A robust watermarking scheme using lifting wavelet transform and singular value decomposition

The present paper proposes a robust image watermarking scheme using lifting wavelet transform (LWT) and singular value decomposition (SVD). Second level LWT is applied on host/cover image to decompose into different subbands. SVD is used to obtain singular values of watermark image and then these singular values are updated with the singular values of LH2 subband. The algorithm is tested on a number of benchmark images and it is found that the present algorithm is robust against different geometric and image processing operations. A comparison of the proposed scheme is performed with other existing schemes and observed that the present scheme is better not only in terms of robustness but also in terms of imperceptibility.

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

[2]  Yonggang Fu Robust oblivious image watermarking scheme based on coefficient relation , 2013 .

[3]  Shi-Jinn Horng,et al.  A wavelet-tree-based watermarking method using distance vector of binary cluster , 2009, Expert Syst. Appl..

[4]  Wim Sweldens,et al.  The lifting scheme: a construction of second generation wavelets , 1998 .

[5]  W. Sweldens The Lifting Scheme: A Custom - Design Construction of Biorthogonal Wavelets "Industrial Mathematics , 1996 .

[6]  C. Das,et al.  A novel blind robust image watermarking in DCT domain using inter-block coefficient correlation , 2014 .

[7]  Xiao Zeng,et al.  Reversible Image Watermarking Using Interpolation Technique , 2010, IEEE Transactions on Information Forensics and Security.

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

[9]  Mahmood Fathy,et al.  Robust watermarking scheme based on RDWT-SVD: Embedding data in all subbands , 2011, 2011 International Symposium on Artificial Intelligence and Signal Processing (AISP).

[10]  Amit Phadikar,et al.  Quantization Based Data Hiding Scheme for Efficient Quality Access Control of Images Using DWT via Lifting , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[11]  Hui Li,et al.  Reversible data hiding based on block median preservation , 2011, Inf. Sci..

[12]  Millie Pant,et al.  An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony , 2015, Inf. Sci..

[13]  Jun Sang,et al.  Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking , 2008, IEEE Transactions on Instrumentation and Measurement.

[14]  Paul C. H. Lee Performance analysis of an MPEG-II audio/video player , 1999, IEEE Trans. Consumer Electron..

[15]  Rong-Ching Wu,et al.  Analysis of the Exponential Signal by the Interpolated DFT Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.

[16]  Punam Bedi,et al.  Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm , 2014, Expert Syst. Appl..

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

[18]  Balasubramanian Raman,et al.  A blind watermarking algorithm based on fractional Fourier transform and visual cryptography , 2012, Signal Process..