Point spread function, deconvolutionSeeing, adaptive optics, speckleinterferometryWe present a method for retrieving the wavefront phase and estimating the point spread function using data from a single imaging channel. The method involves a set of short exposures and its speckle reconstruction of the ...
If the point spread function is known, the restoration technique used is called a nonblind deconvolution method. In the 1970s, Richardson and Lucy derived this method from Bayes' theorem. This algorithm became popular in the fields of medical imaging and astronomy. This algorithm is so popular ...
S. (2002). Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution. Remote Sensing of Environment, 80(2), 203 - 212.Huang Chengquan,,Townshend J R G,Liang S, et al.Impact of sensor‘s point spread function on land cover characterization:...
point spread function 美 英 un.〔计〕点分布函数;点扩展散函数 网络点扩散函数 英汉 网络释义 un. 1. 〔计〕点分布函数 2. 点扩展散函数 例句 更多例句筛选
To remove the axial sidelobes from 4Pi images, deconvolution forms an integral part of 4Pi microscopy. As a result of its high axial resolution, the 4Pi point spread function (PSF) is particularly susceptible to imperfect optical conditions within the sample. This is typically observed as a ...
The iterative deconvolution algorithm recovers Fourier interpolated results for the equivalent 25 m filled aperture without requiring independent observations of a point-like reference source. 展开 关键词: Calibration Point spread functions Deconvolution Holography Speckle Atmospheric modeling Imaging systems ...
Laboratory experiments and simulation tests, conducted with models of an inductive loop, confirmed the effectiveness of the proposed solution. In this case, the principle applies that the higher the level of sensor spatial asymmetry, the greater the effectiveness of the deconvolution algorithm. 展开 ...
The 2-D blind deconvolution problem is to reconstruct an image having known finite spatial extent from its 2-D convolution with an also-unknown point-spread function. This is significantly more difficult than the typical image restoration problem of deconvolving a known blurring function. Many meth...
Following \(\tilde W_1\left( {\mathbf{k}} \right)\) optimization, another deconvolution function \(\tilde W_2\left( {\mathbf{k}} \right)\) based on \(\tilde H_{{\mathrm{Theoretical}}}\left( {\mathbf{k}} \right)\) is developed to recover the high-frequency signals suppressed ...
The point spread function (PSF) plays a fundamental role in fluorescence microscopy. A realistic and accurately calculated PSF model can significantly improve the performance in 3D deconvolution microscopy and also the localization accuracy in single-molecule microscopy. In this work, we propose a fast...