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Proceedings Paper

A blotch detection method for archive video restoration using a neural network
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Paper Abstract

Due to an impressive progress in digital imaging reached over past decades, the importance of analog video systems as primary instruments of receiving, transmitting and storing data has been greatly reduced. However, there still exist large amount of data stored in analog formats on media affected by aging. In this paper, a new three-stage method for detecting and restoring blotches on a video sequence has been developed. The new method including the motion compensation, LBP calculations and data classification using the neural network is shown to have higher efficiency than commonly used ROD, SROD and SDI methods.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410W (15 March 2019); doi: 10.1117/12.2522807
Show Author Affiliations
Roman Sizyakin , Don State Technical Univ. (Russian Federation)
Viacheslav Voronin, Don State Technical Univ. (Russian Federation)
Nikolay Gapon , 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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