{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00102605","sets":["581:7397:7643"]},"path":["7643"],"owner":"11","recid":"102605","title":["High Density Impulse Noise Removal Based on the Total Observation Kernel Element for Image Sequences"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-08-15"},"_buckets":{"deposit":"fcc4f523-3b04-44f8-af10-a04799d2515a"},"_deposit":{"id":"102605","pid":{"type":"depid","value":"102605","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"High Density Impulse Noise Removal Based on the Total Observation Kernel Element for Image Sequences","author_link":["11316","11317","11318","11314","11319","11315"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"High Density Impulse Noise Removal Based on the Total Observation Kernel Element for Image Sequences"},{"subitem_title":"High Density Impulse Noise Removal Based on the Total Observation Kernel Element for Image Sequences","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[一般論文] impulse noise removal, image sequences, frames, PSNR, MSSIM","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2014-08-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University／Information Technology and Computer Science Program, Brawijaya University"},{"subitem_text_value":"Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University"},{"subitem_text_value":"Priority Organization for Innovation and Excellence, Kumamoto University"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University / Information Technology and Computer Science Program, Brawijaya University","subitem_text_language":"en"},{"subitem_text_value":"Computer Science and Electrical Engineering, Graduate School of Science and Technology, Kumamoto University","subitem_text_language":"en"},{"subitem_text_value":"Priority Organization for Innovation and Excellence, Kumamoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"publish_status":"0","weko_shared_id":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/102605/files/IPSJ-JNL5508026.pdf","label":"IPSJ-JNL5508026"},"date":[{"dateType":"Available","dateValue":"2016-08-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5508026.pdf","filesize":[{"value":"2.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"58c81aa8-a286-4d88-a622-f38c9b967ee8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Fitri, Utaminingrum"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keiichi, Uchimura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Gou, Koutaki"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Fitri, Utaminingrum","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keiichi, Uchimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Gou, Koutaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","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_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Several different methods for impulse noise removal in image sequences have been proposed. However, all of them are not successful in removing high density of impulse noise. Hence, this paper proposes a filtering method for reducing high density impulse noise in the image sequences. We use three windows with size 3 × 3 to obtain a new window with similar size. Three windows are taken from the next-frame, current frames and previous frames. The recursive window is applied in the current frames. The filtering process uses decision-based method. Meanwhile, a pixel for replacing the noisy pixel is calculated from a new window based on weighting method. Our experimental results show that the proposed method can not only reduce the high impulse noise in image sequences well, but also preserve more details and textures.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.4 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.679\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Several different methods for impulse noise removal in image sequences have been proposed. However, all of them are not successful in removing high density of impulse noise. Hence, this paper proposes a filtering method for reducing high density impulse noise in the image sequences. We use three windows with size 3 × 3 to obtain a new window with similar size. Three windows are taken from the next-frame, current frames and previous frames. The recursive window is applied in the current frames. The filtering process uses decision-based method. Meanwhile, a pixel for replacing the noisy pixel is calculated from a new window based on weighting method. Our experimental results show that the proposed method can not only reduce the high impulse noise in image sequences well, but also preserve more details and textures.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.22(2014) No.4 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.22.679\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2014-08-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"55"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:45:25.938733+00:00","created":"2025-01-18T23:47:51.587630+00:00","id":102605}