{"created":"2023-05-15T12:35:40.823482+00:00","id":4688,"links":{},"metadata":{"_buckets":{"deposit":"f1811e7c-88aa-46a8-ac4e-0d545f51c71f"},"_deposit":{"created_by":3,"id":"4688","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"4688"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00004688","sets":["31"]},"author_link":["14867","8687","13168","14926","14925"],"item_10001_alternative_title_24":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"F-TPP:TPP Image Compression with Fuzzy Resoning"}]},"item_10001_biblio_info_28":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"353","bibliographicPageStart":"347","bibliographicVolumeNumber":"11","bibliographic_titles":[{"bibliographic_title":"日本ファジィ学会誌"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本論文では, 三角平面パッチ(Triangular Plane Patch)を用いた画像圧縮アルゴリズム(TPP圧縮法)に, ファジィ推論を取り入れたF-TPP圧縮法(TPP with Fuzzy reasoning)について述べる.TPP圧縮法はxy平面上のある正方領域(ブロック)内の輝度曲面を2枚の三角平面パッチによって近似する.その際, ブロックの4頂点のとる輝度値は, 原画像上において, 4頂点と同一座標に位置する画素のもつ輝度値をそのまま用いる.しかし, 一般に, そうした三角平面パッチは, 原画像の輝度曲面の近似に適切であるとはいえない.そこで, 本稿では, ブロック内の一定範囲に位置する画素の輝度値を考慮し, ファジィ推論によって, 三角平面パッチの4頂点がとるべき輝度値を調整し, 適切な三角平面パッチによって輝度曲面の近似を試みる.我々は, F-TPP圧縮法をワークステーション上に実装し, いくつかの実験を行なった.それらの実験において, F-TPP圧縮法は, TPP法に比べて圧縮率及び平均変形において, 優れた性能を示し, 本提案手法の有効性を示すことができた.In this paper, we propose an improvement of the digital image compression using Triangular Plane Patches(TPP method). TPP method uses two triangular plane patches to approximate original image's luminance curved surfaces of a block in xy-plane. Since triangular plane patches are constructed according to the original image's luminace values of 4 vertical pixels of the block, they could hardly be suitable ones. Addressing to this problem of TPP methods, we use fuzzy reasoning to adjust the luminance values of 4 vertical pixels of a block by considering the influnce of some other pixels in the block. In this way, we can derive suitable triangular plane patches for a block by using the adjusted 4 luminace values. Our method has been implemented and experiment results show that the performance of the F-TPP method is better than that of the TPP method.","subitem_description_type":"Other"}]},"item_10001_description_38":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{}],"names":[{"name":"Nakamura, Tsuyoshi"}]},{"nameIdentifiers":[{}],"names":[{"name":"Ito, Hidenori"}]}]},"item_10001_publisher_29":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本知能情報ファジィ学会"}]},"item_10001_source_id_30":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0915647X","subitem_source_identifier_type":"ISSN"}]},"item_10001_source_id_32":{"attribute_name":"書誌レコードID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AN10231506","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_33":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"何, 立風"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"王, 立松"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"巣, 宇燕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 剛士"},{"creatorName":"ナカムラ, ツヨシ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 英則"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-24"}],"displaytype":"detail","filename":"SOFT11_163.pdf","filesize":[{"value":"894.2 kB"}],"format":"application/pdf","license_note":"Copyright c 日本知能情報ファジィ学会","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文_fulltext","url":"https://nitech.repo.nii.ac.jp/record/4688/files/SOFT11_163.pdf"},"version_id":"d95ce0ad-bfc2-4a28-b24d-7f20f2f403d7"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"F-TPP:ファジィ推論を用いたTPP画像圧縮法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"F-TPP:ファジィ推論を用いたTPP画像圧縮法"}]},"item_type_id":"10001","owner":"3","path":["31"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-06-25"},"publish_date":"2013-06-25","publish_status":"0","recid":"4688","relation_version_is_last":true,"title":["F-TPP:ファジィ推論を用いたTPP画像圧縮法"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-05-15T14:54:33.263577+00:00"}