2006 IEEE International Conference on Multimedia and Expo 2006
DOI: 10.1109/icme.2006.262849
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An Innovative Pixel Scoring Method for Watermarking of Binary Document Images

Abstract: In order to embed a watermark into a binary document image, some subset of image pixels needs to be modified. This modification will cause a document image distortion. Careful selection of image pixels can make distortion appear less visible. We propose a new binary document image pixel scoring method, the Structural Distortion Measure, whose objective is to identify image pixels whose modification, as part of a watermark embedding process, will minimize document image visible distortion.

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Cited by 3 publications
(2 citation statements)
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“…It is very challenging to undetectably embed information into a binary image. In recent years, with the development of binary images watermarking, there were a few methods being proposed, such as spatial domain [1] [2], wavelet transform domain [3] [4] and specific format document [5]. More than that, some of them put forward many good suggestions on enhancing capacity [6], developing robustness [7] and improving security [8] for binary images.…”
Section: Introductionmentioning
confidence: 99%
“…It is very challenging to undetectably embed information into a binary image. In recent years, with the development of binary images watermarking, there were a few methods being proposed, such as spatial domain [1] [2], wavelet transform domain [3] [4] and specific format document [5]. More than that, some of them put forward many good suggestions on enhancing capacity [6], developing robustness [7] and improving security [8] for binary images.…”
Section: Introductionmentioning
confidence: 99%
“…It is very challenging to undetectably embed information into a binary image. In recent years, with the development of binary images watermarking, there were a few methods being proposed, such as spatial domain [1] [2], wavelet transform domain [3] [4] and specific format document [5]. More than that, some of them put forward many good suggestions on enhancing capacity [6], developing robustness [7] and improving security [8] for binary images.…”
Section: Introductionmentioning
confidence: 99%