{"id":"https://openalex.org/W2965346176","doi":"https://doi.org/10.1109/tcsvt.2019.2931589","title":"Blind Quality Assessment for Cartoon Images","display_name":"Blind Quality Assessment for Cartoon Images","publication_year":2019,"publication_date":"2019-07-29","ids":{"openalex":"https://openalex.org/W2965346176","doi":"https://doi.org/10.1109/tcsvt.2019.2931589","mag":"2965346176"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2931589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2931589","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5029855289","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0001-5344-958X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","School of Computer and Information; Hefei University of Technology; Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information; Hefei University of Technology; Hefei China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056718303","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0001-5252-658X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer and Information, Hefei University of Technology, Hefei, China","Peng Cheng Laboratory, Shenzhen, China; School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China; School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728145","display_name":"Shujie Li","orcid":"https://orcid.org/0000-0002-6525-2706"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujie Li","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6525-2706","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"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"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","Peng Cheng Laboratory, Shenzhen, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3330-783X","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395308","display_name":"Wei Jia","orcid":"https://orcid.org/0000-0001-5628-6237"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jia","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-6237","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616339","display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0002-0760-6262"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Liu","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0760-6262","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029855289"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.1232,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82308153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"9","first_page":"3282","last_page":"3288"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9929999709129333,"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":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.7269093990325928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809390783309937},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.6325140595436096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6290037631988525},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6097424626350403},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5826680064201355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5573235154151917},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4715811312198639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4617168605327606},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4251422882080078},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41094833612442017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2414015531539917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1423182487487793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13764029741287231},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.07221779227256775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269093990325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809390783309937},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.6325140595436096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6290037631988525},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6097424626350403},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5826680064201355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5573235154151917},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4715811312198639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4617168605327606},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4251422882080078},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41094833612442017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2414015531539917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1423182487487793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13764029741287231},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.07221779227256775},{"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},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2931589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2931589","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1784099286","display_name":null,"funder_award_id":"2017YFB1402200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3016218962","display_name":null,"funder_award_id":"61673157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3473720878","display_name":null,"funder_award_id":"PA2018GDQT0014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3841787934","display_name":null,"funder_award_id":"61602014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4937598220","display_name":null,"funder_award_id":"61877016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1561538450","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1981572319","https://openalex.org/W1982471090","https://openalex.org/W2018764866","https://openalex.org/W2035713052","https://openalex.org/W2046119925","https://openalex.org/W2051596736","https://openalex.org/W2056061164","https://openalex.org/W2057224480","https://openalex.org/W2058160332","https://openalex.org/W2059968011","https://openalex.org/W2061513831","https://openalex.org/W2063360098","https://openalex.org/W2069737080","https://openalex.org/W2071788534","https://openalex.org/W2080579153","https://openalex.org/W2080945169","https://openalex.org/W2091978562","https://openalex.org/W2110689527","https://openalex.org/W2128061775","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2134963900","https://openalex.org/W2141983208","https://openalex.org/W2163370434","https://openalex.org/W2191457296","https://openalex.org/W2316248200","https://openalex.org/W2323509952","https://openalex.org/W2509123681","https://openalex.org/W2516858621","https://openalex.org/W2566149141","https://openalex.org/W2586275201","https://openalex.org/W2600360414","https://openalex.org/W2601209352","https://openalex.org/W2658889823","https://openalex.org/W2743390484","https://openalex.org/W2767136499","https://openalex.org/W2777280533","https://openalex.org/W2794680924","https://openalex.org/W2804922349"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2359776416","https://openalex.org/W2387011115","https://openalex.org/W2353788488","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2361916204","https://openalex.org/W2809151339","https://openalex.org/W2372011046","https://openalex.org/W1990584060"],"abstract_inverted_index":{"Current":[0],"blind":[1],"image":[2,57,132],"quality":[3,83,144],"assessment":[4],"(BIQA)":[5],"algorithms":[6],"are":[7,18,28],"mainly":[8],"designed":[9,44],"for":[10,45,152],"natural":[11,22],"images.":[12,23,34],"Unfortunately,":[13],"cartoon":[14,33,46,56,96,131,146,153],"and":[15,63,87,117,148],"cartoon-like":[16],"images":[17,97,147],"quite":[19],"different":[20],"from":[21],"Hence,":[24],"recent":[25],"BIQA":[26,42,158],"methods":[27],"not":[29],"very":[30],"robust":[31],"to":[32,80,108],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40,55,67,73,88,101,118],"specific":[41],"algorithm":[43],"images,":[47],"which":[48],"consists":[49],"of":[50,84,93,145],"the":[51,82,85,110,114,130,136,142],"following":[52],"terms.":[53],"First,":[54],"is":[58,78,98,106,123,149],"divided":[59],"into":[60],"edge":[61],"areas":[62,65],"nonedge":[64,115],"via":[66],"Tchebichef":[68],"moment":[69],"(TM)-based":[70],"process.":[71],"Second,":[72],"multiorder":[74],"sharpness":[75,89],"statistic":[76,90,104,120],"term":[77,105],"used":[79],"measure":[81],"edges,":[86],"prior":[91,121],"model":[92,122],"high-quality":[94],"(HQ)":[95],"built.":[99],"Finally,":[100],"local":[102],"encoding":[103],"adopted":[107],"describe":[109],"textural":[111],"complexity":[112],"in":[113],"areas,":[116],"texture":[119],"also":[124],"established.":[125],"The":[126],"experimental":[127],"results":[128],"on":[129],"datasets":[133],"demonstrate":[134],"that":[135],"proposed":[137],"method":[138],"can":[139],"accurately":[140],"evaluate":[141],"visual":[143],"more":[150],"suitable":[151],"scenarios":[154],"than":[155],"some":[156],"traditional":[157],"algorithms.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}