{"id":"https://openalex.org/W2583296642","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-250","title":"A methodology for perceptual image quality assessment of smartphone cameras &amp;#x2013; color quality","display_name":"A methodology for perceptual image quality assessment of smartphone cameras &amp;#x2013; color quality","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2583296642","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-250","mag":"2583296642"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-250","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-250","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5007237632","display_name":"Susan Farnand","orcid":"https://orcid.org/0000-0001-6034-5578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susan Farnand","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110275044","display_name":"Young Jang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Young Jang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036059179","display_name":"Lark Kwon Choi","orcid":"https://orcid.org/0000-0001-5698-5775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lark Kwon Choi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082047249","display_name":"Chuck Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuck Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42818099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"12","first_page":"95","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9919000267982483,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9919000267982483,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9832000136375427,"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/contrast","display_name":"Contrast (vision)","score":0.6720961332321167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6436467170715332},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6323342323303223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6282173991203308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6261382102966309},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5629943609237671},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5489011406898499},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5251674056053162},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4225965738296509},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32768282294273376},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12048542499542236}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6720961332321167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6436467170715332},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6323342323303223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6282173991203308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261382102966309},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5629943609237671},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5489011406898499},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5251674056053162},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4225965738296509},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32768282294273376},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12048542499542236},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-250","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-250","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2093931120","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2329812990"],"abstract_inverted_index":{"This":[0],"research":[1],"project":[2],"was":[3,174],"undertaken":[4],"to":[5,56,72,110,165,178,184],"develop":[6],"a":[7,50,199,208],"procedure":[8],"for":[9,15,90,104,193,198,212],"evaluating":[10],"perceptually-based":[11],"pictorial":[12],"image":[13,43,68],"quality":[14,38,44,69,74,106],"smartphone":[16,53],"camera":[17],"captures.":[18],"Tone":[19],"quality,":[20,22],"color":[21,105,211],"and":[23,25,39,92,190],"sharpness":[24,91],"noise":[26],"were":[27,61,107,149],"evaluated":[28],"in":[29,63,176,182],"separate":[30],"experiments.":[31],"In":[32,98],"each":[33],"test,":[34],"observers":[35],"scaled":[36],"overall":[37,73],"then":[40],"the":[41,66,79,87,101,114,124,139,162,166,179],"individual":[42,67],"characteristic":[45],"of":[46,52,81,145,161],"test":[47,140,146],"images":[48,144],"from":[49,116,138],"variety":[51],"cameras":[54],"relative":[55,71,109],"an":[57],"anchor":[58],"image.":[59],"Results":[60,168],"reported":[62],"2016":[64],"on":[65,78],"characteristics":[70],"as":[75,77,207],"well":[76],"development":[80],"objective":[82,111,191],"measurements":[83,112],"that":[84,120,148,171,203],"correlate":[85],"with":[86,113,134],"visual":[88,102],"ratings":[89,103],"noise.":[93],"(Farnand,":[94],"et":[95],"al.,":[96],"2016)":[97],"this":[99,117],"work,":[100],"assessed":[108],"results":[115,131,197],"analysis":[118],"indicating":[119],"high":[121,186],"correlations":[122],"between":[123,188],"two":[125],"can":[126],"be":[127],"achieved.":[128],"The":[129],"perceptual":[130,216],"correlated":[132],"best":[133],"colorimetric":[135,180],"information":[136,173,181,192],"taken":[137],"images,":[141],"rather":[142],"than":[143],"charts":[147],"captured":[150],"under":[151],"lab":[152],"conditions,":[153],"which":[154],"did":[155],"not":[156],"necessarily":[157],"contain":[158],"colors":[159,163],"representative":[160],"important":[164],"scenes.":[167,195],"also":[169],"indicated":[170],"contrast":[172],"needed":[175],"addition":[177],"order":[183],"achieve":[185],"correlation":[187],"subjective":[189],"all":[194],"Further,":[196],"beach":[200],"scene":[201],"suggest":[202],"sand":[204],"may":[205],"serve":[206],"useful":[209],"memory":[210],"predicting":[213],"device":[214],"capture":[215],"performance.":[217]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
