Paper Abstract and Keywords |
Presentation |
2017-10-06 09:20
Compressive Sensing and Recovery of Binary Images Based on DCT Yusuke Zaitsu, Koichi Ichige (YNU) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we present a method of compressive sensing and recovery of binary images based on Discrete Cosine Transform (DCT). Conventional method based on Hadamard transform well recovers a given binary image, but image accuracy gets worse in the case of small number of input information or complex input images. We develop a novel method by replacing the Hadamard transformation matrix by DCT matrix, and evaluate its image recovery accuracy in
comparison with the conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressive Sensing / Binary image / Discrete cosine transform / Hadamard transform / / / / |
Reference Info. |
ITE Tech. Rep., vol. 41, no. 33, ME2017-111, pp. 87-92, Oct. 2017. |
Paper # |
ME2017-111 |
Date of Issue |
2017-09-29 (ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME AIT IEICE-IE |
Conference Date |
2017-10-05 - 2017-10-06 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2017-10-ME-AIT-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Compressive Sensing and Recovery of Binary Images Based on DCT |
Sub Title (in English) |
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Keyword(1) |
Compressive Sensing |
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Binary image |
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Discrete cosine transform |
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Hadamard transform |
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1st Author's Name |
Yusuke Zaitsu |
1st Author's Affiliation |
Yokohama National University (YNU) |
2nd Author's Name |
Koichi Ichige |
2nd Author's Affiliation |
Yokohama National University (YNU) |
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Speaker |
Author-1 |
Date Time |
2017-10-06 09:20:00 |
Presentation Time |
25 minutes |
Registration for |
ME |
Paper # |
ME2017-111, AIT2017-170 |
Volume (vol) |
vol.41 |
Number (no) |
no.33 |
Page |
pp.87-92 |
#Pages |
6 |
Date of Issue |
2017-09-29 (ME, AIT) |