{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052427","sets":["1164:4619:4637:4642"]},"path":["4642"],"owner":"1","recid":"52427","title":["再構成型超解像処理の理論限界に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2005-01-21"},"_buckets":{"deposit":"3a99e4ae-94ad-43bb-9738-06e6992a3ac3"},"_deposit":{"id":"52427","pid":{"type":"depid","value":"52427","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"再構成型超解像処理の理論限界に関する検討","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"再構成型超解像処理の理論限界に関する検討"},{"subitem_title":"Theoretical Analysis about Limitations on Reconstruction-Based Super-Resolution","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2005-01-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学 大学院理工学研究科 機械制御システム専攻"},{"subitem_text_value":"東京工業大学 大学院理工学研究科 機械制御システム専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering 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/52427/files/IPSJ-CVIM04147019.pdf"},"date":[{"dateType":"Available","dateValue":"2007-01-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM04147019.pdf","filesize":[{"value":"535.3 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":"75183238-6ec9-4ebc-a2cf-d96e21a92937","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2005 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田中, 正行"},{"creatorName":"奥富, 正敏"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masayuki, TANAKA","creatorNameLang":"en"},{"creatorName":"Masatoshi, OKUTOMI","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，超解像の条件数定理を示す．条件数定理は，低解像度画像数が無限であると仮定したとき，任意のPSF(Point Spread Function)に関する超解像方程式の条件数の算出方法を導く定理である．条件数定理により算出される条件数を比較することにより，高解像度画像の低解像度画像に対する倍率MおよびPSFを設計することができる．また，本研究では，ML(Maximum Likelihood)法に関しての勾配制約も示す．勾配制約とは，PSFのパワースペクトラムがML法の評価関数の微分を制限するというものである．条件数定理と勾配制限は理論的に導かれる．具体的にBox型PSFとGaussian型PSFの解析を示し，また，合成画像を利用した実験によりその有効性を確認する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This study presents and proves a condition number theorem for super-resolution (SR). The SR condition number theorem provides the condition number for an arbitrary space-invariant point spread function (PSF) when using an infinite number of low resolution images. A gradient restriction is also derived for maximum likelihood (ML) method. The gradient restriction is presented as an inequality which shows that the power spectrum of the PSF suppresses the spatial frequency component of the gradient of ML cost function. A Box PSF and a Gaussian PSF are analyzed with the SR condition number theorem. Effects of the gradient restriction on super-resolution results are shown using synthetic images.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"154","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"147","bibliographicIssueDates":{"bibliographicIssueDate":"2005-01-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4(2004-CVIM-147)","bibliographicVolumeNumber":"2005"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":52427,"updated":"2025-01-22T06:47:40.685906+00:00","links":{},"created":"2025-01-18T23:16:45.467942+00:00"}