Multiple description multi-watermarking with tabu search approaches

Jeng-Shyang Pan; Chun-Yen Huang; Hsiang-Chen Huang; Bin-Yih Liao; Kuang-Chih Huang

doi:10.1117/12.632677

24 June 2005 Multiple description multi-watermarking with tabu search approaches

Jeng-Shyang Pan, Chun-Yen Huang, Hsiang-Chen Huang, Bin-Yih Liao, Kuang-Chih Huang

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59604A (2005) https://doi.org/10.1117/12.632677
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Digital watermarking is one of the useful solutions for digital rights management systems, and it is also a popular research topic in the last decade. However, most watermarking related literature focus on how to resist intentional attacks by applying benchmarks to watermarked media to estimate the effectiveness of the watermarking algorithm. Only a few papers concentrate on the errorresilient transmission of watermarked media. In this paper, we propose an innovative algorithm on vector quantization (VQ) based image watermarking, suitable for error-resilient transmission overnoisy channels. By incorporating watermarking with multiple description coding (MDC), our propsed schemes for embedding multiple watermarks can efficiently overcome channel impairments while retaining the capability for copyright and ownership protection. In addition, we employ one optimization technique, called tabu search, to optimize both the watermarked image quality, and the robustness of the extracted watermarks. Simulations emonstrate the utility and practicability of our proposed algorithm.

Citation Download Citation

Jeng-Shyang Pan, Chun-Yen Huang, Hsiang-Chen Huang, Bin-Yih Liao, and Kuang-Chih Huang "Multiple description multi-watermarking with tabu search approaches", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604A (24 June 2005); https://doi.org/10.1117/12.632677

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available