A new wavelet based logo-watermarking scheme

A new wavelet based logo-watermarking scheme for copyright protection of digital image is presented. Instead of using a noise type Gaussian sequence, a visually meaningful gray scale logo is used as watermark. Watermark embedding process is carried out by transforming both the image and logo in wavelet domain. To embed the watermark robustly and imperceptibly, watermark bits are added to the significant coefficients of each subband selected by considering the human visual system (HVS) characteristics. A scheme is developed for reliable extraction of watermark from distorted images. From the experimental results it can be observed that proposed method is robust to wide variety of attacks. Comparison with the existing methods shows the superiority of the proposed method.

[1]  Kineo Matsui,et al.  Embedding a seal into a picture under orthogonal wavelet transform , 1996, Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems.

[2]  Yiwei Wang,et al.  A wavelet-based watermarking algorithm for ownership verification of digital images , 2002, IEEE Trans. Image Process..

[3]  Andreas Uhl,et al.  Survey of wavelet-domain watermarking algorithms , 2001, IS&T/SPIE Electronic Imaging.

[4]  Li Wenbo,et al.  A chaos-based robust wavelet-domain watermarking algorithm , 2004 .

[5]  G. C. Langelaar,et al.  Watermarking digital image and video data , 2000 .

[6]  Ja-Ling Wu,et al.  Hidden signatures in images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[7]  Gordon W. Braudaway,et al.  Protecting publicly-available images with an invisible image watermark , 1996, Proceedings of International Conference on Image Processing.

[8]  Ja-Ling Wu,et al.  Multiresolution watermarking for digital images , 1998 .

[9]  Andreas Uhl,et al.  Protection of wavelet-based watermarking systems using filter parametrization , 2003, Signal Process..

[10]  Iwan Setyawan,et al.  Watermarking digital image and video data. A state-of-the-art overview , 2000 .

[11]  Wenjun Zeng,et al.  Extraction of multiresolution watermark images for resolving rightful ownership , 1999, Electronic Imaging.

[12]  Adrian S. Lewis,et al.  Image compression using the 2-D wavelet transform , 1992, IEEE Trans. Image Process..

[13]  Deepa Kundur,et al.  Toward robust logo watermarking using multiresolution image fusion principles , 2004, IEEE Transactions on Multimedia.

[14]  John D. Villasenor,et al.  Visibility of wavelet quantization noise , 1997, IEEE Transactions on Image Processing.

[15]  Won Don Lee,et al.  An image watermarking scheme with hidden signatures , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[16]  Xu-Dong Zhang,et al.  Image watermarking using tree-based spatial-frequency feature of wavelet transform , 2003, J. Vis. Commun. Image Represent..

[17]  Yuan-Pei Lin,et al.  Wavelet tree quantization for copyright protection watermarking , 2004, IEEE Trans. Image Process..

[18]  Mauro Barni,et al.  Improved wavelet-based watermarking through pixel-wise masking , 2001, IEEE Trans. Image Process..

[19]  Sheng-He Sun,et al.  Multiresolution watermarking for video based on gray-level digital watermark , 2000, IEEE Trans. Consumer Electron..