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Implementation of Digital Watermarking Algorithms in Parallel Hardware Accelerators

Research paper by Andrzej Głowacz, Marcin Pietroń

Indexed on: 09 Nov '16Published on: 21 Oct '16Published in: International Journal of Parallel Programming



Abstract

Abstract The paper is focused on computing acceleration for hybrid multiprocessor environment. A considered algorithm of content authentication used for digital images and video sequences is implemented and tested in diverse scenarios. Particular goal is capability of the authentication system to process high-resolution digital images or FullHD video sequences in real time. Aim of this work was to explore and take advantage of mixed CPU and GPU processing approach and to investigate possibilities to develop optimal authentication algorithm. Chosen algorithm is based on robust hashes and semi-fragile digital watermarking. Parallelization was achieved using combined OpenCL and OpenMP. Results for time execution were measured for both images and videos. Based on collected results acceleration rates were calculated along with maximum frames per second values for video processing. It can be concluded that parallelism contributes significantly in reducing the computation time by making optimal use of resources. Depending on the test scenario, the rate of acceleration is even thirty times higher comparing with single-core solutions. Introduced modifications reduce execution time while maintaining detection effectiveness.AbstractThe paper is focused on computing acceleration for hybrid multiprocessor environment. A considered algorithm of content authentication used for digital images and video sequences is implemented and tested in diverse scenarios. Particular goal is capability of the authentication system to process high-resolution digital images or FullHD video sequences in real time. Aim of this work was to explore and take advantage of mixed CPU and GPU processing approach and to investigate possibilities to develop optimal authentication algorithm. Chosen algorithm is based on robust hashes and semi-fragile digital watermarking. Parallelization was achieved using combined OpenCL and OpenMP. Results for time execution were measured for both images and videos. Based on collected results acceleration rates were calculated along with maximum frames per second values for video processing. It can be concluded that parallelism contributes significantly in reducing the computation time by making optimal use of resources. Depending on the test scenario, the rate of acceleration is even thirty times higher comparing with single-core solutions. Introduced modifications reduce execution time while maintaining detection effectiveness.