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

アクセス数:25件（2025-01-03 10:56 集計）

固定URL: https://hdl.handle.net/11094/97804

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タイトル	Image Quality Improvement for Capsule Endoscopy Based on Compressed Sensing with K-SVD Dictionary Learning
著者	著者名 Harada, Yuuki
	NRID 1000090603332 1000090603332 researchmap permalink dkanemoto dkanemoto Scopus Author ID 6504308983 6504308983 著者名 Kanemoto, Daisuke
	NRID 1000030648184 1000030648184 researchmap permalink in0ue in0ue Scopus Author ID 55246263200 55246263200 著者名 Inoue, Takahiro
	NRID 1000040346177 1000040346177 researchmap permalink osamu_maida osamu_maida Scopus Author ID 6602733779 6602733779 著者名 Maida, Osamu
	NRID 1000070396315 1000070396315 researchmap permalink hirose_tetsuya hirose_tetsuya Scopus Author ID 9272478400 9272478400 著者名 Hirose, Tetsuya
キーワード等	capsule endoscopy
	compressed sensing
	high quality
	K-SVD
内容	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.
抄録	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.
出版者	電子情報通信学会
出版者	Institute of Electronics Information Communication Engineers
収録物名	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
巻(号)	E105A(4)
ページ	743-747
刊行年月	2022-04-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/97804
PISSN	09168508
eISSN	17451337
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1587/transfun.2021EAL2033
アクセス権	open access
権利情報	Copyright © 2022 The Institute of Electronics, Information and Communication Engineers
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
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	英語
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	英語
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

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