Title :
An Improved Self-Adaptive Digital Watermarking Algorithm for RGB Images Based on W-SVD
Author :
Zhu, Suwen ; Liu, Bingxin ; Chai, Yanmei
Author_Institution :
Central Univ. of Finance & Econ., Beijing, China
Abstract :
In this paper, an improved and more robust digital image watermarking algorithm based on traditional W-SVD algorithm is proposed. We present a novel HVS-based watermarking scheme. Firstly, to increase robustness of the scheme, the watermark is refined by a watermark strength regulation factor. The factor is adjusted by the luminance sensitivity and texture complexity of G layer component of the host image. Then a secret message is scrambled using Arnold transform and modified into a watermark template. Finally, the watermark template will be embedded in the low-frequency coefficients of the host image, after a 2-level DWT handling. In comparison to the traditional W-SVD algorithm, our proposed algorithm has achieved significantly higher robustness against enhancement and noise addition attacks. Experimental results show that high imperceptibility is expected from the improved algorithm as well as higher robustness against common signal processing attacks.
Keywords :
discrete wavelet transforms; image colour analysis; image enhancement; image texture; image watermarking; 2-level DWT handling; Arnold transform; G layer component; RGB images; W-SVD; image enhancement; improved self-adaptive digital watermarking algorithm; low-frequency coefficients; luminance sensitivity; noise addition attacks; novel HVS-based watermarking scheme; robust digital image watermarking algorithm; secret message; signal processing attacks; texture complexity; watermark strength regulation factor; watermark template; Complexity theory; Discrete wavelet transforms; Humans; Image coding; Robustness; Watermarking; HVS; W-SVD; arnold transform; digital image watermarking; discrete wavelet transform;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2943-9
DOI :
10.1109/ICMeCG.2012.55