Robust Image Perceptual Hashing Technology Based on Discrete Cosine Transform
Wang A-chuan, Haitao Chen · Zhongguo anquan kexue xuebao · 2009
Current methods about perceptual hashing were researched and the defects of them were analyzed.Principles and characters of discrete cosine transform,Watson visual model and chaotic model were introduced in detail.A new method about perceptual image hashing which combined the characteristics of the three models was designed.This method used discrete cosine transform to feature extraction from image,eigenvector was handled by contrast sensitivity table,Logistic equation was used as chaos sequence generator to encrypt and prediction differential method was used to quantization coding.Experimental results indicated that the method could resist the content-preserving modifications.The method possessed strong robustness,safety and retrieval ability,and the collision rate decreases to level.Therefore,the method could be used to image authentication,copyright protection,image security and content-based image retrieval and so on.