Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation

C. W. Yeung; S. H. Ling; Yuk Hee Chan; Hung Fat Frank Leung

doi:10.1109/TENCON.2008.4766571

Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation

C. W. Yeung, S. H. Ling, Yuk Hee Chan, Hung Fat Frank Leung

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	2008 IEEE Region 10 Conference, TENCON 2008
DOIs	https://doi.org/10.1109/TENCON.2008.4766571
Publication status	Published - 1 Dec 2008
Event	2008 IEEE Region 10 Conference, TENCON 2008 - Hyderabad, India Duration: 19 Nov 2008 → 21 Nov 2008

Conference

Conference	2008 IEEE Region 10 Conference, TENCON 2008
Country/Territory	India
City	Hyderabad
Period	19/11/08 → 21/11/08

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications

More information

10.1109/TENCON.2008.4766571

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title = "Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation",

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.",

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AU - Yeung, C. W.

AU - Ling, S. H.

AU - Chan, Yuk Hee

AU - Leung, Hung Fat Frank

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N2 - 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.

AB - 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.

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DO - 10.1109/TENCON.2008.4766571

M3 - Conference article published in proceeding or book

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SN - 9781424424085

BT - 2008 IEEE Region 10 Conference, TENCON 2008

T2 - 2008 IEEE Region 10 Conference, TENCON 2008

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ER -

Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation

Abstract

Conference

ASJC Scopus subject areas

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