Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning

Harada, Yuuki; Kanemoto, Daisuke; Inoue, Takahiro; Maida, Osamu; Hirose, Tetsuya

doi:https://doi.org/10.1587/transfun.2021EAL2033

Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning

Harada, Yuuki; Kanemoto, Daisuke; Inoue, Takahiro et al.

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2022, E105A(4), 743-747

Number of Access:886（2025-08-14 01:27 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/97804

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Title	Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning
Creator	CreatorName Harada, Yuuki
	NRID 1000090603332 1000090603332 researchmap permalink dkanemoto dkanemoto Scopus Author ID 6504308983 6504308983 ORCID 0009-0002-7564-6351 0009-0002-7564-6351 CreatorName Kanemoto, Daisuke
	NRID 1000030648184 1000030648184 researchmap permalink in0ue in0ue Scopus Author ID 55246263200 55246263200 CreatorName Inoue, Takahiro
	NRID 1000040346177 1000040346177 researchmap permalink osamu_maida osamu_maida Scopus Author ID 6602733779 6602733779 CreatorName Maida, Osamu
	NRID 1000070396315 1000070396315 researchmap permalink hirose_tetsuya hirose_tetsuya Scopus Author ID 9272478400 9272478400 ORCID 0000-0003-1997-5097 0000-0003-1997-5097 CreatorName Hirose, Tetsuya
Subject	capsule endoscopy
	compressed sensing
	high quality
	K-SVD
Description	Harada Y., Kanemoto D., Inoue T., et al. Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E105.A, 743 (2022); https://doi.org/10.1587/transfun.2021EAL2033.
Abstract	Reducing the power consumption of capsule endoscopy is essential for its further development. We introduce K-SVD dictionary learning to design a dictionary for sparse coding, and improve reconstruction accuracy of capsule endoscopic images captured using compressed sensing. At a compression ratio of 20%, the proposed method improves image quality by approximately 4.4 dB for the peak signal-to-noise ratio.
Publisher	電子情報通信学会
Publisher	Institute of Electronics Information Communication Engineers
Source Title	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume (Issue)	E105A(4)
Page	743-747
Date of Issued	2022-04-01
Language	English
Handle URL	https://hdl.handle.net/11094/97804
PISSN	09168508
eISSN	17451337
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1587/transfun.2021EAL2033
Access Rights	open access
CopyRight	Copyright © 2022 The Institute of Electronics, Information and Communication Engineers
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCTERMS.bibliographicCitation	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2022, E105A(4), p. 743-747
DC.title	Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning
DC.creator	Harada, Yuuki
	Kanemoto, Daisuke
	Inoue, Takahiro
	Maida, Osamu
	Hirose, Tetsuya
DC.publisher	電子情報通信学会
DC.publisher	Institute of Electronics Information Communication Engineers
DC.language' scheme='DCTERMS.RFC1766	English
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2022-04-01
DC.identifier	https://doi.org/10.1587/transfun.2021EAL2033
DC.subject	capsule endoscopy
	compressed sensing
	high quality
	K-SVD
DC.description	Harada Y., Kanemoto D., Inoue T., et al. Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E105.A, 743 (2022); https://doi.org/10.1587/transfun.2021EAL2033.
DCTERMS.abstract	Reducing the power consumption of capsule endoscopy is essential for its further development. We introduce K-SVD dictionary learning to design a dictionary for sparse coding, and improve reconstruction accuracy of capsule endoscopic images captured using compressed sensing. At a compression ratio of 20%, the proposed method improves image quality by approximately 4.4 dB for the peak signal-to-noise ratio.
DC.rights	Copyright © 2022 The Institute of Electronics, Information and Communication Engineers
DC.format	97804
citation_title	Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning
citation_author	Harada, Yuuki
	Kanemoto, Daisuke
	Inoue, Takahiro
	Maida, Osamu
	Hirose, Tetsuya
citation_publisher	電子情報通信学会
citation_language	English
citation_date	2022-04-01
citation_journal_title	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
citation_volume	E105A
citation_issue	4
citation_firstpage	743
citation_lastpage	747
citation_doi	https://doi.org/10.1587/transfun.2021EAL2033
citation_public_url	https://hdl.handle.net/11094/97804

Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning

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