Defocused and blurred image recovery techniques

Authors: Konstandoglo A.V.
Published in issue: #5(46)/2020
DOI: 10.18698/2541-8009-2020-5-612
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: image recovery, defocusing, motion blur, point scattering function, Wiener filter, Tikhonov regularization method, Lucy-Richardson deconvolution, blind deconvolution
Published: 30.05.2020

The paper presents a review and analysis of common methods for recovering distorted images. The methods of inverse filtration, Wiener, Tikhonov, Lucy - Richardson filtration, blind deconvolution are analyzed. A simulation was performed of the restoration of artificially uniformly blurred and noisy images in the MATLAB environment using the described algorithms. It is shown that the main difficulty is the search for distortion parameters. For special cases, there are methods for a quick assessment of these parameters, but in the general case this problem is nontrivial. An iterative pyramidal approach to finding distortion parameters is considered as a solution. Based on the results of the analysis, the main limitations of recovery methods are identified.

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