{"id":"https://openalex.org/W2108081460","doi":"https://doi.org/10.1109/tip.2011.2169971","title":"Image Quality Assessment by Visual Gradient Similarity","display_name":"Image Quality Assessment by Visual Gradient Similarity","publication_year":2011,"publication_date":"2011-10-05","ids":{"openalex":"https://openalex.org/W2108081460","doi":"https://doi.org/10.1109/tip.2011.2169971","mag":"2108081460","pmid":"https://pubmed.ncbi.nlm.nih.gov/21965204"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2169971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2169971","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053292774","display_name":"Jieying Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieying Zhu","raw_affiliation_strings":["College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. zhujieying7801@163.com","College of Computer Science and Technology , Huazhong University of Science and Technology , Wuhan , China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. zhujieying7801@163.com","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"College of Computer Science and Technology , Huazhong University of Science and Technology , Wuhan , China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115695259","display_name":"Nengchao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengchao Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China","Sch. of Math. & Stat., Huazhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Sch. of Math. & Stat., Huazhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053292774"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":4.6361,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.95830963,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"21","issue":"3","first_page":"919","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7918403744697571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795291900634766},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6497053503990173},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5997811555862427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5984331965446472},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.591727614402771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.473995566368103},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47021201252937317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4398382902145386},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4114949107170105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3823574185371399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31282803416252136},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.1637684404850006},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.15403980016708374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08145591616630554}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7918403744697571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795291900634766},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6497053503990173},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5997811555862427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5984331965446472},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.591727614402771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.473995566368103},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47021201252937317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4398382902145386},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4114949107170105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3823574185371399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31282803416252136},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.1637684404850006},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.15403980016708374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08145591616630554},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2011.2169971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2169971","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:21965204","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21965204","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1643630418","https://openalex.org/W1972348417","https://openalex.org/W1986002354","https://openalex.org/W1987125655","https://openalex.org/W1990873664","https://openalex.org/W1990977013","https://openalex.org/W2004284675","https://openalex.org/W2005635958","https://openalex.org/W2005664438","https://openalex.org/W2008821467","https://openalex.org/W2009272644","https://openalex.org/W2019206873","https://openalex.org/W2031237419","https://openalex.org/W2034252197","https://openalex.org/W2042925414","https://openalex.org/W2046119925","https://openalex.org/W2087698958","https://openalex.org/W2091845943","https://openalex.org/W2091978562","https://openalex.org/W2096226138","https://openalex.org/W2102410542","https://openalex.org/W2103232506","https://openalex.org/W2103504761","https://openalex.org/W2105143518","https://openalex.org/W2107626382","https://openalex.org/W2114582993","https://openalex.org/W2117952021","https://openalex.org/W2119614848","https://openalex.org/W2122676258","https://openalex.org/W2125312659","https://openalex.org/W2125654704","https://openalex.org/W2126432571","https://openalex.org/W2132952412","https://openalex.org/W2133665775","https://openalex.org/W2134774992","https://openalex.org/W2135377272","https://openalex.org/W2144468361","https://openalex.org/W2144520790","https://openalex.org/W2149600487","https://openalex.org/W2150490197","https://openalex.org/W2151614404","https://openalex.org/W2153184203","https://openalex.org/W2161304138","https://openalex.org/W2161907179","https://openalex.org/W2167349140","https://openalex.org/W2168078737","https://openalex.org/W2171301243","https://openalex.org/W2171349048","https://openalex.org/W2324971623","https://openalex.org/W2622470254","https://openalex.org/W3182211633","https://openalex.org/W4321466059","https://openalex.org/W6677890162","https://openalex.org/W6738991188"],"related_works":["https://openalex.org/W1585338487","https://openalex.org/W1997117005","https://openalex.org/W1562127107","https://openalex.org/W3194862240","https://openalex.org/W1989143878","https://openalex.org/W2289086982","https://openalex.org/W2506963199","https://openalex.org/W2782916784","https://openalex.org/W4206325381","https://openalex.org/W2295706819"],"abstract_inverted_index":{"A":[0],"full-reference":[1],"image":[2,65,108],"quality":[3,94],"assessment":[4],"(IQA)":[5],"model":[6,17],"by":[7,36,55,132],"multiscale":[8],"visual":[9,62,96,102],"gradient":[10,41,47,66,88],"similarity":[11,39,45],"(VGS)":[12],"is":[13,29,34,52,84,140],"presented.":[14],"The":[15,110],"VGS":[16,74,117,128,139],"adopts":[18],"a":[19],"three-stage":[20],"approach:":[21],"First,":[22],"global":[23],"contrast":[24],"registration":[25],"for":[26,87],"each":[27],"scale":[28],"applied.":[30],"Then,":[31],"pointwise":[32],"comparison":[33],"given":[35],"multiplying":[37],"the":[38,44,73],"of":[40,46,60,99,113,116,127,147],"direction":[42],"with":[43,120,142],"magnitude.":[48,89],"Third,":[49],"intrascale":[50],"pooling":[51],"applied,":[53],"followed":[54],"interscale":[56],"pooling.":[57],"Several":[58],"properties":[59],"human":[61],"systems":[63],"on":[64],"have":[67],"been":[68,78,130],"explored":[69],"and":[70,101,124,152],"incorporated":[71],"into":[72],"model.":[75],"It":[76],"has":[77,129],"found":[79],"that":[80,138],"Stevens'":[81],"power":[82],"law":[83],"also":[85,105],"suitable":[86],"Other":[90],"factors":[91],"such":[92],"as":[93],"uniformity,":[95],"detection":[97],"threshold":[98],"gradient,":[100],"frequency":[103],"sensitivity":[104],"affect":[106],"subjective":[107],"quality.":[109],"optimal":[111],"values":[112],"two":[114],"parameters":[115],"are":[118],"trained":[119],"existing":[121],"IQA":[122],"databases,":[123],"good":[125],"performance":[126],"verified":[131],"cross":[133],"validation.":[134],"Experimental":[135],"results":[136],"show":[137],"competitive":[141],"state-of-the-art":[143],"metrics":[144],"in":[145],"terms":[146],"prediction":[148],"precision,":[149],"reliability,":[150],"simplicity,":[151],"low":[153],"computational":[154],"cost.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}