A New Image Watermarking Scheme Using Non-dominated Sorting Genetic Algorithm II

Author

Jiann-Shu Lee ; Fei-Hsiang Huang ; Hsiao-Chen Kuo

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan

fYear

2013

fDate

2-5 July 2013

Firstpage

56

Lastpage

61

Abstract

In recent years, singular value decomposition has become a popular tool for image watermarking. In this paper, we propose a new blind watermarking scheme by quantizing the singular values of wavelet component. To optimize the system performance, we treat the image watermarking as a multi-objective optimization problem based on non-dominated sorting genetic algorithm II. Based on this new perspective, the inherent conflict existing in image fidelity and watermark robustness for image watermarking can be objectively handled. The experimental study shows that our method indeed provide superior performance.

Keywords

genetic algorithms; image watermarking; singular value decomposition; wavelet transforms; SVD; blind watermarking scheme; image fidelity; image watermarking scheme; multiobjective optimization problem; nondominated sorting genetic algorithm II; singular value decomposition; watermark robustness; wavelet component; Genetic algorithms; Quantization (signal); Robustness; Sociology; Sorting; Statistics; Watermarking; non-dominated sorting genetic algorithm; singular value decomposition; watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics and Security Technologies (ISBAST), 2013 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-5010-7

Type

conf

DOI

10.1109/ISBAST.2013.11

Filename

6597666