A Robust and Discriminative Image Perceptual Hash Algorithm
Wen Zhen-kun, Zhu Wei-zong, Ouyang Jie, Liu Peng-fei, Du Yi-hua, Meng Zhang, Gao Jin-hua · 2010
Image perceptual hashing find applications in content indexing, large-scale image database management, certification and authentication and digital watermarking. We propose a Block-DCT and PCA based image perceptual hash in this article and explore the algorithm in the application of tamper detection. The main idea of the algorithm is to integrate color histogram and DCT coefficients of image blocks as perceptual feature, then to compress perceptual features as inter-feature with PCA, and to threshold to create a robust hash. The robustness and discrimination properties of the proposed algorithm are evaluated in detail. Experimental results show that the proposed image perceptual hash algorithm can effectively address the tamper detection problem with advantageous robustness and discrimination.