On the Analysis of Global and Local Robust Image Watermarking Using Zernike Moments

Abstract

Digital Watermarking allows an individual to add some hidden copyright notices or other verification messages to digital media, where message is a group of bits describing the information pertaining to the signal or its author. For this purpose, two techniques viz. global watermarking and local watermarking can be used. In this paper, the performance of two feature based global and local watermarking techniques using Zernike Moments(ZMs) have been analyzed by evaluating their robustness against geometric, photometric and other signal processing attacks including rotation, cropping and noise. Experimental results have been provided in order to compare ZMs based global and local watermarking techniques for different types of attacks. Recommendations have been made based on the comparison of these techniques with other existing works.