{"id":"https://openalex.org/W1597606624","doi":"https://doi.org/10.1007/978-3-540-88693-8_46","title":"Estimating Radiometric Response Functions from Image Noise Variance","display_name":"Estimating Radiometric Response Functions from Image Noise Variance","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1597606624","doi":"https://doi.org/10.1007/978-3-540-88693-8_46","mag":"1597606624"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-88693-8_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-88693-8_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5047085140","display_name":"Jun Takamatsu","orcid":"https://orcid.org/0000-0001-7457-2878"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Jun Takamatsu","raw_affiliation_strings":["Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC),","Nara Institute of Science and Technology,","Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC)","Nara Institute of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC),","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Nara Institute of Science and Technology,","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC)","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Nara Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033986386","display_name":"Yasuyuki Matsushita","orcid":"https://orcid.org/0000-0002-1935-4752"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasuyuki Matsushita","raw_affiliation_strings":["Microsoft Research Asia,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia,","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016258462","display_name":"Katsushi Ikeuchi","orcid":"https://orcid.org/0000-0001-9758-9357"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Katsushi Ikeuchi","raw_affiliation_strings":["Institute of Industrial Science, the University of Tokyo,","Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC),","Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC)","the University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, the University of Tokyo,","institution_ids":["https://openalex.org/I74640424","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC),","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Institute for Japanese Academic Research Collaboration (MS-IJARC)","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"the University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.9624,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93734517,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"623","last_page":"637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11019","display_name":"Image Enhancement Techniques","score":0.9904000163078308,"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/noise","display_name":"Noise (video)","score":0.6440277099609375},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6067472100257874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5865397453308105},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.4916306138038635},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4722389876842499},{"id":"https://openalex.org/keywords/variance-function","display_name":"Variance function","score":0.47198206186294556},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4683011770248413},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38740038871765137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.297916978597641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29710376262664795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2692614197731018},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2089223563671112},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.11520817875862122},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07433506846427917}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6440277099609375},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6067472100257874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5865397453308105},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.4916306138038635},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4722389876842499},{"id":"https://openalex.org/C120488996","wikidata":"https://www.wikidata.org/wiki/Q17016064","display_name":"Variance function","level":3,"score":0.47198206186294556},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4683011770248413},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38740038871765137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.297916978597641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29710376262664795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2692614197731018},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2089223563671112},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.11520817875862122},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07433506846427917},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-88693-8_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-88693-8_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.190.9904","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.9904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/UM/people/yasumat/papers/takamatsu_eccv2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1520247771","https://openalex.org/W1974093345","https://openalex.org/W2069281566","https://openalex.org/W2096099694","https://openalex.org/W2103802376","https://openalex.org/W2107829375","https://openalex.org/W2114582531","https://openalex.org/W2124545674","https://openalex.org/W2130700878","https://openalex.org/W2132080301","https://openalex.org/W2132817297","https://openalex.org/W2133934946","https://openalex.org/W2136270866","https://openalex.org/W2142601254","https://openalex.org/W2150202022","https://openalex.org/W2154398219","https://openalex.org/W2156015172","https://openalex.org/W2160715448","https://openalex.org/W2163446914","https://openalex.org/W2163545055","https://openalex.org/W2171074980","https://openalex.org/W2171151647","https://openalex.org/W2502277634","https://openalex.org/W2797829469","https://openalex.org/W4236229596","https://openalex.org/W4237837243","https://openalex.org/W4245771165"],"related_works":["https://openalex.org/W2361878441","https://openalex.org/W195066479","https://openalex.org/W2903757271","https://openalex.org/W1868007872","https://openalex.org/W2093862975","https://openalex.org/W2071835214","https://openalex.org/W4205827436","https://openalex.org/W2125072374","https://openalex.org/W3184322736","https://openalex.org/W2189125077"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
