Watermarking Techniques based on DCT and SVD using PSO
Kapil Kumar Singh1, Sandhya Tarar2

1Kapil Kumar Singh, Department of ICT, Gautam Buddha University, Greater Noida (Uttar Pradesh), India.
2Sandhya Tarar, Department of ICT, Gautam Buddha University, Greater Noida (Uttar Pradesh), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 10-15 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2559018319/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Digital watermarking is the most important technique in today’s world for hiding the secret information in a carrier image or cover and to avoid illegal copying of data. This technique can be applied to audio, video, text or images, the features and concepts pertaining to the various watermarking techniques using as DCT and SVD.Herein research paper we are providing a comparative analysis of all the above mention algorithms with Particle Swarm Optimization (PSO).The proposed scheme meets the objective as MSE, PSNR, SSIMand NCC. Finally, it has been concluded that all the proposed schemes are well efficient in watermarking in the still image data. All schemes are works really fast and hence suitable and real-time applications.
Keyword: Discrete Cosine Transform (DCT), Singular Values Decomposition (SVD), Particle Swarm Optimization (PSO).
Scope of the Article: Aspect-Based Software Engineering