Please use this identifier to cite or link to this item: https://doi.org/10.1109/TENCON.2008.4766571
Title: Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation
Authors: Yeung, C.W.
Ling, S.H. 
Chan, Y.H.
Leung, F.H.F.
Issue Date: 2008
Source: Yeung, C.W.,Ling, S.H.,Chan, Y.H.,Leung, F.H.F. (2008). Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation. IEEE Region 10 Annual International Conference, Proceedings/TENCON : -. ScholarBank@NUS Repository. https://doi.org/10.1109/TENCON.2008.4766571
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.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/71635
ISBN: 1424424089
DOI: 10.1109/TENCON.2008.4766571
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