{"id":302,"date":"2020-01-13T17:21:04","date_gmt":"2020-01-13T16:21:04","guid":{"rendered":"http:\/\/www.itec.aau.at\/~mt\/?p=302"},"modified":"2020-01-15T12:58:15","modified_gmt":"2020-01-15T11:58:15","slug":"deblurring-cataract-surgery-videos","status":"publish","type":"post","link":"http:\/\/www.itec.aau.at\/~mt\/2020\/01\/deblurring-cataract-surgery-videos\/","title":{"rendered":"Deblurring Cataract Surgery Videos"},"content":{"rendered":"\n<p>Our recent work on deblurring surgery videos has been accepted at the <a href=\"http:\/\/2020.biomedicalimaging.org\/\">ISBI 2020 conference<\/a>.<\/p>\n\n\n\n<p><strong>Title: <\/strong>Deblurring Cataract Surgery Videos Using a Multi-Scale       Deconvolutional Neural Network<\/p>\n\n\n\n<p><strong>Authors: <\/strong>Negin Ghamsarian, Klaus Schoeffmann, Mario Taschwer<\/p>\n\n\n\n<p><strong>Abstract: <\/strong>A common quality impairment observed in surgery videos is       blur, caused by object motion or a defocused camera. Degraded image quality hampers the progress of machine-learning-based approaches in learning and recognizing semantic information in surgical video frames       like instruments, phases, and surgical actions. This problem can be mitigated by automatically deblurring video frames as a preprocessing method for any subsequent video analysis task. In this paper, we propose and evaluate a multi-scale deconvolutional neural network to deblur       cataract surgery videos. Experimental results confirm the effectiveness of the proposed approach in terms of the visual quality of frames as well as PSNR improvement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our recent work on deblurring surgery videos has been accepted at the ISBI 2020 conference. Title: Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural Network Authors: Negin Ghamsarian, Klaus Schoeffmann, Mario Taschwer Abstract: A common quality impairment observed in surgery videos is blur, caused by object motion or a defocused camera. Degraded image quality [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-302","post","type-post","status-publish","format-standard","hentry","category-research"],"_links":{"self":[{"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/posts\/302","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/comments?post=302"}],"version-history":[{"count":3,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/posts\/302\/revisions"}],"predecessor-version":[{"id":306,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/posts\/302\/revisions\/306"}],"wp:attachment":[{"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/media?parent=302"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/categories?post=302"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.itec.aau.at\/~mt\/wp-json\/wp\/v2\/tags?post=302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}