Localized image watermarking based on feature points of scale-space representation

This paper proposes a novel method for content-based watermarking based on feature points of an image. At each feature point, the watermark is embedded after scale normalization according to the local characteristic scale. Characteristic scale is the maximum scale of the scale-space representation of an image at the feature point. By binding watermarking with the local characteristics of an image, resilience against affine transformations can be obtained easily. Experimental results show that the proposed method is robust against various image processing steps including affine transformations, cropping, filtering and JPEG compression. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2004-07
Language
ENG
Keywords

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Citation

PATTERN RECOGNITION, v.37, no.7, pp.1365 - 1375

ISSN
0031-3203
DOI
10.1016/j.patcog.2003.12.013
URI
http://hdl.handle.net/10203/84656
Appears in Collection
EE-Journal Papers(저널논문)
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