Robust image watermarking in the spatial domain

The rapid evolution of digital image manipulation and transmission techniques has created a pressing need for the protection of the intellectual property rights on images. A copyright protection method that is based on hiding an ‘invisible’ signal, known as digital watermark, in the image is presented in this paper. Watermark casting is performed in the spatial domain by slightly modifying the intensity of randomly selected image pixels. Watermark detection does not require the existence of the original image and is carried out by comparing the mean intensity value of the marked pixels against that of the pixels not marked. Statistical hypothesis testing is used for this purpose. Pixel modifications can be done in such a way that the watermark is resistant to JPEG compression and lowpass filtering. This is achieved by minimizing the energy content of the watermark signal at higher frequencies while taking into account properties of the human visual system. A variation that generates image dependent watermarks as well as a method to handle geometrical distortions are presented. An extension to color images is also pursued. Experiments on real images verify the effectiveness of the proposed techniques.

[1]  Jean-Jacques Quisquater,et al.  Cryptology for digital TV broadcasting , 1995, Proc. IEEE.

[2]  Francis M. Boland,et al.  Phase watermarking of digital images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  Chun-Hsien Chou,et al.  A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile , 1995, IEEE Trans. Circuits Syst. Video Technol..

[4]  R. Vanderbei LOQO:an interior point code for quadratic programming , 1999 .

[5]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[6]  C. F. Osborne,et al.  A digital watermark , 1994, Proceedings of 1st International Conference on Image Processing.

[7]  Frank Boland,et al.  Watermarking digital images for copyright protection , 1995 .

[8]  Robert J. Safranek,et al.  Signal compression based on models of human perception , 1993, Proc. IEEE.

[9]  Ahmed H. Tewfik,et al.  Transparent robust image watermarking , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[10]  Chun-Hsien Chou,et al.  A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

[11]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for images, audio and video , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[12]  Ioannis Pitas,et al.  A method for signature casting on digital images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[13]  Hirotsugu Kinoshita An image digital signature system with ZKIP for the graph isomorphism , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[14]  Ioannis Pitas,et al.  Copyright protection of images using robust digital signatures , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[15]  Eckhard Koch,et al.  Towards Robust and Hidden Image Copyright Labeling , 1995 .

[16]  Bernd Girod,et al.  Digital watermarking of raw and compressed video , 1996, Other Conferences.

[17]  Bernd Girod,et al.  The Information Theoretical Significance of Spatial and Temporal Masking in Video Signals , 1989, Photonics West - Lasers and Applications in Science and Engineering.

[18]  G. R. Walsh,et al.  Methods Of Optimization , 1976 .

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

[20]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[21]  Edward J. Delp,et al.  A watermark for digital images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

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

[23]  Ioannis Pitas,et al.  Image watermarking using DCT domain constraints , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[24]  Hung T. Nguyen,et al.  Probability for statistics , 1989 .

[25]  Jian Zhao,et al.  Embedding Robust Labels into Images for Copyright Protection , 1995, KnowRight.

[26]  Ioannis Pitas,et al.  Applications of toral automorphisms in image watermarking , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[27]  Konstantinos Konstantinides,et al.  Image and Video Compression Standards: Algorithms and Architectures , 1997 .

[28]  Walter Bender,et al.  Techniques for Data Hiding , 1996, IBM Syst. J..