{"id":"https://openalex.org/W2062262867","doi":"https://doi.org/10.1109/icip.2010.5652804","title":"Detecting and composing near-identical HDR images without exposure information","display_name":"Detecting and composing near-identical HDR images without exposure information","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2062262867","doi":"https://doi.org/10.1109/icip.2010.5652804","mag":"2062262867"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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":["Signal Processing Department, Institute of Infocomm Research, Singapore","Signal Processing Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute of Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Processing Department, 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":["Signal Processing Department, Institute of Infocomm Research, Singapore","Signal Processing Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute of Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Processing Department, 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":["Signal Processing Department, Institute of Infocomm Research, Singapore","Signal Processing Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01, Singapore 138632"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute of Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Processing Department, 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/A5037846871","display_name":"Pasi Fr\u00e4nti","orcid":"https://orcid.org/0000-0002-9554-2827"},"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 Franti","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Joensuu, Finland","School of Computing, University of Eastern Finland, P.O.Box 111, Joensuu, Finland 80101"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]},{"raw_affiliation_string":"School of Computing, 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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3337","last_page":"3340"},"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":0.9993000030517578,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.727395236492157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7231175899505615},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.716554582118988},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7109984159469604},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7069949507713318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6789756417274475},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5893191695213318},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4885784089565277},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4667307138442993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32969093322753906},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.2888266444206238}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.727395236492157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7231175899505615},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.716554582118988},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7109984159469604},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7069949507713318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6789756417274475},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5893191695213318},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4885784089565277},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4667307138442993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32969093322753906},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.2888266444206238},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5652804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1505723240","https://openalex.org/W2041113564","https://openalex.org/W2069281566","https://openalex.org/W2104745266","https://openalex.org/W2130700878","https://openalex.org/W2132817297","https://openalex.org/W2143736264","https://openalex.org/W4236229596"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2107628111","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2394004323","https://openalex.org/W1647606319","https://openalex.org/W2398764543","https://openalex.org/W2922442631","https://openalex.org/W4390494008"],"abstract_inverted_index":{"In":[0],"high":[1],"dynamic":[2],"range":[3],"(HDR)":[4],"imaging,":[5],"two":[6,60],"essential":[7],"problems":[8],"are":[9,63],"to":[10,26,57,102,109,121],"compose":[11,128],"HDR":[12,53,61,96,112,130],"image":[13,16,54],"from":[14,64],"conventional":[15],"set":[17],"without":[18],"any":[19],"prior":[20],"information":[21],"about":[22],"their":[23,70,82],"exposures,":[24],"and":[25,115,127],"access":[27],"the":[28,65,76,79,123],"synthesis":[29,117],"result.":[30],"To":[31],"solve":[32],"these":[33],"problems,":[34],"we":[35,50],"first":[36],"develop":[37],"an":[38,52],"exposure":[39,125],"ratio":[40],"estimation":[41],"algorithm":[42,118],"based":[43],"on":[44],"intensity":[45],"mapping":[46],"function":[47],"(IMF).":[48],"Then,":[49],"introduce":[51],"comparison":[55],"method":[56,106],"verify":[58],"whether":[59],"images":[62,77,97,113],"same":[66,80],"scene":[67],"by":[68,87],"using":[69],"log":[71],"histogram":[72],"similarity.":[73],"Even":[74],"though":[75],"carrying":[78],"information,":[81],"similarity":[83],"cannot":[84],"be":[85],"detected":[86],"pixel-wise":[88],"comparisons.":[89],"We":[90],"name":[91],"such":[92],"a":[93],"pair":[94],"of":[95],"as":[98],"near-identical":[99,111,129],"images.":[100,131],"According":[101],"experiments,":[103],"our":[104,116],"detection":[105],"is":[107,119],"able":[108,120],"identify":[110],"effectively,":[114],"recover":[122],"correct":[124],"ratios":[126]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}