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Proceedings Paper

Image deblurring in video stream based on two-level image model
Author(s): Arseniy Mukovozov; Dmitry Nikolaev; Elena Limonova
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Paper Abstract

An iterative algorithm is proposed for blind multi-image deblurring of binary images. The binarity is the only prior restriction imposed on the image. Image formation model assumes convolution with arbitrary kernel and addition of a constant value. Penalty functional is composed using binarity constraint for regularization. The algorithm estimates the original image and distortion parameters by alternate reduction of two parts of this functional. Experimental results for natural (non-synthetic) data are present.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034113 (17 March 2017); doi: 10.1117/12.2268744
Show Author Affiliations
Arseniy Mukovozov, National Univ. of Science and Technology "MISiS" (Russian Federation)
Dmitry Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Elena Limonova, Moscow Institute of Physics and Technology (Russian Federation)

Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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