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Physics-guided deep unfolding network for snapshot 3D imaging using double-helix point spread function 认领 引用
1
作者 Gang Qu Pengwei Wang +4 位作者 Xing Liu Haomiao Zhang Mengyuan Liu Zhentao Liu Xin Yuan 《Advanced Photonics Nexus》 CSCD 2026年第5期175-191,共17页
Point spread function(PSF)engineering is a promising approach for passive,snapshot 3D imaging with a single detector.A widely used technique is the double-helix PSF(DH-PSF),which employs a specialized phase mask at th... Point spread function(PSF)engineering is a promising approach for passive,snapshot 3D imaging with a single detector.A widely used technique is the double-helix PSF(DH-PSF),which employs a specialized phase mask at the pupil plane to modulate incident light,generating rotationally varying PSFs with defocus.By leveraging a precalibrated depth-dependent PSF model,the depth information of the target surface can be recovered from a snapshot measurement.However,existing reconstruction algorithms often lack efficiency and accuracy,primarily due to the block-wise processing of conventional methods or the failure to incorporate physical priors in end-to-end neural networks.To address these limitations,we propose a physics-guided deep unfolding network(PG-DUN)for snapshot 3D imaging with DH-PSFs.By explicitly embedding the imaging model into the deep neural network,our DUN can naturally reconstruct the 2D image and depth map simultaneously,contributing to more accurate and efficient reconstruction than previous approaches.The feasibility and effectiveness of the proposed method are validated through extensive experiments on simulated and real-world data.The proposed method can serve as a prototype for a deep learning-based reconstruction model in similar deconvolution tasks.Its key innovation—an accelerated deconvolutional gradient descent design—functions as a plug-and-play component that enhances the reconstruction accuracy of any deep neural network with negligible added computational cost. 展开更多
关键词 snapshot 3D imaging physics-guided deep unfolding network double-helix point spread function
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Bistatic Synthetic Aperture Radar Point Spread Function Characteristic Analysis 认领 引用 被引量：2
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作者 胡程 曾涛 曾海彬 《Journal of Beijing Institute of Technology》 EI CAS 2007年第2期193-196,共4页
Based on the point spread function （PSF） theory, the side-lobe extension direction of the impulse response in bistatic synthetic aperture radar （BSAR） is analyzed in detail; in addition, the corresponding autofocu... Based on the point spread function （PSF） theory, the side-lobe extension direction of the impulse response in bistatic synthetic aperture radar （BSAR） is analyzed in detail; in addition, the corresponding autofocus in BSAR should be considered along iso-range direction, not the traditional azimuth resolution （AR） direction. The conclusion is verified by the computer simulation. 展开更多
关键词 bistatic synthetic aperture rader （BSAR） point spread function （PSF） range resolution （RR） azimuth resolution （AR） iso-range iso-Doppler
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PET image reconstruction with a system matrix containing point spread function derived from single photon incidence response 认领 引用 被引量：1
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作者 樊馨 王海鹏 +8 位作者 贠明凯 孙校丽 曹学香 刘双全 柴培 李道武 刘宝东 王璐 魏龙 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第1期542-550,共9页
A point spread function（PSF） for the blurring component in positron emission tomography（PET） is studied. The PSF matrix is derived from the single photon incidence response function. A statistical iterative recons... A point spread function（PSF） for the blurring component in positron emission tomography（PET） is studied. The PSF matrix is derived from the single photon incidence response function. A statistical iterative reconstruction（IR） method based on the system matrix containing the PSF is developed. More specifically, the gamma photon incidence upon a crystal array is simulated by Monte Carlo（MC） simulation, and then the single photon incidence response functions are calculated. Subsequently, the single photon incidence response functions are used to compute the coincidence blurring factor according to the physical process of PET coincidence detection. Through weighting the ordinary system matrix response by the coincidence blurring factors, the IR system matrix containing the PSF is finally established. By using this system matrix, the image is reconstructed by an ordered subset expectation maximization（OSEM） algorithm. The experimental results show that the proposed system matrix can substantially improve the image radial resolution, contrast,and noise property. Furthermore, the simulated single gamma-ray incidence response function depends only on the crystal configuration, so the method could be extended to any PET scanner with the same detector crystal configuration. 展开更多
