Visual attention-based watermarking

Matthew Oakes, Deepayan Bhowmik, Charith Abhayaratne

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

7 Citations (Scopus)

Abstract

A region of interest dictates the most important visible aspects of an image, so distortion within these areas will be highly noticeable to any viewer. The visual attention model computes such regions in an image. In this paper, we present wavelet domain computation of the visual attention model and its applicability in wavelet-based watermarking. The proposed algorithm can embed more information into visually uninteresting areas within the host image, determined by the visual attention model. This algorithm has increased robustness to various natural image processing and filtering attacks, while minimum effect on the image quality as verified by both subjective and objective evaluations. Such an approach can be adopted into many multimedia forensic applications to aid the watermarking process.

Original languageEnglish
Title of host publication2011 IEEE International Symposium on Circuits and Systems (ISCAS)
Pages2653-2656
Number of pages4
ISBN (Electronic)978-1-4244-9472-9
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Symposium on Circuits and Systems - Rio de Janeiro, Brazil
Duration: 15 May 201118 May 2011

Conference

Conference2011 IEEE International Symposium on Circuits and Systems
Abbreviated title2011 ISCAS
CountryBrazil
CityRio de Janeiro
Period15/05/1118/05/11

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