{"id":"https://openalex.org/W2014261355","doi":"https://doi.org/10.1109/icip.2011.6115683","title":"De-ghosting of HDR images with double-credit intensity mapping","display_name":"De-ghosting of HDR images with double-credit intensity mapping","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2014261355","doi":"https://doi.org/10.1109/icip.2011.6115683","mag":"2014261355"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6115683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5025588570","display_name":"Zijian Zhu","orcid":"https://orcid.org/0000-0001-8343-4936"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zijian Zhu","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700917","display_name":"Zhengguo Li","orcid":"https://orcid.org/0000-0002-4525-1204"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhengguo Li","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research 1 Fusionopolis Way, #21-01, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046381235","display_name":"Pasi Frdnti","orcid":null},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pasi Frdnti","raw_affiliation_strings":["Ita-Suomen yliopisto, Joensuu, FI","University of Eastern Finland P.O. Box 111, Joensuu, Finland 80101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ita-Suomen yliopisto, Joensuu, FI","institution_ids":["https://openalex.org/I175532246"]},{"raw_affiliation_string":"University of Eastern Finland P.O. Box 111, Joensuu, Finland 80101","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1337","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9959999918937683,"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/ghosting","display_name":"Ghosting","score":0.9930483102798462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717602014541626},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6649320125579834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6406702995300293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6253902912139893},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5875599384307861},{"id":"https://openalex.org/keywords/intensity-mapping","display_name":"Intensity mapping","score":0.5399463176727295},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.483578622341156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4463570713996887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08279663324356079},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08067119121551514}],"concepts":[{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.9930483102798462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717602014541626},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6649320125579834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406702995300293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6253902912139893},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5875599384307861},{"id":"https://openalex.org/C2777967070","wikidata":"https://www.wikidata.org/wiki/Q18208114","display_name":"Intensity mapping","level":4,"score":0.5399463176727295},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.483578622341156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4463570713996887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08279663324356079},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08067119121551514},{"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/C33024259","wikidata":"https://www.wikidata.org/wiki/Q76250","display_name":"Redshift","level":3,"score":0.0},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6115683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W55661325","https://openalex.org/W2015034904","https://openalex.org/W2041113564","https://openalex.org/W2074172223","https://openalex.org/W2110285966","https://openalex.org/W2130724993","https://openalex.org/W2143736264","https://openalex.org/W6602205340"],"related_works":["https://openalex.org/W114247175","https://openalex.org/W182732483","https://openalex.org/W2362376230","https://openalex.org/W2014261355","https://openalex.org/W2015034904","https://openalex.org/W3084124739","https://openalex.org/W2077416681","https://openalex.org/W2203307634","https://openalex.org/W3195818640","https://openalex.org/W1984564022"],"abstract_inverted_index":{"Ghosting":[0],"artifacts":[1],"are":[2,74],"usually":[3],"caused":[4],"by":[5],"moving":[6],"object":[7],"when":[8],"composing":[9],"a":[10,24,32],"high":[11],"dynamic":[12],"range":[13],"image":[14,68],"from":[15,44,66],"multiple":[16],"differently":[17],"exposed":[18],"conventional":[19],"images.":[20],"In":[21],"this":[22],"paper,":[23],"robust":[25],"de-ghosting":[26,111],"algorithm":[27],"is":[28,50,64,95],"proposed":[29,110],"based":[30],"on":[31,76],"double-credit":[33,48],"intensity":[34,55],"mapping":[35],"function":[36],"(IMF)":[37],"and":[38,57,70],"an":[39],"adaptive":[40],"threshold":[41,62],"model":[42,63],"derived":[43],"statistical":[45,61],"training.":[46],"The":[47,103],"IMF":[49,85],"estimated":[51],"using":[52],"both":[53],"pixel":[54],"distribution":[56],"spatial":[58],"correlation.":[59],"A":[60],"trained":[65],"the":[67,71,77,84,100,106,109],"database,":[69],"key":[72],"parameters":[73],"determined":[75],"fly":[78],"with":[79],"variance":[80],"vector":[81],"calculated":[82],"during":[83],"estimation":[86],"to":[87,89],"adapt":[88],"different":[90],"scenarios.":[91],"Optimal":[92],"bidirectional":[93],"comparison":[94],"used":[96],"for":[97],"further":[98],"improves":[99],"detection":[101],"accuracy.":[102],"experiments":[104],"show":[105],"effectiveness":[107],"of":[108],"method.":[112]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
