An effective variational model for simultaneous reconstruction and segmentation of blurred images
Journal of Algorithms & Computational Technology, 2016 The segmentation of blurred images is of great importance. There have been several recent pieces of work to tackle this problem and to link the areas of image segmentation and image deconvolution in the case where the blur function κ is known or of known
Bryan M Williams +4 more
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Convolutional dictionary learning for blind deconvolution of optical coherence tomography images. [PDF]
Biomed Opt Express, 2022 Wang J, Wohlberg B, Adamson RBA.
europepmc +1 more source
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs. [PDF]
J Am Stat Assoc, 2023 Chen Y, Fan J, Wang B, Yan Y.
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Blind Deconvolution in Nonminimum Phase Systems Using Cascade Structure
EURASIP Journal on Advances in Signal Processing, 2007 We introduce a novel cascade demixing structure for multichannel blind deconvolution in nonminimum phase systems. To simplify the learning process, we decompose the demixing model into a causal finite impulse response (FIR) filter and an anticausal ...
Xia Bin, Zhang Liqing
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Studies on weighted shift and add and iterative blind deconvolution toward high resolution IR imaging [PDF]
, 1995 文明 圓谷
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Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. [PDF]
Automatica (Oxf), 2023 Yao M, Luczak SE, Rosen IG.
europepmc +1 more source
Blind Deconvolution of 3D Fluorescence Microscopy using Depth-variant Asymmetric PSF [PDF]
, 2016 甫映 金
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, 1988 Considering a signal X which is a process of random variables identically independently distributed, and the signal Y obtained by filtering X through a linear system s, we study the estimation of s from the observation of Y in the following semi-parametric situation : the law of X is unknown and non Gaussian, and s has an inverse of convolution with ...
openaire +1 more source
Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. [PDF]
PLoS One, 2021 Campos-Delgado DU +6 more
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Blind single-frame deconvolution by tangential iterative projections\n (TIP) [PDF]
, 2018 Dean Wilding +5 more
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