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613 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.

Cancer image denoising method and system based on multi-scale neural network

The invention discloses a cancer image denoising method and system based on a multi-scale neural network, and the method comprises the steps: carrying out the adaptive segmentation of a cancer image, carrying out the noise estimation and statistical analysis of each segmented region, and automatically adjusting the denoising parameters; performing multi-scale feature extraction by adopting wavelet transform and pyramid decomposition, and analyzing and processing the image after parameter adjustment; performing quality evaluation and distortion detection on the image after multi-scale processing, automatically identifying and positioning artifacts and distortion, and correcting and compensating interference by adopting a point spread function inversion and Wiener filtering method to obtain a corrected image; and after histogram equalization and contrast-limited adaptive histogram equalization are applied to the corrected image, denoising processing is carried out by using a convolutional neural network in combination with sparse representation and a dictionary learning algorithm, and a denoising result is obtained. According to the method, noise in different types of cancer images can be effectively removed, meanwhile, key diagnosis information is reserved, and the image quality and definition are improved.
Owner:CHANGSHU INSTITUTE OF TECHNOLOGY

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)

Emotion recognition method based on millimeter wave radar and robot

The invention relates to an emotion recognition method based on a millimeter-wave radar and a robot. The method comprises the following steps: receiving a transmitting signal of the millimeter-wave radar and a corresponding echo signal, converting the transmitting signal and the corresponding echo signal into a point cloud format, and removing static reflection to obtain dynamic point cloud data and a timestamp of a surrounding environment; grouping the dynamic point cloud data into clusters; obtaining a centroid estimation value of the target, and tracking the centroid estimation value; sending the millimeter wave signal which horizontally moves at a constant speed to a target person, and receiving echo signals which are reflected by the target person and are uniformly spaced; point spread function optimization is carried out, and SAR image reconstruction is carried out by using a fast frequency domain near-field imaging method; calculating to obtain phase change of the human body signal, and separating to obtain respiration and heartbeat signals of the target person; and extracting emotion related features to obtain the current emotion of the target person. Compared with the prior art, the specific position of the human body can be accurately recognized, and non-contact privacy protection emotion recognition can be remotely achieved.
Owner:SOUTHEAST UNIV

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

Image processing metasurface design method based on complex amplitude modulation

The invention belongs to the technical field of image processing, and provides an image processing metasurface design method based on complex amplitude modulation, which comprises a dielectric metasurface consisting of a silicon dioxide substrate and alpha-S nano-columns on the substrate, and adopts a dielectric nano-column arrangement method based on a geometric phase physical concept. Enabling the point spread function of the metasurface to be equal to a specific convolution kernel, and carrying out image processing operation according to the principle that the response of an image through a system corresponds to the convolution of the image and the point spread function of the system; according to the method, a dielectric nano-column arrangement method based on a geometric phase physical concept is adopted, so that the point spread function of the metasurface is equal to a specific convolution kernel, edge detection and second-order differential image processing operation are carried out by utilizing the principle that the response of an image through a system corresponds to the convolution of the image and the point spread function of the system, and the detection precision of the metasurface is improved. According to the method, the size of the optical convolution layer is greatly reduced, and the integration level and the operation speed are improved.
Owner:NANJING UNIV +1

Image filtering method based on eye movement tracking, near-eye display method and system, head-mounted display, medium and product

The invention discloses an image filtering method based on eye movement tracking, a near-eye display method and system, a head-mounted display, a medium and a product, and is applied to the technical field of display of the head-mounted display. The method comprises the steps of obtaining a gaze point position of human eyes in a display area; determining a gaze point area of the gaze point in a display area based on the gaze point position; generating a target point spread function of the staring point area by combining an interpolation algorithm based on the pre-calibrated point spread function of each position in the display area; and filtering the gaze point region in the rendered image based on the target point spread function to perform defocused spot correction. According to the method, defocused spot correction can be carried out on the gazing point area with relatively high influence on the display effect, the filtering processing amount is relatively small, the required computing power is relatively low, and the display effect is improved under the condition that the frame rate or the resolution of the head-mounted display is not influenced.
Owner:YONGJIANG LAB

