A cost effective region specific spatial domain color image watermarking scheme

In object oriented images, ROI (Region of Interest) is an area which contains important information and attracts more attention of an image viewer. So it is desirable to embed robust watermark in ROI to give better protection. The present paper describes a region specific low cost (computational complexity) watermarking scheme in spatial domain by inserting data into the most valuable regions in the cover image. Those regions are selected by Quad tree decomposition of host image. Quad tree decomposition is a method of image segmentation which splits an image into regions such that large regions are formed when the intensities are uniform and small regions of variable sizes are created, in the comparatively non-uniform area of the image. Small regions represent the presence of critical information of the image, and hence are the important places of watermarking. Simulation results duly support this claims.

[1]  Rong-Chun Zhao,et al.  A multi-channel framework for image watermarking , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[2]  Ranjan Bose,et al.  Information theory, coding and cryptography , 2003 .

[3]  H.C.S. Rughooputh,et al.  Effect of channel coding on the performance of spatial watermarking for copyright protection , 2002, IEEE AFRICON. 6th Africon Conference in Africa,.

[4]  Rolf Johannesson,et al.  Fundamentals of Convolutional Coding , 1999 .

[5]  Nasir Memon,et al.  Secret and public key image watermarking schemes for image authentication and ownership verification , 2001, IEEE Trans. Image Process..

[6]  Thomas Johansson,et al.  Improved Fast Correlation Attacks on Stream Ciphers via Convolutional Codes , 1999, EUROCRYPT.

[7]  Mohammed J. Islam,et al.  An Adaptive Digital Image Watermarking Technique for Copyright Protection , 2007 .

[8]  Lakhmi C. Jain,et al.  Intelligent Watermarking Techniques: (With CD-ROM) , 2004 .

[9]  Ioannis Pitas,et al.  Copyright protection of still images using self-similar chaotic watermarks , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[10]  Benoit M. Macq,et al.  Geometrically invariant watermarking using feature points , 2002, IEEE Trans. Image Process..

[11]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[12]  Heung-Kyu Lee,et al.  Invariant image watermark using Zernike moments , 2003, IEEE Trans. Circuits Syst. Video Technol..