{"id":"https://openalex.org/W3214007456","doi":"https://doi.org/10.1145/3468872","title":"Precise No-Reference Image Quality Evaluation Based on Distortion Identification","display_name":"Precise No-Reference Image Quality Evaluation Based on Distortion Identification","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W3214007456","doi":"https://doi.org/10.1145/3468872","mag":"3214007456"},"language":"en","primary_location":{"id":"doi:10.1145/3468872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468872","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5054311881","display_name":"Chenggang Yan","orcid":"https://orcid.org/0000-0003-1204-0512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058034592","display_name":"Tong Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Teng","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422851","display_name":"Yutao Liu","orcid":"https://orcid.org/0009-0009-8562-4026"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Liu","raw_affiliation_strings":["Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101653272","display_name":"Yongbing Zhang","orcid":"https://orcid.org/0009-0008-1568-3728"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbing Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028229824","display_name":"Haoqian Wang","orcid":"https://orcid.org/0000-0003-2792-8469"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqian Wang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054311881"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":10.755,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.98940101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"17","issue":"3s","first_page":"1","last_page":"21"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.995199978351593,"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":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7532989978790283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691976189613342},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6604511141777039},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6200616359710693},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.5206683874130249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4919407069683075},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4655853807926178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46442878246307373},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46195459365844727},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.45037710666656494},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31839948892593384},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3152962625026703},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.30349087715148926},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07602635025978088}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7532989978790283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691976189613342},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6604511141777039},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6200616359710693},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.5206683874130249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4919407069683075},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4655853807926178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46442878246307373},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46195459365844727},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45037710666656494},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31839948892593384},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3152962625026703},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.30349087715148926},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07602635025978088},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468872","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2862965835","display_name":null,"funder_award_id":"61931008, 61671196, 62071415, 62001146, 61701149, 61801157, 61971268, 61901145, 61901150, 61972123, 61922048, and 62031023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3413785771","display_name":null,"funder_award_id":"D17019","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4605464426","display_name":null,"funder_award_id":"2019M650686","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1500262584","https://openalex.org/W1962010357","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1983024748","https://openalex.org/W1984066865","https://openalex.org/W2015196405","https://openalex.org/W2023005931","https://openalex.org/W2036467384","https://openalex.org/W2044465660","https://openalex.org/W2051596736","https://openalex.org/W2063360098","https://openalex.org/W2088275954","https://openalex.org/W2102166818","https://openalex.org/W2104825706","https://openalex.org/W2106775624","https://openalex.org/W2107476778","https://openalex.org/W2108364340","https://openalex.org/W2117117414","https://openalex.org/W2117644767","https://openalex.org/W2118376687","https://openalex.org/W2129644086","https://openalex.org/W2129889344","https://openalex.org/W2130103520","https://openalex.org/W2133665775","https://openalex.org/W2138088051","https://openalex.org/W2151035455","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2162915697","https://openalex.org/W2163370434","https://openalex.org/W2171349048","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2295949027","https://openalex.org/W2342905144","https://openalex.org/W2430408220","https://openalex.org/W2511866412","https://openalex.org/W2539781702","https://openalex.org/W2556068545","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2738692335","https://openalex.org/W2743390484","https://openalex.org/W2768340063","https://openalex.org/W2802543148","https://openalex.org/W2803696107","https://openalex.org/W2810236372","https://openalex.org/W2885293071","https://openalex.org/W2903193781","https://openalex.org/W2915109329","https://openalex.org/W2922420408","https://openalex.org/W2953461088","https://openalex.org/W2963975576","https://openalex.org/W2965086687","https://openalex.org/W3005363104","https://openalex.org/W3022549875","https://openalex.org/W3030380536","https://openalex.org/W3036239693","https://openalex.org/W3080766718","https://openalex.org/W3100498948","https://openalex.org/W3111746241","https://openalex.org/W3135479537","https://openalex.org/W4231704270","https://openalex.org/W4238160254","https://openalex.org/W4245113034","https://openalex.org/W6640974819"],"related_works":["https://openalex.org/W2029783634","https://openalex.org/W1597170061","https://openalex.org/W2027642680","https://openalex.org/W2913940536","https://openalex.org/W2462717764","https://openalex.org/W4377836662","https://openalex.org/W4386290264","https://openalex.org/W2021203468","https://openalex.org/W2371693281","https://openalex.org/W2616156716"],"abstract_inverted_index":{"The":[0],"difficulty":[1],"of":[2,14,123,135,176,184],"no-reference":[3],"image":[4,80,147,154,206],"quality":[5,24,56,155],"assessment":[6,25],"(NR":[7],"IQA)":[8],"often":[9],"lies":[10],"in":[11,19,34,78,203],"the":[12,17,20,59,64,75,79,82,104,111,118,127,132,136,146,153,174,185,192,198,205],"lack":[13],"knowledge":[15],"about":[16],"distortion":[18,52,77,86,124,133,148,178,187],"image,":[21,137],"which":[22,46,116,150],"makes":[23],"blind":[26],"and":[27,54,99,120,157,167,190],"thus":[28],"inefficient.":[29],"To":[30],"tackle":[31],"such":[32],"issue,":[33],"this":[35],"article,":[36],"we":[37,62,138],"propose":[38],"a":[39,71,141],"novel":[40],"scheme":[41],"for":[42],"precise":[43],"NR":[44,194,200],"IQA,":[45],"includes":[47],"two":[48],"successive":[49],"steps,":[50],"i.e.,":[51,88],"identification":[53],"targeted":[55],"evaluation.":[57],"In":[58,126],"first":[60],"step,":[61,129],"employ":[63],"well-known":[65],"Inception-ResNet-v2":[66],"neural":[67,106],"network":[68,107],"to":[69,144],"train":[70],"classifier":[72],"that":[73,172,183],"classifies":[74],"possible":[76],"into":[81],"four":[83],"most":[84],"common":[85],"types,":[87],"Gaussian":[89,93],"white":[90],"noise":[91],"(WN),":[92],"blur":[94],"(GB),":[95],"jpeg":[96],"compression":[97,101],"(JPEG),":[98],"jpeg2000":[100],"(JP2K).":[102],"Specifically,":[103],"deep":[105],"is":[108,180],"trained":[109],"on":[110,163],"large-scale":[112],"Waterloo":[113,168],"Exploration":[114,169],"database,":[115],"ensures":[117],"robustness":[119],"high":[121],"performance":[122],"classification.":[125],"second":[128],"after":[130],"determining":[131],"type":[134],"then":[139],"design":[140],"specific":[142],"approach":[143],"quantify":[145],"level,":[149],"can":[151],"estimate":[152],"specially":[156],"more":[158],"precisely.":[159],"Extensive":[160],"experiments":[161],"performed":[162],"LIVE,":[164],"TID2013,":[165],"CSIQ,":[166],"databases":[170],"demonstrate":[171],"(1)":[173],"accuracy":[175],"our":[177],"classification":[179,188],"higher":[181],"than":[182],"state-of-the-art":[186,199],"methods,":[189],"(2)":[191],"proposed":[193],"IQA":[195,201],"method":[196],"outperforms":[197],"methods":[202],"quantifying":[204],"quality.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
