Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
To further enhance the performance of existing watermarking scheme, watermarking algorithm based on kernel fuzzy clustering and singular value decomposition in the complex wavelet transform domain is proposed in this paper. Firstly, the host image is decomposed by complex wavelet transform. Then, the singular value of the low-frequency coefficients after image complex wavelet is selected as an embedded object, which makes the watermarked image with good hiding. Finally, image low-frequency background and high-frequency texture features, which are related to human visual masking, are used as fuzzy clustering feature vectors to determine the different embedding strength. Experimental results show the proposed scheme is not only invisible and robust against common image processing such as sharpening, noise adding, smoothing filtering, JPEG compression and contrast enhancement, but also robust against the geometric attacks such as distortion, shearing. Especially, it performs better than other image watermarking schemes based on spatial and wavelet domain.
Keywords :
fuzzy set theory; image texture; image watermarking; pattern clustering; singular value decomposition; wavelet transforms; JPEG compression; high-frequency texture feature; host image; human visual masking; image complex wavelet transform domain; image contrast enhancement; image distortion; image processing; image sharpening; image shearing; image smoothing filtering; image watermarking algorithm; kernel fuzzy clustering; low-frequency coefficient; singular value decomposition; spatial domain; watermarked image; Kernel; Singular value decomposition; Transform coding; Watermarking; Wavelet domain; Wavelet transforms; Digital watermarking; dual-tree complex wavelet; human visual model; kernel fuzzy clustering; singular value decomposition;
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on