DocumentCode :
2467801
Title :
A PCA-DWT-SVD based color image watermarking
Author :
Imran, Muhammad ; Ghafoor, Abdul
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
1147
Lastpage :
1152
Abstract :
A robust color image watermarking scheme is proposed, in which a color watermark is embedded into a color image. Principle component analysis is used to uncorrelate the R, G and B channels of both the images. Each channel of color watermark is embedded into singular values of corresponding channel of cover image after discrete wavelet decomposition. As original image is required at the time of extraction of watermark so given scheme is non-blind. Peak signal to noise ratio is used to measure the imperceptibility whereas similarity between original and extracted watermark is measured using normalized correlation coefficient. The scheme was tested against various attacks (including histogram equalization, Gaussian noise, cropping, Y-shearing, X-shearing, affine transformation, salt & pepper), to check the robustness. The results of proposed scheme are compared with existing color watermarking schemes. The results show that proposed scheme is robust and imperceptible.
Keywords :
Gaussian noise; affine transforms; discrete wavelet transforms; image colour analysis; image watermarking; principal component analysis; singular value decomposition; B channels; G channels; Gaussian noise; PCA-DWT-SVD based color image watermarking; Principle component analysis; R channels; V-shearing; X-shearing; affine transformation; cover image; cropping; discrete wavelet decomposition; histogram equalization; image similarity; imperceptibility; peak signal to noise ratio; pepper; salt; singular value decomposition; watermark extraction; Color; Colored noise; Discrete wavelet transforms; Image color analysis; PSNR; Robustness; Watermarking; Copyright protection; color watermark; discrete wavelet transform; imperceptibility; principle component analysis; singular value decomposition; watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
Type :
conf
DOI :
10.1109/ICSMC.2012.6377886
Filename :
6377886
Link To Document :
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