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An Improved Watermarking Technique for Image Authentication.


Affiliations
1 Department of Electronics and Communication Engineering, Lovely Professional University, Phagwara - 144411, Punjab, India
 

Digital image watermarking is one of the best techniques available now a day to tackle the problems regarding digital image authentication and its security. There are lots of ways and methods and techniques for digital image watermarking. This paper tried to improvise one of those techniques and comes up with a better and improved way to digital image watermarking. In this paper combination of two techniques: - Discrete Wavelet Transform and Arnold Transform are merged together in such a way that the outcome provides best possible results for invisible watermarking. Via using the new technique similarity ratio of 0.892 and signal-to-noise ratio of 59.11 is achieved. Technique is also measured against some of the common attacks on digital image.

Keywords

Arnold Transform, Discrete Wavelet Transform (DWT), Image Authentication, Invisible Watermarking, Signal-to-Noise Ratio (SNR), Similarity Ratio (SR)
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  • An Improved Watermarking Technique for Image Authentication.

Abstract Views: 139  |  PDF Views: 0

Authors

Kausav Kumar
Department of Electronics and Communication Engineering, Lovely Professional University, Phagwara - 144411, Punjab, India
Vineet Kumar
Department of Electronics and Communication Engineering, Lovely Professional University, Phagwara - 144411, Punjab, India

Abstract


Digital image watermarking is one of the best techniques available now a day to tackle the problems regarding digital image authentication and its security. There are lots of ways and methods and techniques for digital image watermarking. This paper tried to improvise one of those techniques and comes up with a better and improved way to digital image watermarking. In this paper combination of two techniques: - Discrete Wavelet Transform and Arnold Transform are merged together in such a way that the outcome provides best possible results for invisible watermarking. Via using the new technique similarity ratio of 0.892 and signal-to-noise ratio of 59.11 is achieved. Technique is also measured against some of the common attacks on digital image.

Keywords


Arnold Transform, Discrete Wavelet Transform (DWT), Image Authentication, Invisible Watermarking, Signal-to-Noise Ratio (SNR), Similarity Ratio (SR)



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i48%2F140644