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Paper Abstract and Keywords
Presentation 2019-03-07 12:15
A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement
Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient colors.
With underlying assumption that speeded-up packages can be utilized, the proposed method employs the traditional K-means and the bicubic interpolation packages for color quantization and enlargement, respectively.
In the proposed method, an input full-color image is enlarged by the bicubic interpolation.
Then, the colors of the enlarged image are quantized by the K-means algorithm with considering local quantization errors between original and color-reduced images.
We have verified the effectiveness of the proposed method through the experimental results.
Keyword (in Japanese) (See Japanese page) 
(in English) Color Image Quantization / restricted-color image / image enlargement / infrequent salient colors / K-means method / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 473, SIS2018-51, pp. 75-80, March 2019.
Paper # SIS2018-51 
Date of Issue 2019-02-27 (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 SIS2018-51

Conference Information
Committee SIS  
Conference Date 2019-03-06 - 2019-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. Science, Katsushika Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2019-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement 
Sub Title (in English)  
Keyword(1) Color Image Quantization  
Keyword(2) restricted-color image  
Keyword(3) image enlargement  
Keyword(4) infrequent salient colors  
Keyword(5) K-means method  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yukiya Fukuda  
1st Author's Affiliation National Insitute of Technology, Ube College (NIT, UC)
2nd Author's Name Hideaki Misawa  
2nd Author's Affiliation National Insitute of Technology, Ube College (NIT, UC)
3rd Author's Name Hakaru Tamukoh  
3rd Author's Affiliation Kyusyu Institute of Technology (KIT)
4th Author's Name Ryosuke Kubota  
4th Author's Affiliation National Insitute of Technology, Ube College (NIT, UC)
5th Author's Name Byungki Cha  
5th Author's Affiliation Kyusyu Institute of Information Sciences (KIIT)
6th Author's Name Takashi Aso  
6th Author's Affiliation Kyusyu Institute of Information Sciences (KIIT)
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Speaker Author-1 
Date Time 2019-03-07 12:15:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2018-51 
Volume (vol) vol.118 
Number (no) no.473 
Page pp.75-80 
#Pages 6 
Date of Issue 2019-02-27 (SIS) 

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