Title :
A Robust Image Watermarking Scheme Based on a Novel HVS Model in Curvelet Domain
Author :
Xiao, Yi ; Cheng, LM ; Cheng, LL
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
Abstract :
In this paper, a robust image watermarking scheme based on curvelet transform is proposed. Considering the frequency and orientational sensitivity of the human visual system(HVS), we present a HVS model in curvelet domain,which is used to control the embedding strength. The watermark is embedded to the selected coefficients of the curvelet transform, and original image is not required in the extracting process. The experimental results demonstrate that the proposed algorithm can provide excellent robustness against most image processing methods.
Keywords :
curvelet transforms; image coding; watermarking; HVS model; curvelet transform; human visual system; image processing methods; robust image watermarking scheme; Data mining; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Frequency; Humans; Image processing; Robustness; Signal processing algorithms; Watermarking; Novel HVS Model;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3278-3
DOI :
10.1109/IIH-MSP.2008.228