{"created":"2025-01-18T22:50:51.103094+00:00","updated":"2025-01-22T23:01:55.145107+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00018002","sets":["934:1085:1096:1099"]},"path":["1099"],"owner":"1","recid":"18002","title":["直線的手ぶれ画像復元のためのPSFパラメータ推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-06-15"},"_buckets":{"deposit":"662487bf-031f-4f62-adb9-8b2777e9255b"},"_deposit":{"id":"18002","pid":{"type":"depid","value":"18002","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"直線的手ぶれ画像復元のためのPSFパラメータ推定手法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"直線的手ぶれ画像復元のためのPSFパラメータ推定手法"},{"subitem_title":"PSF Parameter Estimation for Restoration of Linear Motion Blurred Image","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ノート（推薦）","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2006-06-15","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学"},{"subitem_text_value":"東京工業大学"},{"subitem_text_value":"東京工業大学"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/18002/files/IPSJ-TCVIM4709011.pdf"},"date":[{"dateType":"Available","dateValue":"2008-06-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCVIM4709011.pdf","filesize":[{"value":"587.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"faf3cee4-f91d-411e-9696-a2fb799763b2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2006 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"米司健一"},{"creatorName":"田中, 正行"},{"creatorName":"奥富, 正敏"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kenichi, Yoneji","creatorNameLang":"en"},{"creatorName":"Masayuki, Tanaka","creatorNameLang":"en"},{"creatorName":"Masatoshi, Okutomi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11560603","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7810","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像撮影時の手ぶれや，対象が動くことによって画像にぶれが生じる．このぶれを等速直線運動で近似すると，ぶれを表すPSF（Point Spread Function）はぶれの幅と方向の2つのパラメータで表現することができる．劣化画像の振幅スペクトルは，PSFの方向に，PSFの幅によって決まる周期で0となる性質を持つ．そのとき，この劣化画像の振幅スペクトルの周期性と方向性を検出することによって，PSFパラメータの幅と方向を推定する．本論文では原画像の周波数特性によらず，劣化画像の振幅スペクトルの周期性と方向性をロバストに検出する手法を提案する．また，実画像実験を通して，提案手法の効果を示す．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"An image is blurred by camera shake or moving object. That degradation can be expressed by using PSF (Point Spread Function). The PSF has two parameters of width and the angle, approximating the motion is uniform. An amplitude spectrum of blurred image has a feature based on PSF parameters. PSF parameters can estimate from this feature. This paper presents a new method to estimate PSF parameters from the amplitude spectrum of blurred image. The effect of the proposed method is confirmed by experiments.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"110","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"107","bibliographicIssueDates":{"bibliographicIssueDate":"2006-06-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"SIG9(CVIM14)","bibliographicVolumeNumber":"47"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":18002,"links":{}}