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 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) |
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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) |
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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 |
6 |
Date of Issue |
2017-02-13 (ITS, IE) |
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