关键词 point spread function single photon incidence system matrix positron emission tomography
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Physics-constrained deep-inverse point spread function model:toward non-line-of-sight imaging reconstruction 认领 引用 被引量：3
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作者 Su Wu Chan Huang +4 位作者 Jing Lin Tao Wang Shanshan Zheng Haisheng Feng Lei Yu 《Advanced Photonics Nexus》 2024年第2期90-99,共10页
Non-line-of-sight(NLOS)imaging has emerged as a prominent technique for reconstructing obscured objects from images that undergo multiple diffuse reflections.This imaging method has garnered significant attention in d... Non-line-of-sight(NLOS)imaging has emerged as a prominent technique for reconstructing obscured objects from images that undergo multiple diffuse reflections.This imaging method has garnered significant attention in diverse domains,including remote sensing,rescue operations,and intelligent driving,due to its wide-ranging potential applications.Nevertheless,accurately modeling the incident light direction,which carries energy and is captured by the detector amidst random diffuse reflection directions,poses a considerable challenge.This challenge hinders the acquisition of precise forward and inverse physical models for NLOS imaging,which are crucial for achieving high-quality reconstructions.In this study,we propose a point spread function(PSF)model for the NLOS imaging system utilizing ray tracing with random angles.Furthermore,we introduce a reconstruction method,termed the physics-constrained inverse network(PCIN),which establishes an accurate PSF model and inverse physical model by leveraging the interplay between PSF constraints and the optimization of a convolutional neural network.The PCIN approach initializes the parameters randomly,guided by the constraints of the forward PSF model,thereby obviating the need for extensive training data sets,as required by traditional deep-learning methods.Through alternating iteration and gradient descent algorithms,we iteratively optimize the diffuse reflection angles in the PSF model and the neural network parameters.The results demonstrate that PCIN achieves efficient data utilization by not necessitating a large number of actual ground data groups.Moreover,the experimental findings confirm that the proposed method effectively restores the hidden object features with high accuracy. 展开更多
关键词 non-line-of-sight imaging point spread function model deep learning
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DiriNet:An Estimation Network for Spectral Response Function and Point Spread Function 认领 引用 被引量：1
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作者 Ting Hu Siyuan Cheng Chang Liu 《Journal of Beijing Institute of Technology》 EI CAS 2024年第4期287-297,共11页
Hyper-and multi-spectral image fusion is an important technology to produce hyper-spectral and hyper-resolution images,which always depends on the spectral response function andthe point spread function.However,few wo... Hyper-and multi-spectral image fusion is an important technology to produce hyper-spectral and hyper-resolution images,which always depends on the spectral response function andthe point spread function.However,few works have been payed on the estimation of the two degra-dation functions.To learn the two functions from image pairs to be fused,we propose a Dirichletnetwork,where both functions are properly constrained.Specifically,the spatial response function isconstrained with positivity,while the Dirichlet distribution along with a total variation is imposedon the point spread function.To the best of our knowledge,the neural network and the Dirichlet regularization are exclusively investigated,for the first time,to estimate the degradation functions.Both image degradation and fusion experiments demonstrate the effectiveness and superiority of theproposed Dirichlet network. 展开更多
