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No\u2010reference blurred IQA methods have been proposed in the literature to calculate image blurriness. Inspired by image processing\u2010based auto\u2010focussing and maximum local information theories, a no\u2010reference blurred colourful IQA method based on Dual Maximum Local Information is proposed here. First, a window extraction method that combines the maximum gradient with local entropy is proposed to obtain the region of interest (ROI) for subsequent processing. Second, an improved maximum gradient method that leverages information from different channel images is presented to calculate the maximum gradient variation within the ROI for final sharpness score. Experimental results illustrated that the proposed method has better performance under various measurements compared with the state\u2010of\u2010the\u2010art methods on LIVE, CSIQ, TID2008, TID2013, VCL@FER, IVC image databases.<\/jats:p>","DOI":"10.1049\/sil2.12064","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T12:03:37Z","timestamp":1624622617000},"page":"597-611","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A no\u2010reference blurred colourful image quality assessment method based on dual maximum local information"],"prefix":"10.1049","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0799-2455","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"first","affiliation":[{"name":"School of Electronic, Electrical Engineering and Physics Fujian University of Technology  Fuzhou Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic, Electrical Engineering and Physics Fujian University of Technology  Fuzhou Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Electronic, Electrical Engineering and Physics Fujian University of Technology  Fuzhou Fujian China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"265","published-online":{"date-parts":[[2021,6,25]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2661858"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/905685"},{"key":"e_1_2_8_4_1","first-page":"1","article-title":"Objective image quality assessment: facing the real\u2010world challenges","author":"Wang Z.","year":"2016","journal-title":"IS&T International Symposium on Electronic Imaging"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2003.08.003"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2011760"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2131660"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2248711"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2931589"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2392129"},{"key":"e_1_2_8_11_1","unstructured":"F. 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