Paper Abstract and Keywords |
Presentation |
2020-02-08 12:15
Extension of blind image restoration using sparse optimization to multispectral images Dan Suto, Yoshitaka Izumi, Souta Kawakami, Hiroyuki Kudo (Tsukuba Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Blind image restoration is a method of restoring a clear image only from an image that has deteriorated due to defocus or camera shake during shooting. In 2013, Ahmed et al. Proposed a blind image restoration by convex optimization, which enabled stable restoration independent of initial values. However, blind image restoration is known as a poor setting problem because the number of observations is insufficient for the unknowns to be obtained. In this research, we introduce a new restoration method that does not use foresight information such as regularization terms from a single image by reducing the amount of unknown information by using the information amount constraint between channels of multispectral images. Experiments using multispectral images are also performed to prove the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Blind deconvolution / Sparse optimization / Multispectral images / Low-rank approximation / / / / |
Reference Info. |
ITE Tech. Rep., vol. 44, no. 4, ME2020-8, pp. 23-26, Feb. 2020. |
Paper # |
ME2020-8 |
Date of Issue |
2020-02-01 (ME) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME |
Conference Date |
2020-02-08 - 2020-02-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kanto Gakuin University |
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(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2020-02-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extension of blind image restoration using sparse optimization to multispectral images |
Sub Title (in English) |
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Keyword(1) |
Blind deconvolution |
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Sparse optimization |
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Multispectral images |
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Low-rank approximation |
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1st Author's Name |
Dan Suto |
1st Author's Affiliation |
Tsukuba University (Tsukuba Univ.) |
2nd Author's Name |
Yoshitaka Izumi |
2nd Author's Affiliation |
Tsukuba University (Tsukuba Univ.) |
3rd Author's Name |
Souta Kawakami |
3rd Author's Affiliation |
Tsukuba University (Tsukuba Univ.) |
4th Author's Name |
Hiroyuki Kudo |
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Tsukuba University (Tsukuba Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-02-08 12:15:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
ME2020-8 |
Volume (vol) |
vol.44 |
Number (no) |
no.4 |
Page |
pp.23-26 |
#Pages |
4 |
Date of Issue |
2020-02-01 (ME) |