Results 21 to 30 of about 25,862 (211)
Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method [PDF]
, 2012 For blind deconvolution of an unknown sparse sequence convolved with an unknown pulse, a powerful Bayesian method employs the Gibbs sampler in combination with a Bernoulli–Gaussian prior modeling sparsity.
Dobigeon, Nicolas +3 more
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Source Quantitative Identification by Reference-Based Cubic Blind Deconvolution Algorithm
Chinese Journal of Mechanical Engineering, 2023 The semi-blind deconvolution algorithm improves the separation accuracy by introducing reference information. However, the separation performance depends largely on the construction of reference signals.
Xin Luo +3 more
doaj +1 more source
Entropy, 2022 In a blind adaptive deconvolution problem, the convolutional noise observed at the output of the deconvolution process, in addition to the required source signal, is—according to the literature—assumed to be a Gaussian process when the deconvolution ...
Monika Pinchas
doaj +1 more source
IEEE Photonics Journal, 2020 Image quality is degraded in the out-of-focus region because of the depth-variant (DV) point spread function (DV-PSF) of a fluorescence microscope. Either non-blind or blind deconvolution for restoration results in limited improvement.
Da He +4 more
doaj +1 more source
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images [PDF]
, 2015 In this article, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin.
Cetin, A. Enis +2 more
core +1 more source
Linear Reconstruction Methods for Large Thick Aperture Imaging
MATEC Web of Conferences, 2018 Large thick aperture imaging method is proposed to measure the radiation intensity distribution of radiation source whose size is several centimetres. The new method contains two steps which are coded imaging and image reconstruction.
Yao Zhiming +6 more
doaj +1 more source
Blind Deconvolution Using Convex Programming [PDF]
IEEE Transactions on Information Theory, 2014 40 pages, 8 ...
Ahmed, Ali +2 more
openaire +2 more sources
Blurred Image Restoration with Unknown Point Spread Function
Al-Mustansiriyah Journal of Science, 2018 Blurring image caused by a number of factors such as de focus, motion, and limited sensor resolution. Most of existing blind deconvolution research concentrates at recovering a single blurring kernel for the entire image.
ghada sabah karam
doaj +1 more source
Blind Deconvolution of Seismic Data Using f-Divergences
Entropy, 2011 This paper proposes a new approach to the seismic blind deconvolution problem in the case of band-limited seismic data characterized by low dominant frequency and short data records, based on Csiszár’s f-divergence.
Bing Zhang, Jing-Huai Gao
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Zernike integrated partial phase error reduction algorithm
Results in Optics, 2021 A modification to the error reduction algorithm is reported in this paper for determining the prescription of an imaging system in terms of Zernike polynomials.
Stephen C. Cain
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