Parallel image and video self-recovery scheme with high recovery capability

Javier Molina-Garcia; Volodymyr I. Ponomaryov; Rogelio Reyes-Reyes; Clara Cruz-Ramos

doi:10.1117/12.2518450

14 May 2019 Parallel image and video self-recovery scheme with high recovery capability

Javier Molina-Garcia, Volodymyr I. Ponomaryov, Rogelio Reyes-Reyes, Clara Cruz-Ramos

Proceedings Volume 10996, Real-Time Image Processing and Deep Learning 2019; 109960E (2019) https://doi.org/10.1117/12.2518450
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Conference Presentation

Citation Download Citation

Javier Molina-Garcia, Volodymyr I. Ponomaryov, Rogelio Reyes-Reyes, and Clara Cruz-Ramos "Parallel image and video self-recovery scheme with high recovery capability", Proc. SPIE 10996, Real-Time Image Processing and Deep Learning 2019, 109960E (14 May 2019); https://doi.org/10.1117/12.2518450

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