A regularized constrained iterative restoration algorithm for restoring color-quantized images

Yuk Hee Chan, Yik Hing Fung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


This paper studies the restoration of color-quantized images. Restoration of color-quantized images is rarely addressed in literature, and direct applications of existing restoration techniques are generally inadequate to deal with this problem. In this paper, we propose a restoration algorithm for restoring color-quantized images. This algorithm makes good use of the available color palette to derive useful a priori information for restoration. Simulation results show that it can improve the quality of a color-quantized image remarkably in terms of both SNR and CIELAB color difference metric. Its performance is obviously better than that of other conventional algorithms in the simulation.
Original languageEnglish
Pages (from-to)1375-1387
Number of pages13
JournalSignal Processing
Issue number7
Publication statusPublished - 1 Jul 2005


  • Color image processing
  • Color quantization
  • Constrained least square
  • Image restoration
  • Projection onto convex sets
  • Regularization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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