{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/robust-statistics-and-no-reference-image","title":"Robust statistics and no-reference image quality assessment in Curvelet domain","arxiv_id":"1902.03842","date":"2019-02-11","proceeding":null,"authors":["Ramon Giostri Campos","Evandro Ottoni Teatini Salles"],"abstract":"This paper uses robust statistics and curvelet transform to learn a\ngeneral-purpose no-reference (NR) image quality assessment (IQA) model. The new\napproach, here called M1, competes with the Curvelet Quality Assessment\nproposed in 2014 (Curvelet2014). The central idea is to use descriptors based\non robust statistics to extract features and predict the human opinion about\ndegraded images. To show the consistency of the method the model is tested with\n3 different datasets, LIVE IQA, TID2013 and CSIQ. To test evaluation, it is\nused the Wilcoxon test to verify the statistical significance of results and\npromote an accurate comparison between new model M1 and Curvelet2014. The\nresults show a gain when robust statistics are used as descriptor.","url_abs":"http://arxiv.org/abs/1902.03842v1","url_pdf":"http://arxiv.org/pdf/1902.03842v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"robust-statistics-and-no-reference-image","repo_url":"https://github.com/rgiostri/robustcurvelet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-quality-assessment","task_name":"Image Quality Assessment"},{"task_slug":"no-reference-image-quality-assessment","task_name":"No-Reference Image Quality Assessment"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}