Earticle

초록

영어

In this paper, a robust optimal zero-watermarking technique based on genetic algorithm for secret watermark sharing is proposed for the purpose of copyright protection. It is implemented in discrete cosine transform (DCT) for gray scale images in which the visual secret sharing is used to generate unexpanded master and secret shares for the watermark. The GA based zero watermarking is used to select the perfect positions to extract the robust features. The experimental results indicate that the proposed scheme is highly robust even after different types of attacks being applied, where NC values of each selected attack are considered in the fitness function of the genetic optimization algorithm.

목차

Abstract
 1. Introduction
 2. Visual secret sharing scheme
 3. The Proposed Optimal Zero-Watermarking Technique based on GA
  3.1. Embedding Process
  3.2. Extraction process
  3.3. Genetic algorithm (GA) for optimal positions selection
 4. Experimental results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Jumana Waleed [ School of information Science and Engineering, Central South University, Changsha, 410083, China ]
• Huang Dong Jun [ School of information Science and Engineering, Central South University, Changsha, 410083, China ]
• Saad Hameed [ College of Information Science and Engineering, Hunan University, Changsha, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605