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

Backlight diffusion parameter generation method, display control method and device and display device

The invention discloses a backlight diffusion parameter generation method, a display control method and device and a display device. The backlight parameter generation method comprises the following steps: selecting and measuring illumination diffusion data of at least one light-emitting area in a plurality of light-emitting areas of the display device, brightness data of a plurality of pixels on the display panel and distance data between positions corresponding to the plurality of pixels and a position where the lighted light-emitting region is located (110); preprocessing the illumination diffusion data to obtain effective pixels (120); performing function fitting according to the data corresponding to the plurality of effective pixels to obtain a point spread function representing the relationship between the diffusion brightness and the diffusion distance (130); a backlight diffusion parameter lookup table is stored, and the backlight diffusion parameter lookup table comprises a plurality of diffusion distance binding points and diffusion brightness corresponding to each diffusion distance binding point and further comprises diffusion slopes between every two adjacent diffusion distance binding points. The diffusion slope is used for interpolation calculation of diffusion brightness corresponding to the diffusion distance between the two diffusion distance binding points (140).
Owner:BOE TECHNOLOGY GROUP 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

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

Pinpointing single molecule positions with in situ point spread function retrieval for three dimensional nanoscopy of whole cells and tissues

ActiveUS12210167B2Image enhancementImage analysisPupil functionEntire cell
A method of in situ point spread function (PSF) retrieval is disclosed which includes encoding 3D location of molecules into PSFs, receiving molecule-generated images containing PSFs, segmenting the images into sub-PSF, initializing template PSFs from a pupil function, determining a statistical measure of a predetermined function between the sub- and template PSFs, associating each of the sub-PSFs with a template PSF, aligning and averaging the sub-PSF, applying a phase retrieval algorithm to the averaged sub-PSFs to update the pupil function, regenerating the template PSFs, repeating until a difference between a new and a prior generation pupil function is below a predetermined threshold, generating in situ PSFs from the last pupil function, and applying a maximum likelihood estimation algorithm based on the in situ PSFs and the sub-PSF to thereby generate lateral and axial locations of molecules.
Owner:PURDUE RES FOUND

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

Optimization method and system for large-scale ghost imaging search and rescue system in foggy environment

The present invention proposes a method and system for optimizing a large-scale ghost imaging search and rescue system in a foggy environment. The method selects a light source based on ZEMAX, and places a beam splitter behind the light source to form two light beams, obtains a detection light path and a reference light path, sequentially arranges a lens, an object to be detected, and a barrel detector on the detection light path, and arranges a layer of fog simulation on the lens object to be detected, and arranges a surface detector on the reference light path, and simulates through ZEMAX, obtains the light field and light intensity of the two detectors, calculates the Gaussian point spread function width according to the relationship between the light field and the light intensity, calculates the depth of field according to the lens parameters, and optimizes to minimize the Gaussian point spread function width and maximize the depth of field as optimization targets to obtain the optimal imaging parameters. The present invention uses Mie scattering combined with the concept of depth of field in traditional imaging to optimize the parameters of the ghost imaging system, so as to achieve large-scale imaging in a foggy environment.
Owner:EAST CHINA JIAOTONG UNIVERSITY

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

High-precision fluorescence modulation super-resolution microscopic imaging method

