{"corpus_id":497740,"paper_sha":"0f77793a43e795402afdbacd3f0aa1d89880a937","doi":"10.1109/TIP.2011.2147325","arxiv_id":null,"pmid":21521667,"pmcid":null,"mag_id":2129644086,"dblp_id":"journals/tip/MoorthyB11","acl_id":null,"title":"Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality","year":2011,"publication_date":"2011-12-01","venue":"IEEE Transactions on Image Processing","journal":{"name":"IEEE Transactions on Image Processing","pages":"3350-3364","volume":"20"},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle"],"pubmed_pub_types":["Journal Article","Research Support, Non-U.S. Gov't","Research Support, U.S. Gov't, Non-P.H.S."],"s2_fields_of_study":["Medicine","Computer Science"],"reference_count":69,"citation_count":1708,"influential_citation_count":241,"is_open_access":false,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":5,"s2_open_access_pdf_url":null,"s2_open_access_landing_url":null,"s2_open_access_license":null,"s2_open_access_status":null,"pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"Our approach to blind image quality assessment (IQA) is based on the hypothesis that natural scenes possess certain statistical properties which are altered in the presence of distortion, rendering them un-natural; and that by characterizing this un-naturalness using scene statistics, one can identify the distortion afflicting the image and perform no-reference (NR) IQA. Based on this theory, we propose an (NR)/blind algorithm-the Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) index-that assesses the quality of a distorted image without need for a reference image. DIIVINE is based on a 2-stage framework involving distortion identification followed by distortion-specific quality assessment. DIIVINE is capable of assessing the quality of a distorted image across multiple distortion categories, as against most NR IQA algorithms that are distortion-specific in nature. DIIVINE is based on natural scene statistics which govern the behavior of natural images. In this paper, we detail the principles underlying DIIVINE, the statistical features extracted and their relevance to perception and thoroughly evaluate the algorithm on the popular LIVE IQA database. Further, we compare the performance of DIIVINE against leading full-reference (FR) IQA algorithms and demonstrate that DIIVINE is statistically superior to the often used measure of peak signal-to-noise ratio (PSNR) and statistically equivalent to the popular structural similarity index (SSIM). A software release of DIIVINE has been made available online: \"http://live.ece.utexas.edu/research/quality/DIIVINE_release.zip\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">http://live.ece.utexas.edu/research/quality/DIIVINE_release.zip for public use and evaluation.","claims":[{"public_id":"cl_d854501de9f92f451bf71e9de65340de","status":"active","text":"A two-stage framework of distortion identification followed by distortion-specific quality assessment underlies DIIVINE.","confidence":0.97,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_d854501de9f92f451bf71e9de65340de"},{"public_id":"cl_c024d152ed9c5f04ec3142ca80863e06","status":"active","text":"DIIVINE can assess distorted images across multiple distortion categories, unlike most no-reference image quality assessment algorithms that are 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image.","confidence":0.95,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_3c881b7dd4ed3c74d9a1818f7bbf5972"},{"public_id":"cl_404154ca1b4a5ba59e5a398c76b25b53","status":"active","text":"On the LIVE IQA database, DIIVINE is statistically superior to peak signal-to-noise ratio and statistically equivalent to the structural similarity index.","confidence":0.99,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_404154ca1b4a5ba59e5a398c76b25b53"}],"concepts":[{"public_id":"co_0c5cf6aa89bf98eed24f5911ec575a0c","status":"active","name":"distortion identification","description":"The step of determining which distortion type affects an image.","types":["processing 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