Video block error recovery using modified patch-based inpainting

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

doi:10.1117/12.2522808

15 March 2019 Video block error recovery using modified patch-based inpainting

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

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110410D (2019) https://doi.org/10.1117/12.2522808
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

Nikolay Gapon, Viacheslav Voronin, Roman Sizyakin, Marina Pismenskova, and Alexey Nadykto "Video block error recovery using modified patch-based inpainting", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410D (15 March 2019); https://doi.org/10.1117/12.2522808

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available