关键词 Dirichlet network point spread function spectral response function hyper-spectralimage multi-spectral image
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Point spread function decoupling in computational fluorescence microscopy 认领 引用
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作者 Ziwei Wang Wanyu Gu +6 位作者 Shaolei Xu Yupei Miao Zewei Cai Xiang Peng Xiaoli Liu Liwei Liu Qifeng Yu 《Light: Science & Applications》 SCIE EI CAS CSCD 2026年第1期321-331,共11页
Computational fluorescence microscopy constantly breaks through imaging performance through advanced opticalmodulation technologies;however, conventional theoretical modeling and experimental measurement approachesare... Computational fluorescence microscopy constantly breaks through imaging performance through advanced opticalmodulation technologies;however, conventional theoretical modeling and experimental measurement approachesare challenging to meet the demand for accurate system characterization of diverse modulations. To this end, wepropose a point spread function (PSF) decoupling method that is intrinsically compatible with the optimaldemodulation in computational microscopic imaging modality. The critical core lies in designing a sample prior-basedcomputational imaging strategy, in which a regular fluorescent sample instead of generally used sub-diffractionlimited particles acts as a system modulator to demodulate the system response. PSF consequently can becomputationally optimized through the strong support from the modulated sample prior, achieving accurate nonparametricsystem characterization and thereby avoiding the modeling difficulty and the low signal-to-noise ratiomeasurement errors of the system specificity. Experimental results across various biological tissues demonstrated andverified that the proposed PSF decoupling method enables excellent volumetric imaging comparable to confocalmicroscopy and multicolor, large depth-of-field imaging under aperture modulation. It provides a promisingmechanism of system characterization and computational demodulation for high-contrast and high-resolutionimaging of cellular and subcellular biological structures and life activities. 展开更多
关键词 computational fluorescence microscopy experimental measurement approachesare advanced opticalmodulation technologies conventional theoretical modeling computational microscopic imaging modality accurate system characterization point spread function point spread function decoupling
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A Knife-edge Input Point Spread Function Estimation Method for Document Images 认领 引用
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作者 Jianqiang Zhong 《International Journal of Technology Management》 2016年第3期50-52,共3页
In this paper the progress of document image Point Spread Function （PSF） estimation will be presented. At the beginning of the paper, an overview of PSF estimation methods will be introduced and the reason why knife... In this paper the progress of document image Point Spread Function （PSF） estimation will be presented. At the beginning of the paper, an overview of PSF estimation methods will be introduced and the reason why knife-edge input PSF estimation method is chosen will be explained. Then in the next section, the knife-edge input PSF estimation method will be detailed. After that, a simulation experiment is performed in order to verify the implemented PSF estimation method. Based on the simulation experiment, in next section we propose a procedure that makes automatic PSF estimation possible. A real document image is firstly taken as an example to illustrate the procedure and then be restored with the estimated PSF and Lucy-Richardson deconvolution method, and its OCR accuracy before and after deconvolution will be compared. Finally, we conclude the paper with the outlook for the future work. 展开更多
关键词 Point Spread Function document image Knife-edge Input
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Super-field-of-view non-line-of-sight imaging via spatial encoding of a translated point spread function 认领 引用
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作者 TONGYAO LI YINGJIE SHI +5 位作者 JINYE MIAO YI WEI LINGFENG LIU LIANFA BAI ENLAI GUO JING HAN 《Photonics Research》 SCIE EI CAS CSCD 2026年第5期1959-1972,共14页
