원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.8 No.5
2014.09
pp.349-360
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보