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Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization and Edge Detection.

By T. Basaruddin and Rahmatri Mardiko

Abstract

Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization andEdge Detection. The use of singular value decomposition (SVD) in watermarking area has been developed by manyresearchers. In this paper, we describe our evaluation result against an SVD based watermarking scheme with Ditherquantization and edge detection proposed by Mohan et al. As an evaluation benchmark, we use StirMark to producemodified images by various image attacks. The extracted watermarks from these images were compared with theoriginal watermark by calculating its bit correlation ratio (BCR). The result shows that the scheme is robust againstJPEG compression, rotation, scaling, and PSNR attack. The scheme is also quite robust to some extents against removelineattack and cropping

Topics: digital image watermarking, singular value decomposition, stirmark benchmark, LCC:Chemistry, LCC:QD1-999, LCC:Science, LCC:Q, DOAJ:Chemistry (General), DOAJ:Chemistry, LCC:Biology (General), LCC:QH301-705.5, LCC:Science, LCC:Q, DOAJ:Biology, DOAJ:Biology and Life Sciences
Publisher: Universitas Indonesia
Year: 2010
OAI identifier: oai:doaj.org/article:f5e84e6ebcee4b5482f69070bf90eb1e
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