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PSO Based Edge Keeping Suppression of Impulses in Digital Imagery

  • Jyotsna Kumar Mandal
  • Somnath Mukhopadhyay
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 132)

Abstract

This paper proposes an efficient switching median filter to restore digital images corrupted by high density of random valued impulse noises. The noise detection is performed using all neighbor directional weighted pixels in the 5 x 5 window. Arithmetic absolute differences and intensity of the center pixel is compared with other pixels in the test window to define a noisy pixel. To restore the noisy pixel variable window based median filtering has been done. Particle swarm optimization(PSO), a recent stochastic global optimization technique has been adopted to obtain best fitted parameters of the proposed detection and filtering operators. Simulation results, conducted on a variety of gray scale images clearly exhibit that the proposed operator obtains better results compared to existing directional weighted filters.

Keywords

Particle Swarm Optimization Impulse Noise Center Pixel Impulsive Noise Noise Density 
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

  • Jyotsna Kumar Mandal
    • 1
  • Somnath Mukhopadhyay
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of KalyaniKalyaniIndia

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