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GPU, CUDA, image authentication, semi-fragile watermarking
There has been large amounts of research on image authentication method. Many of the schemes perform well in verification results; however, most of them are time-consuming in traditional serial manners. And improving the efficiency of authentication process has become one of the challenges in image authentication field today. In the future, it’s a trend that authentication system with the properties of high performance, real-time, flexible and ease for development. In this paper, we present a CUDA-based implementation of an image authentication algorithm with NVIDIA’s Tesla C1060 GPU devices. Comparing with the original implementation on CPU, our CUDA-based implementation works 20x-50x faster with single GPU device. And experiment shows that, by using two GPUs, the performance gains can be further improved around 1.2 times in contras to single GPU.
Caiwei Lin, Lei Zhao, Jiwen Yang,"A High Performance Image Authentication Algorithm on GPU with CUDA", International Journal of Intelligent Systems and Applications(IJISA), vol.3, no.2, pp.52-59, 2011. DOI: 10.5815/ijisa.2011.02.08
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