PSO Based Lossless and Robust Image Watermarking using Integer Wavelet Transform

1
R. Surya Prakasa Rao
R. Surya Prakasa Rao
2
Dr. P. Rajesh Kumar
Dr. P. Rajesh Kumar
1 AU College of Engineering,

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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In recent days, the advances in the broadcasting of multimedia contents in digital format motivate to protect this digital multimedia content form illegal use, such as manipulation, duplication and redistribution. However, watermarking algorithms are designed to meet the requirements of different applications, because, various applications have various requirements. This paper intends to design a new watermarking algorithm with an aim of provision of a tradeoff between the robustness and imperceptibility and also to reduce the information loss. This approach applies Integer Wavelet Transform (IWT) instead of conventional floating point wavelet transforms which are having main drawback of round of error. Then the most popular artificial intelligence technique, particle swarm optimization (PSO) used for optimization of watermarking strength. The strength of watermarking technique is directly related to the watermarking constant alpha. The PSO optimizes alpha values such that, the proposed approach achieves better robustness over various attacks and an also efficient imperceptibility. Numerous experiments are conducted over the proposed approach to evaluate the performance. The obtained experimental results demonstrates that the proposed approach is superior compared to conventional approach and is able to provide efficient resistance over Gaussian noise, salt & pepper noise, median filtering, cropping, rotation, contrast enhancement, scaling and Histogram Equalization attacks.

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24 Cites in Articles

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

R. Surya Prakasa Rao. 2017. \u201cPSO Based Lossless and Robust Image Watermarking using Integer Wavelet Transform\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F1): .

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Issue Cover
GJCST Volume 17 Issue F1
Pg. 29- 39
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.2.2, I.3.3, I.4.0
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v1.2

Issue date

April 4, 2017

Language

English

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PSO Based Lossless and Robust Image Watermarking using Integer Wavelet Transform

R. Surya Prakasa Rao
R. Surya Prakasa Rao AU College of Engineering,
Dr. P. Rajesh Kumar
Dr. P. Rajesh Kumar

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