Design And Implementation Of Image Authentication On CUDA Platform

Digital images are widely used in our life, and image authentication is becoming moreand more important. After years of research, researchers proposed many effiective image au-thentication algorithms, but there are still many challenges in this field. This paper presentsa new acceleration scheme for image authentication using CUDA, and the main researchworks are as follows:Firstly, the paper discusses the main image authentication method nowadays. Manyuseful concepts, such as signal transformation and HVS, are employed to improve the per-formance. Thus parallelizing these processes with CUDA will accelerate the performanceof the algorithm considerably.Secondly, the paper proposes a CUDA-based implementation of an image authentica-tion algorithm with GPU devices. The algorithm parallelizes the process of block-wise DCTand watermarking embedding. Experimental results show that the CUDA-based methodgains a good performance both in authentication results and operation speedup.Thirdly, a DWT-based image authentication algorithm and its parallel scheme are pre-sented, using sparse matrix multiplication strategy for the Haar wavelet transformation andimprove the efficiency of the process of image authentication.Finally, a basic framework for image authentication system is presented. Hybrid CPU-GPU platforms and multi-GPU are employed in the system.This paper applies CUDA platform to the field of image authentication and makes theprocess of image authentication more effiectively. The schemes provide new ideas to accel-eration of image processing, and have certain practical significance.