Non-line-of-sight(NLOS)imaging aims to reconstruct objects beyond line-of-sight view,offering potential applications in various fields.However,conventional transient NLOS methods are constrained by the detection regio... Non-line-of-sight(NLOS)imaging aims to reconstruct objects beyond line-of-sight view,offering potential applications in various fields.However,conventional transient NLOS methods are constrained by the detection region,preventing the reconstruction of targets outside its normal space and thereby limiting practical applicability.In this paper,a computational imaging method for super-field-of-view(Super-FoV)reconstruction based on spatial encoding of a translated point spread function(PSF)is proposed. 展开更多
关键词 computational imaging method reconstruct objects translated point spread function psf non line sight imaging spatial encoding super field view computational imaging translated point spread function
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Universal point spread function engineering for 3D optical information processing 认领 引用 被引量：2
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作者 Md Sadman Sakib Rahman Aydogan Ozcan 《Light: Science & Applications》 SCIE EI CAS CSCD 2025年第8期2226-2242,共17页
Point spread function(PSF)engineering has been pivotal in the remarkable progress made in high-resolution imaging in the last decades.However,the diversity in PSF structures attainable through existing engineering met... Point spread function(PSF)engineering has been pivotal in the remarkable progress made in high-resolution imaging in the last decades.However,the diversity in PSF structures attainable through existing engineering methods is limited.Here,we report universal PSF engineering,demonstrating a method to synthesize an arbitrary set of spatially varying 3D PSFs between the input and output volumes of a spatially incoherent diffractive processor composed of cascaded transmissive surfaces.We rigorously analyze the PSF engineering capabilities of such diffractive processors within the diffraction limit of light and provide numerical demonstrations of unique imaging capabilities,such as snapshot 3D multispectral imaging without involving any spectral filters,axial scanning or digital reconstruction steps,which is enabled by the spatial and spectral engineering of 3D PSFs.Our framework and analysis would be important for future advancements in computational imaging,sensing,and diffractive processing of 3D optical information. 展开更多
关键词 engineering methods Universal PSF Engineering d psfs Spatially Varying PSFs cascaded transmissive surfaceswe point spread function psf engineering D Optical Information Processing Diffractive Processor
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Point spread function modeling and image restoration for cone-beam CT 认领 引用 被引量：2
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作者 张华 黄魁东 +1 位作者 史仪凯 徐哲 《Chinese Physics C》 SCIE CAS CSCD 2015年第3期101-106,共6页
X-ray cone-beam computed tomography （CT） has such notable features as high efficiency and precision, and is widely used in the fields of medical imaging and industrial non-destructive testing, but the inherent imagi... X-ray cone-beam computed tomography （CT） has such notable features as high efficiency and precision, and is widely used in the fields of medical imaging and industrial non-destructive testing, but the inherent imaging degradation reduces the quality of CT images. Aimed at the problems of projection image degradation and restoration in cone-beam CT, a point spread function （PSF） modeling method is proposed first. The general PSF model of cone- beam CT is established, and based on it, the PSF under arbitrary scanning conditions can be calculated directly for projection image restoration without the additional measurement, which greatly improved the application convenience of cone-beam CT. Secondly, a projection image restoration algorithm based on pre-filtering and pre-segmentation is proposed, which can make the edge contours in projection images and slice images clearer after restoration, and control the noise in the equivalent level to the original images. Finally, the experiments verified the feasibility and effectiveness of the proposed methods. 展开更多
关键词 cone-beam CT point spread function image restoration noise control
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Effects of mask-alignment error on point spread function for multi-level Fresnel diffractive lenses 认领 引用 被引量：3
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作者 Dun Liu Shibin Wu +3 位作者 Wei Yang Lihua Wang Bin Fan and Fan Wu 《Chinese Optics Letters》 SCIE EI CAS CSCD 2018年第9期4-9,共6页
