{"id":"https://openalex.org/W4312358139","doi":"https://doi.org/10.1109/mmsp55362.2022.9949270","title":"A Full- Reference Quality Assessment Metric for Cartoon Images","display_name":"A Full- Reference Quality Assessment Metric for Cartoon Images","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312358139","doi":"https://doi.org/10.1109/mmsp55362.2022.9949270"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949270","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-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/A5100728491","display_name":"Chunyi Li","orcid":"https://orcid.org/0000-0002-0032-8933"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyi Li","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797192","display_name":"Zicheng Zhang","orcid":"https://orcid.org/0000-0002-7247-7938"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Zhang","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044700284","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0001-8162-1949"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100728491"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.6597,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78489947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9817000031471252,"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":0.9815000295639038,"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":0.8131028413772583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.687868595123291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5988183617591858},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.5391703844070435},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5390208959579468},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5300222039222717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48432958126068115},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.46742767095565796},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43849965929985046},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4151836335659027},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.412502646446228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3727758824825287},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3067997992038727},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22370317578315735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131028413772583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.687868595123291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5988183617591858},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.5391703844070435},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5390208959579468},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5300222039222717},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48432958126068115},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.46742767095565796},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43849965929985046},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4151836335659027},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.412502646446228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3727758824825287},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3067997992038727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22370317578315735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949270","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1580389772","https://openalex.org/W1964859077","https://openalex.org/W1968613884","https://openalex.org/W1972006393","https://openalex.org/W1992081487","https://openalex.org/W2005001434","https://openalex.org/W2009272644","https://openalex.org/W2015196405","https://openalex.org/W2028018796","https://openalex.org/W2046119925","https://openalex.org/W2114582993","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2150734399","https://openalex.org/W2152059677","https://openalex.org/W2153635508","https://openalex.org/W2159269332","https://openalex.org/W2296249689","https://openalex.org/W2489951788","https://openalex.org/W2563786098","https://openalex.org/W2588998993","https://openalex.org/W2890740734","https://openalex.org/W2965346176","https://openalex.org/W3000351820","https://openalex.org/W3003389268","https://openalex.org/W3011248152","https://openalex.org/W3022710784","https://openalex.org/W3094577522","https://openalex.org/W3122640361","https://openalex.org/W3171407434","https://openalex.org/W3174795132","https://openalex.org/W3190212754","https://openalex.org/W3209753567","https://openalex.org/W4206339567","https://openalex.org/W4226204477","https://openalex.org/W6677322329","https://openalex.org/W6811065985"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W2389470892","https://openalex.org/W4293087713"],"abstract_inverted_index":{"Cartoon":[0],"images":[1,34,79,93],"are":[2,5,17,35,73,102,168,177],"illustrations":[3],"that":[4,195,205],"typically":[6],"drawn,":[7],"sometimes":[8],"animated,":[9],"in":[10,20,24,86],"an":[11],"unrealistic":[12],"or":[13],"semi-realistic":[14],"style,":[15],"which":[16,203],"widely":[18],"applied":[19],"multimedia":[21],"services.":[22],"However,":[23],"some":[25],"post-production":[26],"processes":[27],"as":[28,30],"well":[29],"transmission":[31],"systems,":[32],"cartoon":[33,65,92,112,120,219],"inevitably":[36],"distorted":[37,64],"by":[38,99],"wrong":[39],"color":[40,89,166,172],"arrangement":[41],"and":[42,88,94,126,151,162],"compression.":[43],"Therefore,":[44],"it":[45],"is":[46,209],"urgent":[47],"to":[48,56,82,139,154,170],"carry":[49],"out":[50],"image":[51,121],"quality":[52,61,122,180,216],"assessment":[53,123],"(IQA)":[54],"metrics":[55,72,101],"automatically":[57],"predict":[58],"the":[59,68,83,96,106,117,141,146,156,160,175,183,199,206,214],"perceptual":[60],"levels":[62],"of":[63,119,143,164,185,212,218],"images.":[66,113,220],"Nevertheless,":[67],"existing":[69],"mainstream":[70,200],"IQA":[71,137],"specially":[74],"developed":[75],"for":[76,111,129],"natural":[77],"scene":[78],"(NSIs).":[80],"Due":[81],"statistical":[84],"difference":[85],"structure":[87],"aspects":[90],"between":[91],"NSIs,":[95],"scores":[97,181],"predicted":[98],"such":[100],"often":[103],"inconsistent":[104],"with":[105,182],"human":[107],"vision":[108],"system":[109],"(HVS)":[110],"To":[114],"further":[115],"improve":[116],"performance":[118],"(C-IQA)":[124],"methods":[125],"provide":[127],"guidance":[128],"practical":[130],"applications,":[131],"we":[132],"propose":[133],"a":[134,186],"full-reference":[135],"(FR)":[136],"method":[138,148,208],"tackle":[140],"challenge":[142],"C-IQA.":[144],"Specifically,":[145],"proposed":[147,207],"extracts":[149],"edge":[150],"texture":[152],"features":[153,176],"analyze":[155],"structural":[157],"error.":[158],"Then":[159,174],"moment":[161],"entropy":[163],"various":[165],"spaces":[167],"computed":[169],"reflect":[171],"distortions.":[173],"regressed":[178],"into":[179],"assistance":[184],"support":[187],"vector":[188],"regression":[189],"(SVR)":[190],"model.":[191],"Experimental":[192],"results":[193],"show":[194],"our":[196],"metric":[197],"outperforms":[198],"FR-IQA":[201],"metrics,":[202],"indicates":[204],"more":[210],"capable":[211],"modeling":[213],"visual":[215],"loss":[217]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}