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

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

Ekta Walia, Shailja Sharma, Anu Suneja
Copyright: © 2014 |Volume: 4 |Issue: 1 |Pages: 14
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466653399|DOI: 10.4018/ijcvip.2014010105
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MLA

Walia, Ekta, et al. "On the Analysis of Global and Local Robust Image Watermarking Using Zernike Moments." IJCVIP vol.4, no.1 2014: pp.56-69. http://doi.org/10.4018/ijcvip.2014010105

APA

Walia, E., Sharma, S., & Suneja, A. (2014). On the Analysis of Global and Local Robust Image Watermarking Using Zernike Moments. International Journal of Computer Vision and Image Processing (IJCVIP), 4(1), 56-69. http://doi.org/10.4018/ijcvip.2014010105

Chicago

Walia, Ekta, Shailja Sharma, and Anu Suneja. "On the Analysis of Global and Local Robust Image Watermarking Using Zernike Moments," International Journal of Computer Vision and Image Processing (IJCVIP) 4, no.1: 56-69. http://doi.org/10.4018/ijcvip.2014010105

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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.

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