Approach to blind image deconvolution by multiscale subband decomposition and independent component analysis

2007 ◽  
Vol 24 (4) ◽  
pp. 973 ◽  
Author(s):  
Ivica Kopriva
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Image Deconvolution ◽  
Subband Decomposition ◽  
Blind Image Deconvolution ◽  
Blind Image

scholarly journals Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis

Computation ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 76
Author(s):  
Simone Fiori
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Image Deblurring ◽  
Independent Component ◽  
Gradient Algorithm ◽  
Gabor Filtering ◽  
Original Technique ◽  
Blind Image Deblurring ◽  
Blurred Image ◽  
Blind Image

The aim of the present paper is to improve an existing blind image deblurring algorithm, based on an independent component learning paradigm, by manifold calculus. The original technique is based on an independent component analysis algorithm applied to a set of pseudo-images obtained by Gabor-filtering a blurred image and is based on an adapt-and-project paradigm. A comparison between the original technique and the improved method shows that independent component learning on the unit hypersphere by a Riemannian-gradient algorithm outperforms the adapt-and-project strategy. A comprehensive set of numerical tests evidenced the strengths and weaknesses of the discussed deblurring technique.

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