Literature Survey on Watermarking Schemes Using Optimization Techniques

Authors(3) :-Sachin Gupta, Priyanka Mitra, Brij Kishore

In the world of internet, trillions of bits of information and data are produced in every fraction of second. Thus transferring of the data over the internet needs to be protected from the intruders. Digital watermarking technique has emerged as an innovative technology to protect the data from imposters. This paper focuses different types of transform based approaches and optimization techniques used in digital watermarking. The paper reviews detailed study of particle swarm optimization and proposed methods by taking advantage of combining PSO with different watermarking schemes. The Robustness of the digital watermark implies how effective water marked image against various noise attacks. Thus it has been taken as important parameter for testing the robustness and this can be verified by evaluating NCC (Normalized Cross Correlation value) and PSNR (Peak Signal to Noise Ratio)

Authors and Affiliations

Sachin Gupta
Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India
Priyanka Mitra
Department of Computer Science & Engineering, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
Brij Kishore
Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India

Watermarking, Particle Swarm Optimization, Discrete Wavelet Transfrom, Discrete Cosine Tranform, Robustness

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Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 635-642
Manuscript Number : IJSRSET1734159
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sachin Gupta, Priyanka Mitra, Brij Kishore, " Literature Survey on Watermarking Schemes Using Optimization Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.635-642, July-August-2017.
Journal URL : http://ijsrset.com/IJSRSET1734159

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