A Signal Processing and Randomization Perspective of Robust and Secure Image Hashing
Min Hua Wu, Yinian Mao, Ashwin Deepak Swaminathan · 2007 IEEE/SP 14th Workshop on Statistical Signal Processing · 2007
An image hash is a content-based compact representation of an image and finds applications in image authentication, watermarking, and image similarity comparison. This paper reviews representative approaches developed by the research community in constructing robust and secure image hash. A unified framework and case studies on representative image hash schemes are presented to demonstrate important roles of signal processing and controlled randomization in constructing and evaluating robust and secure hashing for visual data.