{"id":3358,"date":"2016-03-08T09:24:08","date_gmt":"2016-03-08T01:24:08","guid":{"rendered":"http:\/\/people.utm.my\/haslinasarkan\/?page_id=3358"},"modified":"2017-11-06T14:27:34","modified_gmt":"2017-11-06T06:27:34","slug":"abstract-2","status":"publish","type":"page","link":"https:\/\/people.utm.my\/haslinasarkan\/abstract-2\/","title":{"rendered":"Abstract"},"content":{"rendered":"<p style=\"text-align: right\"><span style=\"color: #993366\"><strong>DOI: 10.1109\/CSPA.2016.7515828<\/strong><\/span><\/p>\n<h1><\/h1>\n<h4 style=\"text-align: center\">Single Image Super Resolution by No-Reference Image Quality Index Optimization in PCA subspace<\/h4>\n<p style=\"text-align: center\">Principal Component Analysis (PCA) has been effectively applied for solving atmospheric-turbulence degraded images. PCA-based approaches improve the image quality by adding high-frequency components extracted using PCA to the blurred image. The PCA-based restoration process is similar with conventional single-frame Super-Resolution (SR) methods, which perform SR process by improving the edges portion of low-resolution images. This paper aims to introduce PCA-based restoration to solve SR problem with additive white Gaussian noise. We conducted experiments using standard image database and show comparative result with the latest deep-learning SR approach.<\/p>\n<p style=\"text-align: center\">Index Terms\u2014Image Quality Assessment, Super Resolution, Single Image, Principal Component Analysis, Noise Robustness.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DOI: 10.1109\/CSPA.2016.7515828 Single Image Super Resolution by No-Reference Image Quality Index Optimization in PCA subspace Principal Component Analysis (PCA) has been effectively applied for solving atmospheric-turbulence degraded images. PCA-based approaches improve the image quality by adding high-frequency components extracted using PCA to the blurred image. The PCA-based restoration process is similar with conventional single-frame Super-Resolution [&hellip;]<\/p>\n","protected":false},"author":6477,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-3358","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/3358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/users\/6477"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/comments?post=3358"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/3358\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/media?parent=3358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}