Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation

C. W. Yeung, S. H. Ling, Yuk Hee Chan, Hung Fat Frank Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)


Restoration of color-quantized images is rarely addressed in the literature, especially when the images are color-quantized with halftoning. Most existing restoration algorithms are generally inadequate to deal with this problem as they were proposed for restoring noisy blurred images. In this paper, a restoration algorithm based on Particle Swarm Optimization with wavelet mutation (WPSO) is proposed to solve the problem. This algorithm makes a good use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results show that it can improve the quality of a half-toned color-quantized image remarkably in terms of both SNRI and convergence rate. The subjective quality of the restored images can also be improved.
Original languageEnglish
Title of host publication2008 IEEE Region 10 Conference, TENCON 2008
Publication statusPublished - 1 Dec 2008
Event2008 IEEE Region 10 Conference, TENCON 2008 - Hyderabad, India
Duration: 19 Nov 200821 Nov 2008


Conference2008 IEEE Region 10 Conference, TENCON 2008

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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