{"id":"https://openalex.org/W4229523935","doi":"https://doi.org/10.1109/icpr.2004.1334391","title":"Fast tone mapping for high dynamic range images","display_name":"Fast tone mapping for high dynamic range images","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4229523935","doi":"https://doi.org/10.1109/icpr.2004.1334391"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334391","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"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/A5101518907","display_name":"Jiang Duan","orcid":"https://orcid.org/0000-0002-8573-311X"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiang Duan","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"847","last_page":"850 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T11666","display_name":"Color Science and Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.9510469436645508},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.8141801357269287},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7535966038703918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7407410144805908},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.7257340550422668},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.7144776582717896},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6444036364555359},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5877224206924438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5344029664993286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4442652463912964},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.43827566504478455},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.4232408106327057},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3659975826740265},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11768853664398193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08499208092689514},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06849536299705505}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9510469436645508},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.8141801357269287},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7535966038703918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7407410144805908},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.7257340550422668},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.7144776582717896},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6444036364555359},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5877224206924438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5344029664993286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4442652463912964},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.43827566504478455},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.4232408106327057},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3659975826740265},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11768853664398193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08499208092689514},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06849536299705505},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334391","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.64.4414","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.4414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.nott.ac.uk/~qiu/webpages/Papers/vicp2005final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1577680551","https://openalex.org/W1984939790","https://openalex.org/W2023292900","https://openalex.org/W2116057693","https://openalex.org/W2164646284","https://openalex.org/W2164716550","https://openalex.org/W2170410665","https://openalex.org/W2240434622","https://openalex.org/W2244684328","https://openalex.org/W4236229596","https://openalex.org/W4385490394","https://openalex.org/W6684054714","https://openalex.org/W6685119988","https://openalex.org/W6690604324"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W2162796060","https://openalex.org/W4243134350","https://openalex.org/W1939253538","https://openalex.org/W2737661967","https://openalex.org/W2008321379","https://openalex.org/W2028994033","https://openalex.org/W2538096928"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,36,66],"fast,":[3],"effective":[4],"and":[5,13,33,38,41,52],"flexible":[6],"tone":[7],"reproduction":[8,25],"method":[9,47,74],"that":[10,59],"preserves":[11],"visibility":[12,32],"contrast":[14,34],"impression":[15],"of":[16,68],"high":[17,69],"dynamic":[18,23,70,83],"range":[19,24,71,84],"scenes":[20],"in":[21,35],"low":[22,82],"devices.":[26],"A":[27],"single":[28],"parameter":[29],"controls":[30],"the":[31,60],"simple":[37,49],"elegant":[39],"manner":[40],"at":[42],"interactive":[43],"speed.":[44],"The":[45,73],"new":[46],"is":[48,53],"to":[50,79],"use":[51],"computationally":[54],"highly":[55],"efficient.":[56],"Experiments":[57],"show":[58],"technique":[61],"produces":[62],"good":[63],"results":[64],"on":[65],"variety":[67],"images.":[72,86],"can":[75],"also":[76],"be":[77],"used":[78],"enhance":[80],"ordinary":[81],"digital":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
