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Paper Abstract and Keywords
Presentation 2017-02-21 14:00
Estimation of Intensity of Random Noise for Improvement of Surface Texture in Small Area of the Natural Image
Yudai Ishikawa, Masashi Kameda (Iwate Pre. Univ.) ITS2016-56 IE2016-114
Abstract (in Japanese) (See Japanese page) 
(in English) It was reported that Random noise is effective to improve the surface texture. When the impression of surface texture changes by adding random noise, we need to estimate the appropriate noise intensity for the improvement of surface texture. In our study, we have focused on the fractal dimension as the feature quantity to estimate the noise intensity. In this paper, we propose an estimation measure the appropriate noise intensity based on fractal dimension, and attempt to apply to natural images. It is seen in our experimental results using some texture images that the fractal dimension increases steeply when the noise intensity is small, and the amount of change of the fractal dimension is smaller according to the noise intensity is large. As the results, the appropriate noise intensity for the improvement of surface texture can be obtained using difference of fractal dimension. In order to apply to natural images, we expanded the proposed measure to estimate noise intensity in small area of natural images.
Keyword (in Japanese) (See Japanese page) 
(in English) Surface Texture / Image Evaluation / Random Noise / Fractal Dimension / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 464, IE2016-114, pp. 269-274, Feb. 2017.
Paper # IE2016-114 
Date of Issue 2017-02-13 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 ITS2016-56 IE2016-114

Conference Information
Committee IE ITS ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE  
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2017-02-IE-ITS-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of Intensity of Random Noise for Improvement of Surface Texture in Small Area of the Natural Image 
Sub Title (in English)  
Keyword(1) Surface Texture  
Keyword(2) Image Evaluation  
Keyword(3) Random Noise  
Keyword(4) Fractal Dimension  
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1st Author's Name Yudai Ishikawa  
1st Author's Affiliation Iwate Prefectural University (Iwate Pre. Univ.)
2nd Author's Name Masashi Kameda  
2nd Author's Affiliation Iwate Prefectural University (Iwate Pre. Univ.)
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Speaker Author-1 
Date Time 2017-02-21 14:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2016-56, IE2016-114 
Volume (vol) vol.116 
Number (no) no.463(ITS), no.464(IE) 
Page pp.269-274 
#Pages
Date of Issue 2017-02-13 (ITS, IE) 


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