The full aperture complex amplitude transmittance function of a multi-level diffraction lens with mask- alignment errors was derived based on scalar diffraction theory. The point spread function （PSF） was calculated... The full aperture complex amplitude transmittance function of a multi-level diffraction lens with mask- alignment errors was derived based on scalar diffraction theory. The point spread function （PSF） was calculated by the Kirchhoff diffraction integral. It is found that the radius of the Airy disk increases with the increase of the error in the direction of misalignment, and the image center shifts along the direction of misalignment. A fourlevel diffractive lens with a diameter of 80 mm was fabricated, and its PSF and diffraction efficiency of ＋1st order were calculated and measured. The distribution of PSF is consistent with the calculated results, and the tested diffraction efficiency is slightly smaller than the calculated value; the relative error is 5.71%. 展开更多
关键词 PSF Effects of mask-alignment error on point spread function for multi-level Fresnel diffractive lenses
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A phase model for point spread function estimation in ground-based astronomy 认领 引用 被引量：1
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作者 CHAN Raymond Honfu YUAN XiaoMing ZHANG WenXing 《Science China Mathematics》 SCIE EI 2013年第12期2701-2710,共10页
In ground-based astronomy, images of objects in outer space are acquired via ground-based tele- scopes. However, the imaging system is generally interfered by atmospheric turbulence and hence images so acquired are bl... In ground-based astronomy, images of objects in outer space are acquired via ground-based tele- scopes. However, the imaging system is generally interfered by atmospheric turbulence and hence images so acquired are blurred with unknown point spread function （PSF）. To restore the observed images, aberration of the wavefront at the telescope＇s aperture, i.e., the phase, is utilized to derive the PSF. However, the phase is not readily available. Instead, its gradients can be collected by wavefront sensors. Thus the usual approach is to use regularization methods to reconstruct high-resolution phase gradients and then use them to recover the phase in high accuracy. Here, we develop a model that reconstructs the phase directly. The proposed model uses the tight frame regularization and it can be solved efficiently by the Douglas-Rachford alternating direction method of multipliers whose convergence has been well established. Numerical results illustrate that our new model is efficient and gives more accurate estimation for the PSF. 展开更多
关键词 point spread function astronomical imaging phase model tight frame alternating directionmethod of multipliers
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Plasmon point spread functions: How do we model plasmon-mediated emission processes? 认领 引用 被引量：3
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作者 Katherine A. Willets 《Frontiers of physics》 SCIE CSCD 2014年第1期3-16,共14页
A major challenge with studying plasmon-mediated emission events is the small size of plasmonic nanoparticles relative to the wavelength of light. Objects smaller than roughly half the wavelength of light will appear ... A major challenge with studying plasmon-mediated emission events is the small size of plasmonic nanoparticles relative to the wavelength of light. Objects smaller than roughly half the wavelength of light will appear as diffraction-limited spots in far-field optical images, presenting a significant experimental challenge for studying plasmonic processes on the nanoscale. Super-resolution imaging has recently been applied to plasmonic nanosystems and allows plasmon-mediated emission to be resolved on the order of ~5 nm. In super-resolution imaging, a diffraction-limited spot is fit to some model function in order to calculate the position of the emission centroid, which represents the loca- tion of the emitter. However, the accuracy of the centroid position strongly depends on how well the fitting function describes the data. This Perspective discusses the commonly used two-dimensional Gaussian fitting function applied to super-resolution imaging of plasmon-mediated emission, then introduces an alternative model based on dipole point spread flmctions. The two fitting models are compared and contrasted for super-resolution imaging of nanoparticle scattering/luminescence, surface-enhanced Raman scattering, and surface-enhanced fluorescence. 展开更多
