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Video block error recovery using modified patch-based inpainting
Author(s): Nikolay Gapon; Viacheslav Voronin; Roman Sizyakin; Marina Pismenskova; Alexey Nadykto
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Paper Abstract

This paper presents a patch-based inpainting algorithm for image block recovery in block-based coding image transmission. The algorithm is based on a geometric model for patch synthesis. The lost pixels are recovered by copying pixel values from the source using a similarity criterion. We used a trained neural network to choose the “best similar” patch. Experimental results show that the proposed method outperforms widely used state-of-the-art methods in both subjective and objective measurements of image block recovery.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410D (15 March 2019); doi: 10.1117/12.2522808
Show Author Affiliations
Nikolay Gapon, Don State Technical Univ. (Russian Federation)
Viacheslav Voronin, Don State Technical Univ. (Russian Federation)
Roman Sizyakin, Don State Technical Univ. (Russian Federation)
Marina Pismenskova, Moscow State Univ. of Technology (Russian Federation)
Alexey Nadykto, Moscow State Univ. of Technology (Russian Federation)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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