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

Roman Sizyakin; Viacheslav Voronin; Nikolay Gapon; Marina Pismenskova; Alexey Nadykto

doi:10.1117/12.2522807

15 March 2019 A blotch detection method for archive video restoration using a neural network

Roman Sizyakin , Viacheslav Voronin, Nikolay Gapon , Marina Pismenskova , Alexey Nadykto

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110410W (2019) https://doi.org/10.1117/12.2522807
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

Roman Sizyakin , Viacheslav Voronin, Nikolay Gapon , Marina Pismenskova , and Alexey Nadykto "A blotch detection method for archive video restoration using a neural network", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410W (15 March 2019); https://doi.org/10.1117/12.2522807

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