关键词 plasmon point spread function dipole super-resolution surface-enhanced Ramanscattering （SERS）
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Resolution enhancement of optical scanning holography with a spiral modulated point spread function 认领 引用 被引量：1
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作者 Ni Chen Zhenbo Ren +1 位作者 Haiyan Ou Edmund Y.Lam 《Photonics Research》 SCIE EI CAS 2016年第1期1-6,共6页
In optical scanning holography, one pupil produces a spherical wave and another produces a plane wave. They interfere with each other and result in a fringe pattern for scanning a three-dimensional object. The resolut... In optical scanning holography, one pupil produces a spherical wave and another produces a plane wave. They interfere with each other and result in a fringe pattern for scanning a three-dimensional object. The resolution of the hologram reconstruction is affected by the point spread function(PSF) of the optical system. In this paper, we modulate the PSF by a spiral phase plate, which significantly enhances the lateral and depth resolution. We explain the theory for such resolution enhancement and show simulation results to verify the efficacy of the approach. 展开更多
关键词 PSF Resolution enhancement of optical scanning holography with a spiral modulated point spread function
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Numerical study of point spread function of a fast neutron radiography system based on scintillating-fiber array 认领 引用 被引量：2
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作者 ZHANG FaQiang LI ZhengHong +5 位作者 YANG JianLun YE Fan WANG Zhen XIA GuangXin YING ChunTong LIU GuangJun 《Science China(Physics,Mechanics & Astronomy)》 CAS 2007年第6期698-706,共9页
For a scintillating-fiber array fast-neutron radiography system,a point-spread-function computing model was introduced,and the simulation code was developed. The results of calculation show that fast-neutron radiograp... For a scintillating-fiber array fast-neutron radiography system,a point-spread-function computing model was introduced,and the simulation code was developed. The results of calculation show that fast-neutron radiographs vary with the size of fast neutron sources,the size of fiber cross-section and the imaging geometry. The results suggest that the following qualifications are helpful for a good point spread function: The cross-section of scintillating fibers not greater than 200 μm×200 μm,the size of neutron source as small as a few millimeters,the distance between the source and the scintillating fiber array greater than 1 m,and inspected samples placed as close as possible to the array. The results give suggestions not only to experiment considerations but also to the estimation of spatial resolution for a specific system. 展开更多
关键词 fast neutron radiography scintillating-fiber array point spread function Monte Carlo simulation
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Analysis of the optical quality by determining the modulation transfer function for anterior corneal surface in myopes 认领 引用 被引量：6
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作者 Yan-Zhen Zheng Yan-Peng Chen +2 位作者 Yan Qiu Guo-Guang Zhai Yao-Yu Li 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2012年第2期196-201,共6页
AIM:To describe the characteristics of modulation transfer function(MTF)of anterior corneal surface,and obtain the the normal reference range of MTF at different spatial frequencies and optical zones of the anterior c... AIM:To describe the characteristics of modulation transfer function(MTF)of anterior corneal surface,and obtain the the normal reference range of MTF at different spatial frequencies and optical zones of the anterior corneal surface in myopes.METHODS:Four hundred eyes from 200 patients were examined under SIRIUS corneal topography system.Phoenis analysis software was applied to simulate the MTF curves of anterior corneal surface at vertical and horizontal meridians at the 3,4,5,6,7mm optical zones of cornea.The MTF values at spatial frequencies of 5,10,15,20,25,30,35,40,45,50,55 and 60 cycles/degree(c/d)were selected.RESULTS:The MTF curve of anterior corneal surface decreased rapidly from low to intermediate frequency(0-15cpd)at various optical zones of cornea,the value decreased to 0 slowly at higher frequency(>15cpd).With the increase of the optical zones of cornea,MTF curve decreased gradually.3)In the range of 3 mm-6 mm optical zones of the cornea,the MTF values measured at horizontal meridian were greater than the corresponding values at horizontal meridian of each spatial frequency,the difference was statistically significant(P<0.05).At 7 mm optical zones of cornea,the MTF values measured at horizontal meridian were less than the corresponding values at vertical meridian at 10-60 spatial frequencies(cpd),and the difference was statistically significant in 25,30,35,40,45,50 cpd(P<0.05).CONCLUSION:MTF can be used to describe the imaging quality of optical systems at anterior corneal surface objectively in detail. 展开更多
