A semi-fragile lossless digital watermarking scheme based on integer wavelet transform

Dekun Zou; Yun Q. Shi; Zhicheng Ni; Wei Su

doi:10.1109/TCSVT.2006.881857

A semi-fragile lossless digital watermarking scheme based on integer wavelet transform

Dekun Zou, Yun Q. Shi, Zhicheng Ni, Wei Su

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

117 Scopus citations

Abstract

In this paper, a new semi-fragile lossless digital water-marking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-pepper noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image.

Original language	English (US)
Pages (from-to)	1294-1300
Number of pages	7
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	16
Issue number	10
DOIs	https://doi.org/10.1109/TCSVT.2006.881857
State	Published - Oct 2006

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

Keywords

Digital watermark
Integer wavelet transform

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10.1109/TCSVT.2006.881857

Cite this

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title = "A semi-fragile lossless digital watermarking scheme based on integer wavelet transform",

abstract = "In this paper, a new semi-fragile lossless digital water-marking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-pepper noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image.",

keywords = "Digital watermark, Integer wavelet transform",

author = "Dekun Zou and Shi, \{Yun Q.\} and Zhicheng Ni and Wei Su",

note = "Funding Information: Manuscript received June 26, 2005; revised May 9, 2006. This work was supported in part by NJCST via NJWINS and in part by the Digital Data Embedding Technologies Group of the Air Force Research Laboratory, Rome Research Site, Information Directorate, Rome, NY, under Contract F30602-03-1-0264. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation there on. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of Air Force Research Laboratory, or the U.S. Government.",

year = "2006",

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doi = "10.1109/TCSVT.2006.881857",

language = "English (US)",

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AU - Shi, Yun Q.

AU - Ni, Zhicheng

AU - Su, Wei

N1 - Funding Information: Manuscript received June 26, 2005; revised May 9, 2006. This work was supported in part by NJCST via NJWINS and in part by the Digital Data Embedding Technologies Group of the Air Force Research Laboratory, Rome Research Site, Information Directorate, Rome, NY, under Contract F30602-03-1-0264. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation there on. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of Air Force Research Laboratory, or the U.S. Government.

PY - 2006/10

Y1 - 2006/10

N2 - In this paper, a new semi-fragile lossless digital water-marking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-pepper noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image.

AB - In this paper, a new semi-fragile lossless digital water-marking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-pepper noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image.

KW - Digital watermark

KW - Integer wavelet transform

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A semi-fragile lossless digital watermarking scheme based on integer wavelet transform

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