{"id":"https://openalex.org/W2399492502","doi":"https://doi.org/10.2352/cic.2008.16.1.art00066","title":"Visual Equivalence: an Object-based Approach to Image Quality","display_name":"Visual Equivalence: an Object-based Approach to Image Quality","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2399492502","doi":"https://doi.org/10.2352/cic.2008.16.1.art00066","mag":"2399492502"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2008.16.1.art00066","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2008.16.1.art00066","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":"Color and Imaging Conference","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/A5077900703","display_name":"James A. Ferwerda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James A. Ferwerda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077444152","display_name":"Ganesh Ramanarayanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ganesh Ramanarayanan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091204569","display_name":"Bruce Walter","orcid":"https://orcid.org/0000-0003-2619-6120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bruce Walter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087263986","display_name":"Kavita Bala","orcid":"https://orcid.org/0000-0001-9761-6503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kavita Bala","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":1.42,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85064643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"1","first_page":"347","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.991599977016449,"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":0.991599977016449,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9373999834060669,"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/image-warping","display_name":"Image warping","score":0.7527467012405396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935510039329529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.668787956237793},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.6615240573883057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090287566184998},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5399096012115479},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5160588622093201},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.47806528210639954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33517593145370483},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32281631231307983},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08183145523071289}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7527467012405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935510039329529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.668787956237793},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6615240573883057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090287566184998},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5399096012115479},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5160588622093201},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.47806528210639954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33517593145370483},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32281631231307983},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08183145523071289},{"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:10.2352/cic.2008.16.1.art00066","is_oa":false,"landing_page_url":"https://doi.org/10.2352/cic.2008.16.1.art00066","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":"Color and Imaging Conference","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.4830","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.4830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/%7Ekb/publications/CIC08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2143630701","https://openalex.org/W2621079708","https://openalex.org/W2116300362","https://openalex.org/W2779438614","https://openalex.org/W2364531767","https://openalex.org/W2093767889","https://openalex.org/W2168579672","https://openalex.org/W2087353037","https://openalex.org/W2143214896","https://openalex.org/W1990414221"],"abstract_inverted_index":{"In":[0,33],"this":[1],"paper":[2],"we":[3,39,56,93,108],"introduce":[4],"a":[5,34,113,129],"new":[6,131,180],"approach":[7,132],"to":[8,48,81,102,133,157],"characterizing":[9],"image":[10,135,152,183],"quality:":[11],"visual":[12,88,168,171],"equivalence.":[13,73,125],"Images":[14],"are":[15,30,52],"visually":[16,53],"equivalent":[17],"if":[18,28],"they":[19,29,98,119],"convey":[20],"the":[21,76,79,110,146,176],"same":[22],"information":[23],"about":[24],"object":[25,42,169],"appearance":[26],"even":[27],"visibly":[31],"different.":[32],"series":[35],"of":[36,61,72,78,124,151,163,167,178,182],"psychophysical":[37],"experiments":[38,80],"explore":[40],"how":[41,58],"geometry,":[43],"material,":[44],"and":[45,55,67,92,105,116,187],"illumination":[46,64],"interact":[47],"produce":[49],"images":[50],"that":[51,84,118,137,148],"equivalent,":[54],"identify":[57],"two":[59],"kinds":[60,150],"transformations":[62],"on":[63],"fields":[65],"(blurring":[66],"warping)":[68],"influence":[69],"observers'":[70],"judgments":[71,123],"We":[74],"use":[75],"results":[77],"derive":[82],"metrics":[83,96,143,173],"can":[85,99],"serve":[86],"as":[87],"equivalence":[89,127,172],"predictors":[90,111],"(VEPs)":[91],"generalize":[94],"these":[95],"so":[97],"be":[100],"applied":[101],"novel":[103],"objects":[104],"scenes.":[106],"Finally":[107],"validate":[109],"in":[112],"confirmatory":[114],"study,":[115],"show":[117],"reliably":[120],"predict":[121],"observer's":[122],"Visual":[126],"is":[128],"significant":[130],"measuring":[134],"quality":[136],"goes":[138],"beyond":[139],"existing":[140],"visible":[141],"difference":[142],"by":[144],"leveraging":[145],"fact":[147],"some":[149],"differences":[153],"do":[154],"not":[155],"matter":[156],"human":[158],"observers.":[159],"By":[160],"taking":[161],"advantage":[162],"higher":[164],"order":[165],"aspects":[166],"coding,":[170],"should":[174],"enable":[175],"development":[177],"powerful":[179],"classes":[181],"capture,":[184],"compression,":[185],"rendering,":[186],"display":[188],"algorithms.":[189]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
