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Blur is detected from a single image without requiring any prior knowledge about the parametric blur kernel, the camera settings, or information about the input image. The proposed approach detects both motion and defocus blurred regions in partially blurred images. First, blur\u2010type classification is performed using Hough transform and the structured learning edge\u2010detection method. Second, the initial blur kernel is estimated with a kernel direction that maximises the likelihood of a local window being blurred by incorporating either vertical or positive diagonal kernels. Blur detection is implemented using a kernel\u2010specific feature. Third, initial blur image regions are refined with the support of the reduced edges image segmentation (CCP) method. Finally, neighbouring information is utilised to refine detected blur results. Comparative results reveal accuracy improvements in the image blur detection results at a reasonable execution time.<\/jats:p>","DOI":"10.1049\/iet-ipr.2018.5663","type":"journal-article","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T21:35:16Z","timestamp":1547760916000},"page":"746-753","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Spatially varying blur estimation from a single image"],"prefix":"10.1049","volume":"13","author":[{"given":"Shereen","family":"El\u2010Shekheby","sequence":"first","affiliation":[{"name":"Electrical Engineering Department, Faculty of Engineering Port Said University Port Fouad 42523 Port Said Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rehab F.","family":"Abdel\u2010Kader","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Faculty of Engineering Port Said University Port Fouad 42523 Port Said Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fayez W.","family":"Zaki","sequence":"additional","affiliation":[{"name":"Communications and Electronics Engineering Department, Faculty of Engineering Mansoura University Mansoura Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2019,3,19]]},"reference":[{"volume-title":"Image restoration fundamentals and advances","year":"2013","author":"Gunturk B.K.","key":"e_1_2_6_2_1"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_45"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2018.211"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2016.01.002"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2279316"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.009"},{"key":"e_1_2_6_8_1","first-page":"841","article-title":"Blind motion deblurring using image statistics","volume":"19","author":"Levin A.","year":"2007","journal-title":"Adv. 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