Title :
Improved image watermarking scheme using nonnegative matrix factorization and wavelet transform
Author :
Ma, Long ; Song, Shuni
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Abstract :
Ouhsain et al [Expert Systems with Applications 36, 2123-2129(2009)] presented a technique using DWT and NMF, which apply NMF to the blocks of the wavelet decomposition sub-band, and then is followed by eigendecomposition distortion. Motivated by the approach of Ouhsain et al, we proposed an improved image watermarking scheme. Our technique do not apply NMF to the blocks of the wavelet decomposition sub-band, direct apply SVD to these blocks. Our proposed algorithm is simpler than algorithm of Ouhsain et al. Experimental results demonstrate that the proposed scheme not only provides good fidelity and robustness against intentional attacks and normal visual processes, but also achieves a low computational complexity.
Keywords :
image coding; singular value decomposition; watermarking; wavelet transforms; image watermarking; intentional attack; nonnegative matrix factorization; normal visual process; singular value decomposition; wavelet transform; Automation; Computational complexity; Digital images; Discrete wavelet transforms; Expert systems; Image processing; Noise robustness; Security; Watermarking; Wavelet transforms; Nonnegative matrix factorization; component; watermarking; wavele ttransform;
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
DOI :
10.1109/WCSP.2009.5371664