A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform

In this paper, a new semi-fragile lossless digital watermarking 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 sche...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2006-10, Vol.16 (10), p.1294-1300
Main Authors: Zou, D., Shi, Y.Q., Zhicheng Ni, Wei Su
Format: Article
Language:English
Subjects:
Applied sciences
Biomedical imaging
Circuit properties
Coding, codes
Cryptography
Data encapsulation
Detection, estimation, filtering, equalization, prediction
Digital watermark
Digital watermarking
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Exact sciences and technology
Frequency filters
Government
Image coding
Image compression
Information retrieval
Information, signal and communications theory
integer wavelet transform
Integers
Lossless
Noise robustness
Signal and communications theory
Signal, noise
Streaming media
Telecommunications and information theory
Transform coding
Watermarking
Wavelet transforms
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Summary:In this paper, a new semi-fragile lossless digital watermarking 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
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2006.881857