A Signal Processing and Randomization Perspective of Robust and Secure Image Hashing

Authors:
Min Wu;Yinian Mao;Ashwin Swaminathan
Affiliations:
ECE Department, University of Maryland, College Park, USA. minwu@eng.umd.edu;ECE Department, University of Maryland, College Park, USA;ECE Department, University of Maryland, College Park, USA
Venue:
SSP '07 Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing
Year:
2007

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Abstract

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.