Title :
Adaptive watermark algorithm based fast curvelet transform
Author :
Shen, Zheng-wei ; Liao, Fu-cheng
Author_Institution :
Fac. of Math. & Mech., Univ. of Sci. & Technol. of Beijing, Beijing
Abstract :
The curvelet transform is a new multi-scale analysis method which can be used to represent perfectly the curve edges of natural image. Robust image watermark algorithm should embed the watermark into the edges of image according to human visual system. In this paper, an adaptive image watermark algorithm in curvelet domain was proposed. Firstly, the original image was decomposed into curvelet coefficients using fast curvelet transform. Then the significant coefficientpsilas position of different scales and orientations was located by analyzing the properties of them. At last, an adaptive watermark algorithm was used to embed a binary image into the curvelet significant coefficients by using the different scaling factor. The experiments show that a trade-off between the robust and imperceptibility can be obtained.
Keywords :
curvelet transforms; image segmentation; watermarking; adaptive watermark algorithm; binary image decomposition; fast curvelet transform; human visual system; multiscale analysis method; robust image watermark algorithm; Algorithm design and analysis; Humans; Image analysis; Pattern analysis; Pattern recognition; Robustness; Visual system; Watermarking; Wavelet analysis; Wavelet transforms; Digital watermark; Fast curvelet transform; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-2238-8
Electronic_ISBN :
978-1-4244-2239-5
DOI :
10.1109/ICWAPR.2008.4635835