A Grayscale Image Vulnerability Authentication System Based on Compressed Sensing

Abstract:

In this paper, we study compressed sensing algorithm and image authentication algorithm, present a grayscale image vulnerability authentication system based on compressed sensing. The system extracts the original grayscale image edge information by prewitt algorithm and observes the edge information by compressed sensing algorithm of OMP to generate the observation matrix . Then, the system scrambles the observation matrix by arnold transform algorithm and embeds it into the original grayscale image by singular value decomposition algorithm. We make experiment in order to test the system. The result is shown that the algorithm has good imperceptibility and can resist copying attack.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 533-537
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.533
• Online since: March 2015
• Authors: Xu Zhan*, Yue Rong Lei, Hui Ming Zeng, Jian Ling Chen
• Keywords: Arnold Transform, OMP, Prewitt Algorithm

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