关键词 modulation transfer function optical quality cornea point spread function optical transfer function phase transfer function
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微孔垂直内壁暗场显微成像特性分析方法 认领 引用
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作者 由小玉 张云龙 +2 位作者 谷康 崔健炜 刘俭 《应用光学》 CAS 北大核心 2026年第4期910-920,共11页
光学立体显微检测技术因具有非接触性、高精度、三维表征能力、高效性以及对复杂材料的适应性等能力,在微孔测量中呈现出显著优势。暗场显微测量技术是实现微孔内壁三维形貌测量的有效手段,介绍了一种微孔垂直内壁暗场显微成像特性分析... 光学立体显微检测技术因具有非接触性、高精度、三维表征能力、高效性以及对复杂材料的适应性等能力,在微孔测量中呈现出显著优势。暗场显微测量技术是实现微孔内壁三维形貌测量的有效手段,介绍了一种微孔垂直内壁暗场显微成像特性分析方法,聚焦研究成像系统核心评价指标——点扩散函数。首先,通过分析微孔暗场显微成像过程,确定异形光瞳形状与探测深度的对应关系,定义了遮挡孔径点扩散函数,并建立了含几何遮挡效应的点扩散函数计算模型。随后,通过仿真实验分析了探测深径比、成像数值孔径和初级像差对微孔内壁暗场显微成像性能的影响规律,为微孔内壁暗场显微成像系统设计和优化提供了理论指导与技术支撑。最后,通过仿真与实验光斑半高宽(full width at half maximum,FWHM)变化趋势的一致性,进一步验证了理论模型:在相同孔径遮挡条件下,FWHM的扩展趋势高度一致(仿真约2倍,实验约2.1倍),有效证明了模型的正确性。 展开更多
关键词 暗场显微 异形光瞳 遮挡孔径点扩散函数 成像特性
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水体调制传递函数的推导 认领 引用
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作者 何大华 许东阳 方珍 《中国光学（中英文）》 EI CAS CSCD 北大核心 2026年第4期860-866,共7页
水体对光线的多次散射会形成水下光场,水下光场的存在使水下光电成像质量显著恶化。为了对水下光电图像质量退化进行定量分析,需要研究水下光场分布,建立严格的水下图像传输模型。假定水体体散射函数(VSF)为球形对称,首先计算出理想点... 水体对光线的多次散射会形成水下光场,水下光场的存在使水下光电成像质量显著恶化。为了对水下光电图像质量退化进行定量分析,需要研究水下光场分布,建立严格的水下图像传输模型。假定水体体散射函数(VSF)为球形对称,首先计算出理想点光源的水下光场分布,然后通过沿路径的亮度积分得到水体点扩展函数(PSF),最后借助于球谐函数与球面卷积等数学工具推导出球面空间中的水体调制传递函数(MTF)。在已知水体固有光学参数下,给出了水体调制传递函数以及对比度极限因子的图象。该算法模型解决了球形体散射函数条件下的水体调制传递函数推导问题,为解决非球形体散射函数及动态光场条件下水体调制传递函数的推导问题奠定了基础。 展开更多
关键词 水下成像 多次散射 水下光场 衰减长度 点扩展函数 调制传递函数 对比度极限因子
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基于点扩散函数的编码后的高速压缩成像 认领 引用
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作者 程涛 涂鑫 陶晨晨 《兵器装备工程学报》 CAS CSCD 北大核心 2026年第1期321-326,共6页
针对高速相机成像速度不够高和点扩散函数效应导致图像模糊的问题,提出了基于点扩散函数的编码后的高速压缩成像模型。通过磨砂玻璃对点扩散函数效应明显的模糊图像逐帧编码,将编码后的图像帧通过软件或硬件方法逐帧错位叠加,构建与原... 针对高速相机成像速度不够高和点扩散函数效应导致图像模糊的问题,提出了基于点扩散函数的编码后的高速压缩成像模型。通过磨砂玻璃对点扩散函数效应明显的模糊图像逐帧编码,将编码后的图像帧通过软件或硬件方法逐帧错位叠加,构建与原始图像和真图逐列首尾相接后的向量元素位置对应的测量矩阵,通过重构算法实现原始图像的解码重构。实验结果表明,明显的点扩散函数效应不但不会劣化原始图像的重构效果,反而使重构图像更清晰,同时大大改善高速相机的成像速度。 展开更多
关键词 压缩感知 点扩散函数 磨砂玻璃 高速摄影 测量矩阵
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A differential Lucy-Richardson-Rosen Algorithm for near-diffractionlimited image restoration guided by wavefront sensing 认领 引用
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作者 Lianhui Zheng Zhongjian Gao 《Astronomical Techniques and Instruments》 CSCD 2026年第3期250-259,共10页
The Lucy-Richardson-Rosen Algorithm is widely used for image restoration,but suffers from slow convergence or failure when analyzing images with severe optical aberrations and high noise.To address these limitations,w... The Lucy-Richardson-Rosen Algorithm is widely used for image restoration,but suffers from slow convergence or failure when analyzing images with severe optical aberrations and high noise.To address these limitations,we propose the Differential Lucy-Richardson-Rosen Algorithm which enhances both robustness and convergence speed.By integrating a Hartmann-Shack wavefront sensor into the imaging system,our proposed algorithm directly measures wavefront distortions to accurately estimate the spatially varying point spread function,enabling high-fidelity non-blind deconvolution,even for images acquired by ground-based telescopes,with significant optical imperfections.Extensive simulations and experiments demonstrate that our proposed algorithm outperforms its predecessor in image quality and computational efficiency under challenging aberration and noise conditions.Its rapid and stable performance makes it particularly suitable for real-time or near-real-time astronomical imaging,where reliable,high-resolution recovery is critical.This work advances computational imaging for next-generation astronomical instrumentation through a tightly coupled hardware-algorithm framework. 展开更多
关键词 Image restoration Lucy-Richardson-Rosen Algorithm Wavefront sensing Point Spread Function estimation Astronomical instrumentation
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