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This article is cited in 2 scientific papers (total 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
Citation:
A. V. Kozak, B. Ya. Steinberg, O. B. Shteinberg, “Fast restoration of a blurred image obtained by a horizontally rotating camera”, Computer Optics, 42:6 (2018), 1046–1053
Linking options:
https://www.mathnet.ru/eng/co590 https://www.mathnet.ru/eng/co/v42/i6/p1046
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