Paper Abstract and Keywords |
Presentation |
2019-12-05 11:40
[Special Talk]
Representation of moving-image's sparsity and its applications to adaptive moving-image restoration Takahiro Saito (Kanagawa Univ.) CS2019-75 IE2019-55 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3-D mean-separation-type short-time DFT (3-D MS2T-DFT). Moreover, taking account of the probability distribution of additive noise, this talk addresses the problem how to construct shrinkage functions, which are used to remove effects of the noise in the 3-D MS2T-DFT domain selectively, as the Bayes LS estimators, and demonstrates that the adaptive application of the shrinkage functions leads to the accomplishment of the state-of-the-art moving-image restoration in the restoration tasks of color moving-image denoising, Poisson-Gaussian color moving-image restoration, and single-plate color-mosaicked moving-image restoration. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Brain Neuroscience / Sparse Coding / Statistical Modeling / Signal Restoration / Moving-Image Processing / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 324, IE2019-55, pp. 29-34, Dec. 2019. |
Paper # |
IE2019-55 |
Date of Issue |
2019-11-28 (CS, IE) |
ISSN |
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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CS2019-75 IE2019-55 |
Conference Information |
Committee |
IE CS IPSJ-AVM ITE-BCT |
Conference Date |
2019-12-05 - 2019-12-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Aiina Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image coding, Communications and streaming technologies, etc. |
Paper Information |
Registration To |
IE |
Conference Code |
2019-12-IE-CS-AVM-BCT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Representation of moving-image's sparsity and its applications to adaptive moving-image restoration |
Sub Title (in English) |
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Brain Neuroscience |
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Sparse Coding |
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Statistical Modeling |
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Signal Restoration |
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Moving-Image Processing |
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1st Author's Name |
Takahiro Saito |
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Kanagawa University (Kanagawa Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-12-05 11:40:00 |
Presentation Time |
60 minutes |
Registration for |
IE |
Paper # |
CS2019-75, IE2019-55 |
Volume (vol) |
vol.119 |
Number (no) |
no.323(CS), no.324(IE) |
Page |
pp.29-34 |
#Pages |
6 |
Date of Issue |
2019-11-28 (CS, IE) |
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