Performance Analysis of a Block-Neighborhood-Based Self-Recovery Fragile Watermarking Scheme

Authors:
Hongjie He;Fan Chen;Heng-Ming Tai;Ton Kalker;Jiashu Zhang
Affiliations:
Sichuan Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China;Sichuan Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China;Department of Electrical Engineering, University of Tulsa, Tulsa, OK, USA;Multimedia Communications & Networking Laboratory, Hewlett-Packard Laboratories, Palo Alto, CA, USA;Sichuan Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China
Venue:
IEEE Transactions on Information Forensics and Security - Part 2
Year:
2012

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Self-embedding fragile watermarking scheme combined average with VQ encoding

IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking

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Abstract

In this paper, we present the performance analysis of a self-recovery fragile watermarking scheme using block-neighborhood tamper characterization. This method uses a pseudorandom sequence to generate the nonlinear block-mapping and employs an optimized neighborhood characterization method to detect the tampering. Performance of the proposed method and its resistance to malicious attacks are analyzed. We also investigate three optimization strategies that will further improve the quality of tamper localization and recovery. Simulation results demonstrate that the proposed method allows image recovery with an acceptable visual quality $(\hbox{peak signal-to-noise ratio (PSNR)}\approx 25\ \hbox{dB})$ up to 60% tampering.