Title :
A robust non-blind color image watermarking scheme
Author :
Imran, Muhammad ; Ghafoor, Abdul ; Khokher, Muhammad Rizwan
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
Abstract :
A non-blind color image watermarking scheme using principle component analysis, discrete wavelet transform and singular value decomposition is proposed. The color components are uncorrelated using principle component analysis. The watermark is embedded into the singular values of discrete wavelet transformed sub-band associated with principle component containing most of the color information. The scheme was tested against various attacks (including histogram equalization, rotation, Gaussian noise, scaling, cropping, Y-shearing, X-shearing, median filtering, affine transformation, translation, salt & pepper, sharpening), to check the robustness. The results of proposed scheme are compared with state-of-the-art existing color watermarking schemes using normalized correlation coefficient and peak signal to noise ratio. The simulation results show that proposed scheme is robust and imperceptible.
Keywords :
Gaussian noise; affine transforms; correlation methods; discrete wavelet transforms; equalisers; image colour analysis; image watermarking; median filters; principal component analysis; singular value decomposition; Gaussian noise; X-shearing; Y-shearing; affine transformation; attack; color component; color information; cropping; discrete wavelet transformed subband; histogram equalization; median filtering; normalized correlation coefficient; peak signal to noise ratio; principle component analysis; robust nonblind color image watermarking scheme; salt & pepper; sharpening; singular value decomposition; Color; Discrete wavelet transforms; Histograms; Image color analysis; PSNR; Robustness; Watermarking; Copyright protection; color watermarking; digital watermarking; discrete wavelet transform; principle component analysis; singular value decomposition;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485392