Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26464
Title: A simulated annealing restoration algorithm for restoring halftoned color-quantized images
Authors: Fung, YH
Chan, YH 
Keywords: Color-quantization
Halftoning
Image restoration
Simulated annealing
Issue Date: 2006
Publisher: Elsevier
Source: Signal processing. Image communication, 2006, v. 21, no. 4, p. 280-292 How to cite?
Journal: Signal processing. Image communication 
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 simulated annealing 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 halftoned color-quantized image remarkably in terms of both SNR and CIELAB color difference metric. The subjective quality of the restored images can also be improved.
URI: http://hdl.handle.net/10397/26464
ISSN: 0923-5965
DOI: 10.1016/j.image.2005.11.003
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