Error-Resilient Triple-Watermarking with Multiple Description Coding

W atermarking is one useful solution for digital rights management (DRM) systems , and it is a popular research topic in the last decade . In this paper, besides the inherent behavior to conquer against intentional or unintentional attacks for watermarking, we not only watch the survivability of embedded watermark, but also focus on retaining the watermarked image quality with the aid of multiple description coding (MDC). MDC is a technique for error resilient coding, suitable for transmitting compressed data over multiple channels. In this paper, we propose a n ew algorithm on vector quantization (VQ) based image watermarking, which is suitable for error-resilient transmission. By incorporating watermarking with MDC , the scheme we proposed for embedding three watermarks can effectively overcome channel impairments while retaining the capability for ownership protection. With the promising simulation results presented, we can demonstrate the utility and practicability of our algorithm.

[1]  Khalid Sayood,et al.  Introduction to Data Compression , 1996 .

[2]  Vinay A. Vaishampayan,et al.  Design of multiple description scalar quantizers , 1993, IEEE Trans. Inf. Theory.

[3]  Michael T. Orchard,et al.  An improvement to multiple description transform coding , 2002, IEEE Trans. Signal Process..

[4]  Jeng-Shyang Pan,et al.  Robust VQ-based digital watermarking for memoryless binary symmetric channel , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[5]  W. C. Chu,et al.  DCT-based image watermarking using subsampling , 2003, IEEE Trans. Multim..

[6]  Michael T. Orchard,et al.  Multiple description coding using pairwise correlating transforms , 2001, IEEE Trans. Image Process..

[7]  Zoran Bojkovic,et al.  Multimedia Communication Systems: Techniques, Standards, and Networks , 2002 .

[8]  Jie Zhu,et al.  Robust speech watermarking algorithm , 2007 .

[9]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[10]  Yan Lin,et al.  A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression , 2003, IEEE Trans. Circuits Syst. Video Technol..

[11]  Jean-François Delaigle,et al.  Low cost spatial watermarking , 1998, Comput. Graph..

[12]  Lakhmi C. Jain,et al.  VQ-based watermarking scheme with genetic codebook partition , 2007, J. Netw. Comput. Appl..

[13]  Norbert Goertz,et al.  Optimization of the index assignments for multiple description vector quantizers , 2003, IEEE Trans. Commun..

[14]  Wenjun Zeng,et al.  Image-adaptive watermarking using visual models , 1998, IEEE J. Sel. Areas Commun..

[15]  Sheng-He Sun,et al.  Digital image watermarking technique based on vector quantisation , 2000 .

[16]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[17]  Vivek K. Goyal,et al.  Multiple description coding: compression meets the network , 2001, IEEE Signal Process. Mag..

[18]  Richard Wellershoff Multimedia communication systems , 1993 .

[19]  O. Roeva,et al.  Information Hiding: Techniques for Steganography and Digital Watermarking , 2000 .

[20]  Khalid Sayood,et al.  Introduction to Data Compression, Third Edition , 2006, The Morgan Kaufmann series in multimedia information and systems.

[21]  Rafael C. González,et al.  Digital image processing, 3rd Edition , 2008 .

[22]  Yun Q. Shi,et al.  Reversible Data Hiding , 2003, IWDW.

[23]  Yao Zhao,et al.  Reversible Watermarking Based on Invariability and Adjustment on Pixel Pairs , 2008, IEEE Signal Processing Letters.