Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33047
Title: Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation
Authors: Yeung, CW
Ling, SH
Chan, YH 
Leung, FHF 
Keywords: Image colour analysis
Image restoration
Particle swarm optimisation
Wavelet transforms
Issue Date: 2008
Publisher: IEEE
Source: TENCON 2008-2008 IEEE Region 10 Conference : date: 19-21 Nov., 2008, Hyderabad, India, p. 1-6 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/33047
ISBN: 978-1-4244-2408-5
978-1-4244-2409-2 (E-ISBN)
DOI: 10.1109/TENCON.2008.4766571
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