Restoring halftoned color-quantized image with genetic algorithm

Ka Chun Lui; Yik Hing Fung; Yuk Hee Chan

Restoring halftoned color-quantized image with genetic algorithm

Ka Chun Lui, Yik Hing Fung, Yuk Hee Chan

The Hong Kong Polytechnic University

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

3 Citations (Scopus)

Abstract

Restoration of color quantized images is rarely addressed in the literature especially when the images are color quantized with halftoning. Conventional color image restoration algorithms are not suitable for handling this problem. A new restoration algorithm based on genetic algorithm is presented in this paper. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it was able to provide a very promising restoration result.

Original language	English
Title of host publication	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages	202-205
Number of pages	4
Publication status	Published - 1 Dec 2004
Event	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong Duration: 20 Oct 2004 → 22 Oct 2004

Conference

Conference	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/Territory	Hong Kong
City	Hong Kong, China
Period	20/10/04 → 22/10/04

ASJC Scopus subject areas

General Engineering

More information

http://hdl.handle.net/10397/1547

Cite this

@inproceedings{c8297fd0fa964185aa87f2c0fd4f1c2e,

title = "Restoring halftoned color-quantized image with genetic algorithm",

abstract = "Restoration of color quantized images is rarely addressed in the literature especially when the images are color quantized with halftoning. Conventional color image restoration algorithms are not suitable for handling this problem. A new restoration algorithm based on genetic algorithm is presented in this paper. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it was able to provide a very promising restoration result.",

author = "Lui, {Ka Chun} and Fung, {Yik Hing} and Chan, {Yuk Hee}",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780386884",

pages = "202--205",

booktitle = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004",

note = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 ; Conference date: 20-10-2004 Through 22-10-2004",

}

Lui, KC, Fung, YH & Chan, YH 2004, Restoring halftoned color-quantized image with genetic algorithm. in 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004. pp. 202-205, 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004, Hong Kong, China, Hong Kong, 20/10/04. <http://hdl.handle.net/10397/1547>

Restoring halftoned color-quantized image with genetic algorithm. / Lui, Ka Chun; Fung, Yik Hing; Chan, Yuk Hee.
2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004. 2004. p. 202-205.

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

TY - GEN

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AU - Lui, Ka Chun

AU - Fung, Yik Hing

AU - Chan, Yuk Hee

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Restoration of color quantized images is rarely addressed in the literature especially when the images are color quantized with halftoning. Conventional color image restoration algorithms are not suitable for handling this problem. A new restoration algorithm based on genetic algorithm is presented in this paper. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it was able to provide a very promising restoration result.

AB - Restoration of color quantized images is rarely addressed in the literature especially when the images are color quantized with halftoning. Conventional color image restoration algorithms are not suitable for handling this problem. A new restoration algorithm based on genetic algorithm is presented in this paper. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it was able to provide a very promising restoration result.

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M3 - Conference article published in proceeding or book

SN - 0780386884

SP - 202

EP - 205

BT - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

T2 - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Y2 - 20 October 2004 through 22 October 2004

ER -

Restoring halftoned color-quantized image with genetic algorithm

Abstract

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ASJC Scopus subject areas

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