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Proceedings Paper

Parallel image and video self-recovery scheme with high recovery capability
Author(s): Javier Molina-Garcia; Volodymyr I. Ponomaryov; Rogelio Reyes-Reyes; Clara Cruz-Ramos
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Paper Abstract

In this paper, a parallel scheme for self-recovery of tampered images and videos is proposed. Designed technique is based on two methods for generating the digest image: halftoning and a block based scheme, additionally, the implementation of an authentication algorithm was carried out using a block-based method. In order to obtain robustness to the tampering coincidence problem, the proposed scheme embeds multiple versions of the recovery watermark. Finally, during the recovery process, an algorithm of inverse halftoning was applied to improve the quality of the reconstructed image. Proposed scheme was implemented in such a way that each process should be highly parallelizable using GPU, multicore processors. Experimental results have shown that novel framework generates a good quality of the watermarked images and the recovered images. The simulation results using parallel architectures have demonstrated the efficiency of the novel technique when it is implemented in a real-time environment.

Paper Details

Date Published: 14 May 2019
PDF: 15 pages
Proc. SPIE 10996, Real-Time Image Processing and Deep Learning 2019, 109960E (14 May 2019); doi: 10.1117/12.2518450
Show Author Affiliations
Javier Molina-Garcia, Instituto Politécnico Nacional (Mexico)
Volodymyr I. Ponomaryov, Instituto Politécnico Nacional (Mexico)
Rogelio Reyes-Reyes, Instituto Politécnico Nacional (Mexico)
Clara Cruz-Ramos, Instituto Politécnico Nacional (Mexico)

Published in SPIE Proceedings Vol. 10996:
Real-Time Image Processing and Deep Learning 2019
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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