Title :
Independent component analysis of digital image watermarking
Author :
Zhang, Shiwei ; Rajan, P.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper independent component analysis (ICA) is used to test the robustness of watermarked image. By applying suitable ICA forward transformation, the distributions of the cover image and the watermark are modified. The cover image and the watermark are estimated by using a nonlinear filter and the inverse transform matrix. The preliminary experiments show that ICA attack not only influences the hidden information but also improves the image quality for reasonable embedding strengths.
Keywords :
copy protection; entropy; image coding; matrix algebra; nonlinear filters; ICA attack; ICA forward transformation; differential entropy; digital image watermarking; image quality; independent component analysis; inverse transform matrix; mean square error; nonlinear filter; objective function; optimal nonlinear function; watermarked image robustness; Data mining; Digital images; Image quality; Independent component analysis; Nonlinear filters; Protection; Robustness; Signal processing algorithms; Testing; Watermarking;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010199
