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The Way of Improving PSO Performance: Medical Imaging Watermarking Case Study

  • Mona M. Soliman
  • Aboul Ella Hassanien
  • Hoda M. Onsi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)

Abstract

Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are population based heuristic search techniques which can be used to solve the optimization problems modeled on the concept of evolutionary approach. In this paper we incorporate PSO with GA in hybrid technique called GPSO. This paper proposes the use of GPSO in designing an adaptive medical watermarking algorithm. Such algorithm aim to enhance the security, confidentiality , and integrity of medical images transmitted through the Internet. The experimental results show that the proposed algorithm yields a watermark which is invisible to human eyes and is robust against a wide variety of common attacks.

Keywords

Genetic Algorithm Particle Swarm Optimization Image Watermark Watermark Scheme Host Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mona M. Soliman
    • 1
  • Aboul Ella Hassanien
    • 1
  • Hoda M. Onsi
    • 1
  1. 1.Faculty of Computers and InformationCairo University, Scientific Research Group in Egypt (SRGE)CairoEgypt

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