{"id":85777,"updated":"2025-01-21T18:01:07.610378+00:00","links":{},"created":"2025-01-18T23:37:19.955076+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00085777","sets":["1164:3616:6696:6881"]},"path":["6881"],"owner":"11","recid":"85777","title":["画像曲面のガウス曲率を用いたインパルス雑音検知手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-09-13"},"_buckets":{"deposit":"a979f79f-b749-4925-881c-7c7c982492bb"},"_deposit":{"id":"85777","pid":{"type":"depid","value":"85777","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"画像曲面のガウス曲率を用いたインパルス雑音検知手法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"画像曲面のガウス曲率を用いたインパルス雑音検知手法"},{"subitem_title":"Impulse Noise Detector Based on Gaussian Curvature of Image Surface","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2012-09-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川工科大学大学院情報工学専攻"},{"subitem_text_value":"神奈川工科大学大学院情報工学専攻"},{"subitem_text_value":"神奈川工科大学大学院情報工学専攻"},{"subitem_text_value":"神奈川工科大学大学院情報工学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Kanagawa Institute of technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Kanagawa Institute of technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Kanagawa Institute of technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Kanagawa 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/85777/files/IPSJ-AVM12078014.pdf"},"date":[{"dateType":"Available","dateValue":"2100-01-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM12078014.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f509b95d-5db2-4ddc-b686-06b2958d6caf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2012 by the Institute of Electronics, Information and Communication Engineers\nThis SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近木, 邦彦"},{"creatorName":"三浦, 翔"},{"creatorName":"辻, 裕之"},{"creatorName":"木村, 誠聡"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kunihiko, Chikaki","creatorNameLang":"en"},{"creatorName":"Sho, Miura","creatorNameLang":"en"},{"creatorName":"Hiroyuki, Tsuji","creatorNameLang":"en"},{"creatorName":"Tomoaki, Kimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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":"モノクロ画像を曲面とみなして求めたガウス曲率をもとに，インパルス雑音を精度よく検出する手法の提案を行った．インパルス雑音は画像曲面上，上に凸または下に凸の山と考えられることから，ガウス曲率を計算すると理論上は常に正の値を持つ．さらに，鋭いピークを持つ山であることから，曲率は非常に大きな値をとる傾向がある．提案法はこれらの性質を利用して，高精度にインパルスの検知を行うことが可能である．本稿では，シミュレーションによる従来法との比較により，提案法の有効性を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"A new impulse noise detection using Gaussian curvature is proposed. We have shown, through the experiments of constant-valued impulse detection, that our proposed method outperforms PWMAD, one of the most effective among various conventional methods.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2012-09-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"14","bibliographicVolumeNumber":"2012-AVM-78"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}