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Implementation of Digital Watermarking Algorithms in Parallel Hardware Accelerators

机译:并行硬件加速器中数字水印算法的实现

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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.
机译:本文的重点是针对混合多处理器环境的计算加速。在各种场景中实现并测试了一种用于数字图像和视频序列的经过考虑的内容认证算法。认证系统的特别目标是能够实时处理高分辨率数字图像或FullHD视频序列。这项工作的目的是探索和利用CPU和GPU的混合处理方法,并研究开发最佳身份验证算法的可能性。选择算法基于健壮的哈希值和半脆弱的数字水印。并行化是通过结合使用OpenCL和OpenMP实现的。测量图像和视频的时间执行结果。根据收集的结果,计算出加速速率以及视频处理的每秒最大帧值。可以得出结论,通过优化利用资源,并行性在减少计算时间方面做出了巨大贡献。根据测试方案的不同,加速速度甚至比单核解决方案还高三十倍。引入的修改减少了执行时间,同时保持了检测效率。

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