Curvelet based adaptive watermarking for images
Haohao Song, Jian Hui Gu · 2012
In this paper, we propose a curvelet based adaptive watermarking for images (CvAWI). A image is firstly transformed into curvelet domain; the watermark is embedded into the curvelet coefficients of the middle-frequency subbands of image lastly. On the one hand, the embedded watermark is well invisible because contrast sensitivity function and watermark visual mask are adopted in our CvAWI. On the other hand, the embedded watermark is very robust due to the spread specialty of curvelet transform (CvT). The corresponding watermarking detection algorithm is proposed to decide whether the watermark is present or not by exploiting the unique transform structure of curvelet. Experimental results show the validity of CvAWI in terms of both watermarking invisibility and watermarking robustness.