CONTOURLET TRANSFORM BASED WATERMARKING FOR COLOUR IMAGES

This paper presents a contourlet transform based watermarking scheme for colour images. It also makes use of discrete cosine transform and singular value decomposition. Discrete cosine transform is applied on three colour components (Y, Cb and Cr), obtained from the colour image, to produce DCT coefficients. These coefficients are decomposed into directional subbands using 2- level contourlet transform. The watermark is also decomposed using contourlet transform. The fourth directional subbands of cover image and watermark as well are further subjected to Laplacian pyramid decomposition. As a result, the low pass subbands are obtained. The singular values of lowpass subband of watermark are embedded into singular values of lowpass subband of cover image. The experimental results reveal that the proposed watermarking scheme is robust against common image processing attacks. The results also demonstrate good imperceptibility.

[1]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..

[2]  Enhancing performance of image watermarks using Contourlet Transform , 2009, 2009 National Radio Science Conference.

[3]  P. Yip,et al.  Discrete Cosine Transform: Algorithms, Advantages, Applications , 1990 .

[4]  Mauro Barni,et al.  Copyright protection of digital images by means of frequency domain watermarking , 1998, Optics & Photonics.

[5]  Uday B. Desai,et al.  Blind Watermarking in Contourlet Domain with Improved Detection , 2006, 2006 International Conference on Intelligent Information Hiding and Multimedia.

[6]  Mark J. T. Smith,et al.  A filter bank for the directional decomposition of images: theory and design , 1992, IEEE Trans. Signal Process..

[7]  Zi-Quan Hong,et al.  Algebraic feature extraction of image for recognition , 1991, Pattern Recognit..

[8]  Balasubramanian Raman,et al.  A new robust watermarking scheme for color images , 2010, 2010 IEEE 2nd International Advance Computing Conference (IACC).

[9]  Ahmet M. Eskicioglu,et al.  Multidimensional image quality measure using singular value decomposition , 2003, IS&T/SPIE Electronic Imaging.

[10]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[11]  Stephen D. Wolthusen,et al.  Techniques and Applications of Digital Watermarking and Content Protection , 2003, Artech House computer security series.

[12]  Jiann-Der Lee,et al.  International Conference on Intelligent Information Hiding and Multimedia Signal Processing , 2008 .

[13]  S. Srinivas Kumar,et al.  Robust Digital Watermarking Scheme using Contourlet Transform , 2008 .

[14]  Francesco Bergadano,et al.  A Novel Block-based Watermarking Scheme Using the SVD Transform , 2009, Algorithms.