Comparative Analysis of Color Image Watermarking using DWT and DWT-SVD

Abstract: Rapid development in computer technology makes images, audio, text and video can be more easily reproduced, processed and stored in digital devices. Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image and documents. In this paper the concept of color image watermarking technique is performed (i.e., both Host Image and Watermark Image are color images), using DWT based algorithm and DWT-SVD based algorithm. The performance metrics Peak Signal-to-Noise Ratio (PSNR) and Normalized Correlation (NC) are analyzed. In addition to the above analysis a robustness check is performed in a watermarked color image with an application of various attacks (Salt- Pepper Noise Attacks, Rotation (Clockwise), Blurring, Image Sharpening and Gaussian Noise) to illustrate the efficiency of the above algorithm. Keywords: Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Normalized Correlation (NC).