Blind deconvolution - Open Access .click

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New algorithms for sparse multichannel blind deconvolution [PDF]

, 2022
Kenji Nose-Filho +4 more
openalex +1 more source

Image Deblurring and Effect of Wiener, Regularized, Lucky-Richardson, Blind-Deconvolution, Average and Median Filters on Blurred Image and Noisy Image

Tikrit Journal of Engineering Sciences, 2014
In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly.
Shayma Wail Nourildean Mohammed Ismaeel Khalil
doaj

Complete Blind Subspace Deconvolution [PDF]

, 2009
In this paper we address the blind subspace deconvolution (BSSD) problem; an extension of both the blind source deconvolution (BSD) and the independent subspace analysis (ISA) tasks. While previous works have been focused on the undercomplete case, here we extend the theory to complete systems.
openaire +2 more sources

Neural blind deconvolution to reconstruct high-resolution ground-based solar observations

Astronomy & Astrophysics
Context. Ground-based solar observations enable unprecedented spatial, spectral, and temporal resolution of the lower solar atmosphere, yet Earth’s turbulent atmosphere imposes significant limitations, requiring advanced post facto image reconstruction ...
Schirninger C. +4 more
doaj +1 more source

Blind Deconvolution Based on Compressed Sensing with bi-l₀-l₂-norm Regularization in Light Microscopy Image. [PDF]