{"_buckets": {"deposit": "33239eab-9a35-469f-8ebc-b12f61c1bf2e"}, "_deposit": {"id": "10225", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "10225"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00010225"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2006-10", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "337", "bibliographicPageStart": "334", "bibliographic_titles": [{"bibliographic_title": "IEEE 8th Workshop on Multimedia Signal Processing, 2006"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "In this paper, we propose a method that recovers a smooth high-resolution image from several blurred and roughly quantized low-resolution images. For compensation of the quantization effect we introduce a measurement of smoothness originally used for suppression of block noises in a JPEG compressed image [Schultz \u0026 Stevenson \u002794]. With a simple operator that approximates to the convex projection onto constraint set defined for each quantized image [Hasegawa et al.\u002705], we propose a method that minimizes these cost functions, which are smooth convex functions, over the intersection of all constraint sets, i.e. the set of all images satisfying all quantization constraints simultaneously, by using hybrid steepest descent method [Yamada \u0026 Ogura\u002704]. Finally in the numerical example we compare images derived by the proposed method, POCS based conventional method, and generalized proposed method minimizing smoothed total variation and energy of output of Laplacian.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/MMSP.2006.285325"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/12045"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright \u00a9 2006 IEEE. Reprinted from IEEE 8th Workshop on Multimedia Signal Processing, 2006. p.334-337. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University\u2019s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Hasegawa, Hiroshi"}], "nameIdentifiers": [{"nameIdentifier": "30967", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Ohtsuka, Toshinori"}], "nameIdentifiers": [{"nameIdentifier": "30968", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamada, Isao"}], "nameIdentifiers": [{"nameIdentifier": "30969", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Sakaniwa, Kohichi"}], "nameIdentifiers": [{"nameIdentifier": "30970", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "An_Edge-Preserving_Super-Precision.pdf", "filesize": [{"value": "685.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 685100.0, "url": {"label": "An_Edge-Preserving_Super-Precision.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/10225/files/An_Edge-Preserving_Super-Precision.pdf"}, "version_id": "4ea6703f-5582-4583-a690-b1dc02c7e0c7"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions"}]}, "item_type_id": "10", "owner": "1", "path": ["320/502/503"], "permalink_uri": "http://hdl.handle.net/2237/12045", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2009-08-19"}, "publish_date": "2009-08-19", "publish_status": "0", "recid": "10225", "relation": {}, "relation_version_is_last": true, "title": ["An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions"], "weko_shared_id": null}