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A regularized constrained iterative restoration algorithm for restoring color-quantized images
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DOI：10.1016/j.sigpro.2005.01.009.png)
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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. (c) 2005 Elsevier B.V. All rights reserved.
Keyword:
image restoration
color image processing
color quantization
regularization
projection onto convex sets
constrained least square.
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