A new approach of nonblind watermarking methods based on DWT and SVD via LU decomposition

Multimedia security has been the focal point of considerable research activity in the last decade, mainly because of its wide application area. Watermarking, in particular, is identified as a major technology to achieve copyright protection and multimedia security. Therefore, recent studies in the literature include some evident approaches for embedding data into a multimedia element. Because of its useful frequency component separation, the discrete wavelet transform (DWT) is commonly used in watermarking schemes. Moreover, singular value decomposition (SVD) and lower-and-upper (LU) decomposition have little effect on the perception of the watermark. Therefore, in this study, a combination of DWT and SVD via LU decomposition is proposed as a new nonblind watermarking algorithm that requires cover work to detect the watermark. Experimental results show that the proposed algorithm is considerably robust and reliable against certain attacks without degrading the input image, by embedding a binary watermark on the low-low band. Moreover, the threshold values are data-dependent for watermarks after attacks; that is, the threshold value is always different from another for certain attacks so that similarity ratios in this algorithm, as a quality metric, are much more than those of the other algorithms consisting of DWT and/or SVD despite strong attacks causing lower peak signal-to-noise ratio values. Apart from robustness, reliability, and data-dependence, the other novel aspect of this study is to expand the application areas of watermarking with a new algorithm consisting of DWT, LU, and SVD, and this study will contribute to the literature for certain cases.

[1]  Ahmet M. Eskicioglu,et al.  A DWT-based robust semi-blind image watermarking algorithm using two bands , 2006, Electronic Imaging.

[2]  Victor A. Skormin,et al.  SVD-Based Approach to Transparent Embedding Data into Digital Images , 2001, MMM-ACNS.

[3]  D. Chandra.  Digital image watermarking using singular value decomposition , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

[4]  Paresh Rawat,et al.  A Robust Watermarking Approach using DCT-DWT , 2012 .

[5]  Mingfang Jiang,et al.  A New Adaptive Visible Watermarking Algorithm for Document Images , 2012 .

[6]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[7]  Saraju P. Mohanty,et al.  VLSI implementation of invisible digital watermarking algorithms towards the development of a secure JPEG encoder , 2003, 2003 IEEE Workshop on Signal Processing Systems (IEEE Cat. No.03TH8682).

[8]  E. Elbasi.  Robust multimedia watermarking: Hidden Markov model approach for video sequences , 2010 .

[9]  Mariko Nakano-Miyatake,et al.  A Blind Video Watermarking Scheme Robust To Frame Attacks Combined With MPEG2 Compression , 2010 .

[10]  Yildiray Yalman,et al.  Data hiding in digital images using a partial optimization technique based on the classical LSB method , 2013 .

[11]  Shumei Wang,et al.  A Gray Scale Watermarking Algorithm Based on LU Factorization , 2008, 2008 International Symposiums on Information Processing.

[12]  Narendra Ahuja,et al.  A new wavelet-based scheme for watermarking images , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[13]  Yildiray Yalman,et al.  A new color image quality measure based on YUV transformation and PSNR for human vision system , 2013 .

[14]  Ziya Telatar,et al.  Improved SVD-DWT based digital image watermarking against watermark ambiguity , 2007, SAC '07.

[15]  Tieniu Tan,et al.  An SVD-based watermarking scheme for protecting rightful ownership , 2002, IEEE Trans. Multim..

[16]  Yong-Huai Huang,et al.  Hiding digital watermarks using multiresolution wavelet transform , 2001, IEEE Trans. Ind. Electron..

[17]  Q. Zhang,et al.  An Improved Robust and Adaptive Watermarking Algorithm Based on DCT , 2012 .

[18]  P. Bao,et al.  Image adaptive watermarking using wavelet domain singular value decomposition , 2005 .

[19]  M. Hadhoud,et al.  An Efficient Block-by-Block SVD-Based Image Watermarking Scheme , 2007, 2007 National Radio Science Conference.

[20]  Sushil Jajodia,et al.  A robust watermarking system based on SVD compression , 2006, SAC '06.