ActiveCN119470372AFluorescence/phosphorescenceFluorescence modulationSpatial light modulator
The invention discloses a high-precision fluorescence modulation super-resolution microscopic imaging method which is applied to the technical field of optical microscopic imaging. According to the novel high-precision fluorescence modulation super-resolution imaging technology, first-order Bessel annular light with a smaller point spread function is used for replacing common annular light generated by modulating Gaussian light through a vortex phase plate in the traditional technology, and the problem that the resolution ratio is insufficient in an existing fluorescence subtraction microscopy technology can be solved. The problem of image distortion caused by a negative side lobe is solved, the visibility and authenticity of a fine structure in an image are enhanced, and when any type of laser scanning confocal microscopy system and a fluorescence subtraction super-resolution imaging technology are oriented, only a wavefront control light path comprising a spatial light modulator and a Fourier lens needs to be added in an optical system, and the optical system can be used for controlling the optical system. Compared with the traditional super-resolution technology, the technology has the advantages that the complexity and cost of the system are reduced, the harm of photobleaching is reduced, the technology can be combined with other imaging technologies for use, and the imaging precision and the imaging quality are improved.
Owner:SHENZHEN UNIV

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

Super-resolution imaging system and super-resolution method based on phase coding

The invention discloses a super-resolution imaging system and a super-resolution method based on phase coding, which are used for improving the imaging resolution and the imaging signal-to-noise ratio of a visible light imaging system. The system is composed of an imaging main lens 1, a first 4f relay lens 2, a phase mask plate 3, a second 4f relay lens 4, a camera 5 and an electric rotating table 6, and a system transfer function has anisotropy on a certain frequency component by optimally designing a phase function of the phase mask plate. The phase mask plate 3 is controlled to rotate and regulate through the electric rotating table 6, a series of coded low-resolution images are collected through the camera 5, combined constraint iteration of the spatial domain and the frequency domain is combined, the collected images are reconstructed until algorithm convergence is achieved, and a reconstructed image breaking through Nyquist sampling is obtained. Compared with the method based on intensity mask coding, the method has the advantages that anisotropy regulation and control of the point spread function can be realized under the condition that luminous flux is not lost, and the imaging resolution is improved by more than 2.5 times.
Owner:NANJING 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

Optical frequency domain reflectometer image signal denoising method and measuring method based on deconvolution

The invention provides an optical frequency domain reflectometer image signal denoising method and measurement method based on deconvolution. The denoising method comprises the following steps: converting reference and measurement signals of an OFDR (Optical Frequency Domain Reflectometer) into distance domain reference signals and measurement signals by adopting FFT (Fast Fourier Transform); dividing a scattering medium for measurement into a plurality of sections according to the spatial resolution of the OFDR, and converting distance domain reference and measurement signals of each section into time domain reference and measurement signals by adopting STFT (Short Time Fourier Transform); calculating a cross-correlation spectrum curve of each segment of corresponding time domain reference and measurement signals to obtain a cross-correlation two-dimensional image; autocorrelation is carried out on the time domain reference signal of each segment, and an autocorrelation two-dimensional image is obtained; taking a main lobe, corresponding to a cross-correlation peak, of each section in the cross-correlation two-dimensional image as a wavelength interception range of the section, and intercepting an image located in the wavelength interception range of the section from each section of the self-correlation two-dimensional image as a point spread function (PSF); and de-noising the cross-correlation two-dimensional image by adopting deconvolution according to the PSF. According to the invention, the problem that the OFDR cannot carry out image signal denoising based on deconvolution is solved.
Owner:CHONGQING 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

Systems and methods for local dimming in multi-modulation displays

Dual and multi-modulator projector display systems and techniques are disclosed. In one embodiment, a projector display system comprises a light source; a controller, a first modulator, receiving light from the light source and rendering a halftone image of said the input image; a blurring optical system that blurs said halftone image with a Point Spread Function (PSF); and a second modulator receiving the blurred halftone image and rendering a pulse width modulated image which may be projected to form the desired screen image. Systems and techniques for forming a binary halftone image from input image, correcting for misalignment between the first and second modulators and calibrating the projector system—e.g. over time—for continuous image improvement are also disclosed.
Owner:DOLBY LABORATORIES LICENSING CORP