Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/100289
Title: Forensic data hiding optimized for JPEG 2000
Authors: Bardyn, Dieter
Briffa, Johann A.
Dooms, Ann
Schelkens, Peter
Keywords: JPEG (Image coding standard)
Watermarks
Coding theory
Error-correcting codes (Information theory)
Issue Date: 2011
Publisher: IEEE
Citation: Bardyn, D., Briffa, J. A., Dooms, A., & Schelkens, P. (2011, May). Forensic data hiding optimized for JPEG 2000. In 2011 IEEE International Symposium of Circuits and Systems (ISCAS), Rio de Janeiro, Brazil. 2657-2660.
Abstract: This paper presents a novel image adaptive data hiding system using properties of the discrete wavelet transform and which is ready to use in combination with JPEG 2000. Image adaptive watermarking schemes determine the embedding samples and strength from the image statistics. We propose to use the energy of wavelet coefficients at high frequencies to measure the amount of distortion that can be tolerated by a lower frequency coefficient. The watermark decoder in image adaptive data hiding needs to estimate the same parameters used for encoding from a modified source and hence is vulnerable to desynchronization. We present a novel way to resolve these synchronization issues by employing specialized insertion, deletion and substitution codes. Given the low complexity and reduced perceptual impact of the embedding technique, it is suitable for inserting camera and/or projector information to facilitate image forensics.
URI: https://www.um.edu.mt/library/oar/handle/123456789/100289
Appears in Collections:Scholarly Works - FacICTCCE

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