{"id":"https://openalex.org/W2137377248","doi":"https://doi.org/10.1109/icip.2005.1530555","title":"Custom color enhancements by statistical learning","display_name":"Custom color enhancements by statistical learning","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2137377248","doi":"https://doi.org/10.1109/icip.2005.1530555","mag":"2137377248"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5006404251","display_name":"Manisha Gupta","orcid":"https://orcid.org/0009-0005-9952-9987"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M.R. Gupta","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA","[Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA]","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006404251"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.5875,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71664492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9944999814033508,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9911999702453613,"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":0.713065505027771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706860065460205},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5633600950241089},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.5117780566215515},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5038008093833923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46771329641342163},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.424930214881897},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4176441729068756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4162575602531433},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4130440354347229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29472678899765015},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06215423345565796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713065505027771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706860065460205},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5633600950241089},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.5117780566215515},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5038008093833923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46771329641342163},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.424930214881897},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4176441729068756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4162575602531433},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4130440354347229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29472678899765015},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06215423345565796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1568117653","https://openalex.org/W1971807341","https://openalex.org/W2129112648","https://openalex.org/W2292976057"],"related_works":["https://openalex.org/W2140509105","https://openalex.org/W4389501116","https://openalex.org/W1547843988","https://openalex.org/W2559833131","https://openalex.org/W2730225583","https://openalex.org/W3146178872","https://openalex.org/W4393899117","https://openalex.org/W2175900582","https://openalex.org/W4235907447","https://openalex.org/W4388910335"],"abstract_inverted_index":{"We":[0,36,105],"consider":[1],"the":[2,20,66],"problem":[3],"of":[4,13,65,81],"automatically":[5,42],"learning":[6,43,49,90],"color":[7,15,68,92],"enhancements":[8,93],"from":[9],"a":[10,23,38,44,84,114],"small":[11],"set":[12],"sample":[14,116],"pairs,":[16],"and":[17,30,56,70,77],"then":[18],"describing":[19],"enhancement":[21],"by":[22,112],"three-dimensional":[24],"look-up-table":[25],"that":[26,58,74,89,107,117],"can":[27,109],"be":[28,110],"stored":[29],"implemented":[31],"as":[32,52],"an":[33],"ICC":[34],"profile.":[35],"propose":[37],"new":[39],"method":[40],"for":[41,46],"neighborhood":[45],"local":[47,53],"statistical":[48],"methods":[50],"such":[51],"linear":[54],"regression,":[55],"show":[57,106],"this":[59,108],"leads":[60],"to":[61,102,120],"relatively":[62],"accurate":[63],"descriptions":[64],"desired":[67],"transformation":[69],"results":[71],"in":[72,96],"images":[73,101],"appear":[75],"smooth":[76],"have":[78],"natural":[79],"depth":[80],"detail.":[82],"In":[83],"previous":[85],"work":[86],"we":[87],"showed":[88],"arbitrary":[91],"could":[94],"result":[95],"colored":[97],"specular":[98],"highlights,":[99],"causing":[100],"look":[103],"unnatural.":[104],"solved":[111],"adding":[113],"null":[115],"maps":[118],"white":[119],"white.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}