Perturbed-attractor particle swarm optimization for image restoration

Deepak Devicharan, Kishan G. Mehrotra, Chilukuri K. Mohan, Pramod K. Varshney

Research output: Chapter in Book/Entry/PoemChapter


This chapter addresses the problem of restoration of images degraded by blurring and noise. Image degradation is modeled as the convolution of a low-pass, twodimensional point spread function with a reference or undegraded image. The image restoration problem is modeled as an optimization problem and a modified particle swarm optimization algorithm is developed. This approach is evaluated using image quality metrics that consider the quality of edges restored as well as the fidelity of the restored image with respect to the undegraded reference image. A novel-edge sharpness metric is also proposed. The new approach is shown to perform well in several image restoration examples.

Original languageEnglish (US)
Title of host publicationSwarm Intelligence - Volume 3
Subtitle of host publicationApplications
PublisherInstitution of Engineering and Technology
Number of pages20
ISBN (Electronic)9781785616310
StatePublished - Jan 1 2018


  • Image restoration
  • Optical transfer function
  • Particle swarm optimisation

ASJC Scopus subject areas

  • General Computer Science
  • General Physics and Astronomy


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