Image deblurring in video stream based on two-level image model

Arseniy Mukovozov; Dmitry Nikolaev; Elena Limonova

doi:10.1117/12.2268744

17 March 2017 Image deblurring in video stream based on two-level image model

Arseniy Mukovozov, Dmitry Nikolaev, Elena Limonova

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034113 (2017) https://doi.org/10.1117/12.2268744
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Arseniy Mukovozov, Dmitry Nikolaev, and Elena Limonova "Image deblurring in video stream based on two-level image model", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034113 (17 March 2017); https://doi.org/10.1117/12.2268744

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