Robust SS watermarking with improved capacity

Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters unaltered. In literatures, typically various transformations like DFT, DCT, Fourier–Mellin and wavelet are used for SS mult...

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Published in:	Pattern recognition letters Vol. 28; no. 3; pp. 350 - 356
Main Authors:	Maity, Santi P., Kundu, Malay K., Das, Tirtha S.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Amsterdam Elsevier B.V 01-02-2007 Elsevier
Subjects:	Applied sciences Cryptography Embedding capacity Exact sciences and technology Image processing Information, signal and communications theory Miscellaneous Modulation, demodulation Multi-band discrete wavelet transform Robust watermarking Signal and communications theory Signal processing SS watermarking Telecommunications and information theory Wavelet Wavelet Robust watermarking Embedding capacity Multi-band discrete wavelet transform SS watermarking Performance evaluation Image processing Discrete Fourier transformation Discrete wavelet transforms Multimedia communication Signalling Wavelet transformation Mathematical analysis Multiscale method Information protection Modulation Signal processing Robustness Spread spectrum Discrete cosine transforms SS watermarking: Robust watermarking Digital watermarking Mellin transformation
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Abstract	Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters unaltered. In literatures, typically various transformations like DFT, DCT, Fourier–Mellin and wavelet are used for SS multimedia watermarking but little studies have been attempted so far to see what are the possible factors which can improve robustness. The current paper has critically analyzed few such factors namely design of code pattern, proper signal decomposition suitable for data embedding, direction of decomposition, selection of regions for data embedding, signaling scheme, choice of modulation functions and embedding strength. Based on the observation, wavelet based SS watermarking scheme is proposed and improvement in robustness performance is verified through experimental results as well by mathematical analysis.
AbstractList	Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters unaltered. In literatures, typically various transformations like DFT, DCT, Fourier–Mellin and wavelet are used for SS multimedia watermarking but little studies have been attempted so far to see what are the possible factors which can improve robustness. The current paper has critically analyzed few such factors namely design of code pattern, proper signal decomposition suitable for data embedding, direction of decomposition, selection of regions for data embedding, signaling scheme, choice of modulation functions and embedding strength. Based on the observation, wavelet based SS watermarking scheme is proposed and improvement in robustness performance is verified through experimental results as well by mathematical analysis.
Author	Kundu, Malay K. Das, Tirtha S. Maity, Santi P.
Author_xml	– sequence: 1 givenname: Santi P. surname: Maity fullname: Maity, Santi P. email: spmaity@becs.telecom.ac.in organization: Department of Electronics and Telecommunication Engineering, Bengal Engineering and Science University, Shibpur, Howrah 711 103, India – sequence: 2 givenname: Malay K. surname: Kundu fullname: Kundu, Malay K. email: malay@isical.ac.in organization: Center for Soft Computing Research, Indian Statistical Institute, Kolkata 700 108, India – sequence: 3 givenname: Tirtha S. surname: Das fullname: Das, Tirtha S. email: tirthasankardas@rediffmail.com organization: Department of Electronics and Communication Engineering, Gurunanak Institute of Technology and Management, India
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Keywords	Wavelet Robust watermarking Embedding capacity Multi-band discrete wavelet transform SS watermarking Performance evaluation Image processing Discrete Fourier transformation Discrete wavelet transforms Multimedia communication Signalling Wavelet transformation Mathematical analysis Multiscale method Information protection Modulation Signal processing Robustness Spread spectrum Discrete cosine transforms SS watermarking: Robust watermarking Digital watermarking Mellin transformation
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SubjectTerms	Applied sciences Cryptography Embedding capacity Exact sciences and technology Image processing Information, signal and communications theory Miscellaneous Modulation, demodulation Multi-band discrete wavelet transform Robust watermarking Signal and communications theory Signal processing SS watermarking Telecommunications and information theory Wavelet
Title	Robust SS watermarking with improved capacity
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