Paper Abstract and Keywords |
Presentation |
2008-03-11 09:20
() IE2007-307 PRMU2007-291 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents a framework for granular noise reduction using Graph Cuts. Graph-cut algorithm is a discrete optimization method, which is widely used for noise reduction, image segmentation, image stitching, and so on. This algorithm can also be applied to reducing the granular noise, which is essentially the non-uniform photo-sensor sensitivity enhanced by amplification of dark image signal. However, standard graph-cut algorithm will produce excessive smoothing that removes object textures or insufficient smoothing for removing noise. This is because the energy function consisting of data term and smoothing term is uniformly evaluated. We introduce spatially varying weight of smoothing energy term for realizing “edge preserving smoothing”. We compared the images produced by proposed method with different weight functions, edge preserving smoothing, and bilateral filter, and found that proposed method with edge based weight function produces the best value of the normalized correlation with the ground truth. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Graph Cuts / Granular Noise / Noise Reduction / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 539, PRMU2007-291, pp. 289-296, March 2008. |
Paper # |
PRMU2007-291 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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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IE2007-307 PRMU2007-291 |
Conference Information |
Committee |
PRMU IE |
Conference Date |
2008-03-10 - 2008-03-11 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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JAIST |
Paper Information |
Registration To |
PRMU |
Conference Code |
2008-03-PRMU-IE |
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Japanese |
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(See Japanese page) |
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Keyword(1) |
Graph Cuts |
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Granular Noise |
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Noise Reduction |
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1st Author's Name |
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Wakayama University (Wakayama Univ.) |
2nd Author's Name |
Toshikazu Wada |
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Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-03-11 09:20:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
IE2007-307, PRMU2007-291 |
Volume (vol) |
vol.107 |
Number (no) |
no.538(IE), no.539(PRMU) |
Page |
pp.289-296 |
#Pages |
8 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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