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Paper Abstract and Keywords
Presentation 2020-03-05 13:30
A Proposal of Color Quantization Algorithm Based on Weighted Principle Component Analysis Using Saturation
Seiichi Kojima, Tomoki Kusunoki (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2019-40
Abstract (in Japanese) (See Japanese page) 
(in English) In a 24 bit full color image, there are about 16 millions possible colors. On the other hand, in a limited color image, the color of each pixel is selected from a color pallet which contains very few colors. The colors in a color pallet are called representative colors. A limited color image has smaller file size than a full color image. In order to generate limited color images with small file size, it is necessary to decrease the number of representative colors. However, colorful colors may disappear by reducing representative colors and the quality of the image may be severely degraded. In this report, we propose a color quantization method based on the wighted principle component analysis using saturation. In the proposed method, colorful colors are selected as representative colors preferentially by using saturation as weights. Through experiments, we verify the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) limited color image / color quantization / principle component analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 458, SIS2019-40, pp. 19-22, March 2020.
Paper # SIS2019-40 
Date of Issue 2020-02-27 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIS2019-40

Conference Information
Committee SIS  
Conference Date 2020-03-05 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Saitama Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2020-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Color Quantization Algorithm Based on Weighted Principle Component Analysis Using Saturation 
Sub Title (in English)  
Keyword(1) limited color image  
Keyword(2) color quantization  
Keyword(3) principle component analysis  
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1st Author's Name Seiichi Kojima  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Tomoki Kusunoki  
2nd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
3rd Author's Name Yoshiaki Ueda  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ.)
4th Author's Name Noriaki Suetake  
4th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
5th Author's Name Eiji Uchino  
5th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
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Speaker Author-1 
Date Time 2020-03-05 13:30:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2019-40 
Volume (vol) vol.119 
Number (no) no.458 
Page pp.19-22 
#Pages 4 
Date of Issue 2020-02-27 (SIS) 

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