{"created":"2023-06-20T15:14:13.507973+00:00","id":11351,"links":{},"metadata":{"_buckets":{"deposit":"4ea71d90-1d91-4753-b8fd-38600ccf6311"},"_deposit":{"created_by":3,"id":"11351","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"11351"},"status":"published"},"_oai":{"id":"oai:ynu.repo.nii.ac.jp:00011351","sets":["495:496"]},"author_link":["39939","35444","39940"],"item_2_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"562","bibliographicPageStart":"550","bibliographicVolumeNumber":"E104.A","bibliographic_titles":[{"bibliographic_title":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We propose an iterative single-image haze-removal method that first divides images with haze into regions in which haze-removal processing is difficult and then estimates the ambient light. The existing method has a problem wherein it often overestimates the amount of haze in regions where there is a large distance between the location the photograph was taken and the subject of the photograph; this problem prevents the ambient light from being estimated accurately. In particular, it is often difficult to accurately estimate the ambient light of images containing white and sky regions. Processing those regions in the same way as other regions has detrimental results, such as darkness or unnecessary color change. The proposed method divides such regions in advance into multiple small regions, and then, the ambient light is estimated from the small regions in which haze removal is easy to process. We evaluated the proposed method through some simulations, and found that the method achieves better haze reduction accuracy even than the state-of-the art methods based on deep learning.","subitem_description_type":"Abstract"}]},"item_2_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Copyright(C)2021 IEICE","subitem_description_type":"Other"}]},"item_2_publisher_35":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEICE"}]},"item_2_relation_13":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.1587/transfun.2020EAP1038","subitem_relation_type_select":"DOI"}}]},"item_2_relation_44":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://doi.org/10.1587/transfun.2020EAP1038"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1587/transfun.2020EAP1038","subitem_relation_type_select":"DOI"}}]},"item_2_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1745-1337","subitem_source_identifier_type":"ISSN"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"},{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"},{"subitem_text_value":"Department of Electrical and Computer Engineering, Yokohama National University"}]},"item_2_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Araki, Yuji"}],"nameIdentifiers":[{"nameIdentifier":"39939","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mita, Kentaro"}],"nameIdentifiers":[{"nameIdentifier":"39940","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ichige, Koichi"}],"nameIdentifiers":[{"nameIdentifier":"35444","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"10313470","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=10313470"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-07-13"}],"displaytype":"detail","filename":"e104-a_2_550.pdf","filesize":[{"value":"31.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"e104-a_2_550.pdf","url":"https://ynu.repo.nii.ac.jp/record/11351/files/e104-a_2_550.pdf"},"version_id":"12d20849-476f-4844-b8ef-b94469bbf017"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"haze removal","subitem_subject_scheme":"Other"},{"subitem_subject":"dark channel","subitem_subject_scheme":"Other"},{"subitem_subject":"HSV color space","subitem_subject_scheme":"Other"},{"subitem_subject":"region segmentation","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Single Image Haze Removal Using Iterative Ambient Light Estimation with Region Segmentation","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Single Image Haze Removal Using Iterative Ambient Light Estimation with Region Segmentation"}]},"item_type_id":"2","owner":"3","path":["496"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-07-13"},"publish_date":"2021-07-13","publish_status":"0","recid":"11351","relation_version_is_last":true,"title":["Single Image Haze Removal Using Iterative Ambient Light Estimation with Region Segmentation"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-06-20T17:59:20.831885+00:00"}