{"id":"https://openalex.org/W2561128953","doi":"https://doi.org/10.2352/issn.2470-1173.2016.6.retinex-017","title":"Retinex Algorithms: Many spatial processes used to solve many different problems","display_name":"Retinex Algorithms: Many spatial processes used to solve many different problems","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2561128953","doi":"https://doi.org/10.2352/issn.2470-1173.2016.6.retinex-017","mag":"2561128953"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.6.retinex-017","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.6.retinex-017","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/A5037925981","display_name":"John J. McCann","orcid":"https://orcid.org/0000-0002-6158-8181"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"John J McCann","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037925981"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83753168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"6","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9642000198364258,"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":0.9642000198364258,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9190999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.9568346738815308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595981121063232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657852292060852},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5505075454711914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5135788917541504},{"id":"https://openalex.org/keywords/subjective-constancy","display_name":"Subjective constancy","score":0.4841773808002472},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2740201950073242},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.07991990447044373},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06514424085617065}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.9568346738815308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595981121063232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657852292060852},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5505075454711914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5135788917541504},{"id":"https://openalex.org/C3680456","wikidata":"https://www.wikidata.org/wiki/Q1118390","display_name":"Subjective constancy","level":3,"score":0.4841773808002472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2740201950073242},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.07991990447044373},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06514424085617065},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.6.retinex-017","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.6.retinex-017","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2164017574","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"different":[3,8,14,18],"Retinex":[4,35,51,65,86,110],"algorithms.":[5],"They":[6,16,112],"make":[7],"assumptions,":[9],"and":[10,22],"attempt":[11],"to":[12,56,70,76,93],"solve":[13],"problems.":[15],"have":[17,104],"goals,":[19,40],"ground":[20,41],"truths":[21,42],"output":[23],"results.":[24,49],"This":[25,98],"\"Retinex":[26],"at":[27],"50":[28],"Workshop\"":[29],"session":[30],"compares":[31],"the":[32,45,58,61,89,101],"variety":[33],"of":[34,47,60,84,109],"algorithms,":[36],"along":[37],"with":[38],"their":[39,48,78],"that":[43,103,121],"measure":[44],"success":[46],"All":[50,64],"algorithms":[52,66,120],"use":[53],"spatial":[54,96],"comparisons":[55],"calculate":[57],"appearances":[59],"entire":[62],"scene.":[63],"need":[67],"observer":[68,90],"data":[69,117],"quantify":[71],"human":[72,95],"vision,":[73],"so":[74],"as":[75,106],"evaluate":[77],"accuracy.":[79],"The":[80],"most":[81],"critical":[82],"component":[83],"all":[85],"experiments":[87,102],"is":[88],"matches":[91],"used":[92],"characterize":[94],"vision.":[97],"paper":[99],"reviews":[100],"evolved":[105],"a":[107,114],"result":[108],"Theory.":[111],"provide":[113],"very":[115],"challenging":[116],"set":[118],"for":[119],"predict":[122],"appearance.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}