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JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 6, Pages 1046–1053 (Mi co590)

This article is cited in 2 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Fast restoration of a blurred image obtained by a horizontally rotating camera

A. V. Kozak, B. Ya. Steinberg, O. B. Shteinberg

Southern Federal University, Rostov-on-Don, Russia

Abstract: A problem of restoration of a blurred image obtained by a horizontally rotating camera is considered in this paper. The mathematical model of this problem is the convolution equation on a cyclic group. In the previous papers of the authors, the case of a non-singular equation was considered. The general case that admits the degeneracy of the convolution equation is considered in this paper. An algorithm is developed based on which a fast program for recovering blurred images is written. The complexity of the algorithm presented in this paper for the degenerate convolution equation is the same as for the non-singular case. The analysis of calculation errors affecting the image quality is given. The influence of the errors of the algorithm's initial data for a degenerate equation is not higher than for a non-singular case.

Keywords: optical devices, image processing, machine vision, blurred image, computation errors, convolution.

Received: 15.03.2018
Accepted: 20.10.2018

DOI: 10.18287/2412-6179-2018-42-6-1046-1053



© Steklov Math. Inst. of RAS, 2024