Title: Robust multichannel colour image watermarking using lifting wavelet transform with singular value decomposition

Authors: Sushma G. Kejgir; Manesh B. Kokare

Addresses: Electronics and Telecommunication Engineering Department, Shri Guri Gobind Singhji Institute of Engineering and Technology Vishnupuri, Nanded, 431606, Maharastra, India ' Electronics and Telecommunication Engineering Department, Shri Guri Gobind Singhji Institute of Engineering and Technology Vishnupuri, Nanded, 431606, Maharastra, India

Abstract: In this paper, a new multichannel colour image watermarking, with colour watermark, using lifting wavelet transform (LWT) and singular value decomposition (SVD) is proposed for authentication in multimedia applications. Watermark is separated into RGB channels and scaled. LL band is decomposed from original image using LWT and separated into RGB channels. Singular value decomposition is operated on each channel and a scaled watermark is embedded in it. Use of LWT lends the advantages of real time applications, reduces computational complexity by 50% on account of employing split and merges instead of using down and up sampling process. Secondly, use of SVD lends non-invertible property to the watermarking so that fake watermarked image cannot be generated. This algorithm is spread spectrum and semi blind. Experimental results and analysis show that proposed algorithm is robust (against benchmark StirMark4.0 standard attacks) and trustworthy in establishing the ownership.

Keywords: multichannel watermarking; lifting wavelet transform; LWT; information security; colour images; singular value decomposition; SVD; colour watermarks; multimedia.

DOI: 10.1504/IJCSE.2014.060719

International Journal of Computational Science and Engineering, 2014 Vol.9 No.4, pp.371 - 385

Received: 21 Feb 2012
Accepted: 15 Apr 2012

Published online: 24 May 2014 *

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