Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System


Salima Lalani, D. D. Doye, Journal of Information Processing Systems Vol. 13, No. 2, pp. 340-347, Apr. 2017  

https://doi.org/10.3745/JIPS.03.0067
Keywords: DWT, Fuzzy, SVD, watermarking
Fulltext:

Abstract

A watermark is a signal added to the original signal in order to preserve the copyright of the owner of the digital content. The basic challenge for designing a watermarking system is a dilemma between transparency and robustness. If we want a higher rate of transparency, there has to be a compromise in terms of its robustness and vice versa. Also, until now, watermarking is generalized, resulting in the need for a specialized algorithm to work for a specialized image processing application domain. Our proposed technique takes into consideration the image characteristics for watermark insertion and it optimizes transparency and robustness. It achieved a 99.98% retrieval efficiency for an image blurring attack and counterfeits other attacks. Our proposed technique counterfeits almost all of the image processing attacks.


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Cite this article
[APA Style]
Lalani, S. & Doye, D. (2017). Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System . Journal of Information Processing Systems, 13(2), 340-347. DOI: 10.3745/JIPS.03.0067.

[IEEE Style]
S. Lalani and D. D. Doye, "Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System ," Journal of Information Processing Systems, vol. 13, no. 2, pp. 340-347, 2017. DOI: 10.3745/JIPS.03.0067.

[ACM Style]
Salima Lalani and D. D. Doye. 2017. Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System . Journal of Information Processing Systems, 13, 2, (2017), 340-347. DOI: 10.3745/JIPS.03.0067.