DocumentCode :
2880100
Title :
Blind watermarking via NMF with sparseness constraint
Author :
Wang, Chen ; Wang, Xiaomin ; Huang, Shenhua
Author_Institution :
Dept. of Electr. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Volume :
2
fYear :
2005
fDate :
12-14 Oct. 2005
Firstpage :
898
Lastpage :
901
Abstract :
NMF is a linear representation that could lead to sparse coding of natural images, which coincides with human being´s vision system. In this paper, the blind watermark algorithm via NMF, for the first time in the field of watermark, is proposed. Spread spectrum embedding scheme is adopted in order to make a controllable tradeoff between robustness and perceptual imperceptivity. Hoyer´s NMF (2004) approach is adopted to evaluate watermark performance under different sparseness constraints, of coefficients and image basis respectively. Investigations are carried out through experiments, and the results show that suitable sparseness constraint is essential for good watermarking, and parts-based basis are more robust than orientation, band-pass basis. Watermark extractions under various attacks are illustrated, show algorithms´ effectiveness and robustness.
Keywords :
image coding; independent component analysis; matrix algebra; watermarking; bandpass basis; blind watermark algorithm; controllable tradeoff; human being vision system; sparse coding; spread spectrum embedding scheme; Digital images; Humans; Image coding; Independent component analysis; Nonlinear filters; Principal component analysis; Robustness; Spread spectrum communication; Vectors; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9538-7
Type :
conf
DOI :
10.1109/ISCIT.2005.1567011
Filename :
1567011
Link To Document :
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