Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9208
Title: A regularized constrained iterative restoration algorithm for restoring color-quantized images
Authors: Chan, YH 
Fung, YH
Keywords: CIELAB
Color image processing
Color quantization
Constrained least square
Image restoration
Projection onto convex sets
Regularization
Issue Date: 2005
Publisher: Elsevier
Source: Signal processing, 2005, v. 85, no. 7, p. 1375-1387 How to cite?
Journal: Signal processing 
Abstract: 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.
URI: http://hdl.handle.net/10397/9208
ISSN: 0165-1684
EISSN: 1872-7557
DOI: 10.1016/j.sigpro.2005.01.009
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