{"created":"2021-01-19T05:05:49.261516+00:00","id":7601,"links":{},"metadata":{"_buckets":{"deposit":"8e9cae8d-21fb-4611-b03c-c4703c5808a5"},"_deposit":{"created_by":155,"id":"7601","owner":"155","owners":[155],"owners_ext":{"displayname":"","email":"Zinmoetmoethtun10790@gmail.com","username":""},"pid":{"revision_id":0,"type":"depid","value":"7601"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00007601","sets":["1608151108672","1608151108672:1608152217135"]},"communities":["mmu"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"A Simple PSF Parameters Estimation Method for the De-blurring of Linear Motion Blurred Images Using Wiener Filter in OpenCV","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"To restore a motion blurred image to its near original form,\nthe motion parameters such as its blur length and blur\nangle must be properly estimated. In this paper, new\nalgorithms for motion parameters estimation are proposed\nusing a single degraded image. For motion direction\nestimation, this algorithm applies a method of direct\ndetection to the DFT central spectral line which is very\nsimple. For motion length estimation two methods are\nproposed, one by the detection of the DFT central\nspectral line width, and another one by the detection\nwithout rotation of the DFT spectrum."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"image deblurring, point spread function, psf, blur angle, blur  length, wiener filter"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_login","date":[{"dateType":"Available","dateValue":"2021-01-19"}],"displaytype":"preview","filename":"Dr. AKS Paper3.pdf","filesize":[{"value":"609 KB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://meral.edu.mm/record/7601/files/Dr. AKS Paper3.pdf"},"version_id":"3dcc80c9-e49a-4a3f-9acf-83dc2de7d15d"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"ICSAI 2012","subitem_c_date":"2012 – May – 19-21","subitem_conference_title":"The 2012 International Conference on Systems and  Informatics","subitem_place":"Yantai, China","subitem_website":"http://d.researchbib.com/d/emFHAGDHxlZQRlYay0qF5yMUHhL24"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Aung Kyaw Soe, Zhang Xianku"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Conference paper"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2012-12-01"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"Engineering Index (EI)"},"item_title":"A Simple PSF Parameters Estimation Method for the De-blurring of Linear Motion Blurred Images Using Wiener Filter in OpenCV","item_type_id":"21","owner":"155","path":["1608151108672","1608152217135"],"publish_date":"2021-01-19","publish_status":"0","recid":"7601","relation_version_is_last":true,"title":["A Simple PSF Parameters Estimation Method for the De-blurring of Linear Motion Blurred Images Using Wiener Filter in OpenCV"],"weko_creator_id":"155","weko_shared_id":-1},"updated":"2022-03-24T23:17:30.341245+00:00"}