A regularized constrained iterative restoration algorithm for restoring color-quantized images

Yuk Hee Chan; Yik Hing Fung

doi:10.1016/j.sigpro.2005.01.009

A regularized constrained iterative restoration algorithm for restoring color-quantized images

Yuk Hee Chan, Yik Hing Fung

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

6 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1375-1387
Number of pages	13
Journal	Signal Processing
Volume	85
Issue number	7
DOIs	https://doi.org/10.1016/j.sigpro.2005.01.009
Publication status	Published - 1 Jul 2005

Keywords

CIELAB
Color image processing
Color quantization
Constrained least square
Image restoration
Projection onto convex sets
Regularization

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

More information

10.1016/j.sigpro.2005.01.009

Cite this

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title = "A regularized constrained iterative restoration algorithm for restoring color-quantized images",

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.",

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AB - 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.

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KW - Color image processing

KW - Color quantization

KW - Constrained least square

KW - Image restoration

KW - Projection onto convex sets

KW - Regularization

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ER -

A regularized constrained iterative restoration algorithm for restoring color-quantized images

Abstract

Keywords

ASJC Scopus subject areas

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