration environment. The quality of an image damaged by vibration of the unmanned aerial vehicle is recovered and improved by using the inertial sensor. The method comprises the following steps: acquiring angular velocity and acceleration information of the unmanned aerial vehicle in real time by using an inertial sensor within exposure time of an image acquisition device; mapping the movement track of the unmanned aerial vehicle in the three-dimensional space to an image plane according to the angular velocity and acceleration information of the unmanned aerial vehicle to form a two-dimensional image point movement track; generating a corresponding point spread function (PSF) for each image point in the image according to the two-dimensional image point movement track obtained by mapping; and performing restoration processing on an image acquired by the unmanned aerial vehicle by using the generated point spread function so as to eliminate motion blur and improve image quality.
Owner:TIANJIN POLYTECHNIC UNIV

Monocular four-dimensional imaging device and method based on metasurface

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

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

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

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

Novel on-chip coding calculation type hyperspectral imager

The invention discloses a novel on-chip coding calculation type hyperspectral imager, and relates to the technical field of spectral imaging. The system specifically comprises an optical imaging assembly which is used for carrying out space focusing on light of a target scene to form a two-dimensional light field; the spectrum coding module is used for modulating the spectrum information of the two-dimensional light field through a periodic micro-nano structure array to generate a coded light signal; the photoelectric sensor is used for converting the coded optical signal into digital image data; the spectrum reconstruction module is used for decoding the digital image data based on a deep learning algorithm and generating a three-dimensional data cube containing space-spectrum information; wherein the periodic distribution parameter of the micro-nano structure array is matched with the point spread function characteristic of the optical imaging assembly. The invention aims to reduce the manufacturing cost of a spectrum encoder, improve the production efficiency of the spectrum encoder and solve the matching problem of the spectrum encoder and an imaging system.
Owner:HEFEI INSTITUTE OF PHYSICAL SCIENCE CHINESE ACADEMY OF SCIENCES

Three-dimensional fluorescence spectrum image super-resolution reconstruction method for water quality detection instrument

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

Image deblurring method and system based on energy distribution model

The invention discloses an image deblurring method and system based on an energy distribution model, and relates to the technical field of image processing, and the method comprises the steps: building a pixel energy distribution model through analyzing the blurring cause of an image collected by a diffraction limited system; taking an image plane region corresponding to the pixel as a basic unit, and performing convolution operation by using a point spread function and a pixel description function to obtain a pixel energy distribution model; determining a mathematical description form of a point diffusion spot and determining an Airy spot radius so as to calculate energy distribution of a single pixel; dividing the pixel energy distribution model into designated areas, and calculating the energy ratio of each area; deducing a blurring-removing operator based on the energy ratio; and performing convolution operation on the original image and the deblurring operator to complete deblurring processing of the image. Through the image deblurring method based on the energy distribution model, the definition of the image acquired by the diffraction limited system is improved.
Owner:HUAQIAO UNIVERSITY

Robust multiscale x-ray super-resolution reconstruction

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