{"id":"https://openalex.org/W2152691308","doi":"https://doi.org/10.1109/iccv.2007.4409210","title":"Contrast Enhancement from Multiple Panoramic Images","display_name":"Contrast Enhancement from Multiple Panoramic Images","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2152691308","doi":"https://doi.org/10.1109/iccv.2007.4409210","mag":"2152691308"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5109560239","display_name":"Irene Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"Irene Cheng","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA","Department of Computing Science, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054810403","display_name":"Anup Basu","orcid":"https://orcid.org/0000-0002-7695-4148"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anup Basu","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109560239"],"corresponding_institution_ids":["https://openalex.org/I154425047","https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.17021388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.8050326704978943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7949495315551758},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7906572818756104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348310947418213},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5698893666267395},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.4996786117553711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49595269560813904},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49327176809310913},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.4710618853569031},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.433448851108551}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8050326704978943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7949495315551758},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7906572818756104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348310947418213},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5698893666267395},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.4996786117553711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49595269560813904},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49327176809310913},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.4710618853569031},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.433448851108551},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2007.4409210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W85103767","https://openalex.org/W165571211","https://openalex.org/W1555124498","https://openalex.org/W1598256617","https://openalex.org/W1971352099","https://openalex.org/W1976689962","https://openalex.org/W2006404962","https://openalex.org/W2009739514","https://openalex.org/W2025160301","https://openalex.org/W2069281566","https://openalex.org/W2079721233","https://openalex.org/W2080784679","https://openalex.org/W2097323414","https://openalex.org/W2100992603","https://openalex.org/W2105254225","https://openalex.org/W2115396644","https://openalex.org/W2117662730","https://openalex.org/W2118620951","https://openalex.org/W2119848854","https://openalex.org/W2123958071","https://openalex.org/W2128808494","https://openalex.org/W2128926607","https://openalex.org/W2130028253","https://openalex.org/W2131213052","https://openalex.org/W2132653682","https://openalex.org/W2133251749","https://openalex.org/W2134774992","https://openalex.org/W2144256191","https://openalex.org/W2145576864","https://openalex.org/W2153777142","https://openalex.org/W2158055399","https://openalex.org/W2160204468","https://openalex.org/W2165723554","https://openalex.org/W2170288257","https://openalex.org/W2171647728","https://openalex.org/W2244684328","https://openalex.org/W2293436114","https://openalex.org/W2317508858","https://openalex.org/W2491435712","https://openalex.org/W3151712549","https://openalex.org/W4212824316","https://openalex.org/W4236229596","https://openalex.org/W4236827296","https://openalex.org/W4236986889","https://openalex.org/W4321466059","https://openalex.org/W6603582654","https://openalex.org/W6633206347","https://openalex.org/W6635882326","https://openalex.org/W6653194670","https://openalex.org/W6699241352"],"related_works":["https://openalex.org/W2733233723","https://openalex.org/W2625093041","https://openalex.org/W3120218437","https://openalex.org/W3211387963","https://openalex.org/W2787271994","https://openalex.org/W3031737451","https://openalex.org/W2890853391","https://openalex.org/W3009327912","https://openalex.org/W2390497845","https://openalex.org/W2393933564"],"abstract_inverted_index":{"In":[0,79],"this":[1,80],"work":[2],"we":[3],"discuss":[4],"an":[5],"efficient":[6],"strategy":[7],"for":[8,33,46,130],"combining":[9],"multiple":[10,34,52],"panoramic":[11],"scans":[12,53],"of":[13,54,91,101,112],"the":[14,55,59,75,83,95,107],"same":[15,56],"scene":[16,57,93],"to":[17,87,105,123],"create":[18,39],"a":[19,40,92,99,113],"single":[20,114],"higher":[21],"contrast":[22,111,128],"image.":[23,116],"Prior":[24],"research":[25],"papers":[26],"mainly":[27],"consider":[28,51],"that":[29],"precise":[30],"exposure":[31,60],"times":[32,61],"images":[35,102,132],"are":[36,62,72,119,133,137],"known":[37],"and":[38,65,121,142],"new":[41],"high":[42],"dynamic":[43],"range":[44],"representation":[45],"each":[47],"pixel.":[48],"We":[49],"simply":[50],"where":[58],"not":[63],"known,":[64],"no":[66],"special":[67],"filters":[68],"or":[69,110],"image":[70,76,97,143],"detectors":[71],"used":[73],"in":[74,103],"acquisition":[77],"process.":[78],"unrestricted":[81],"scenario,":[82],"problem":[84],"is":[85],"how":[86],"select":[88],"different":[89],"parts":[90],"from":[94],"\"best\"":[96],"among":[98],"collection":[100],"order":[104],"optimize":[106],"overall":[108],"clarity":[109],"final":[115],"Experimental":[117],"results":[118,125,136],"shown,":[120],"steps":[122],"improve":[124],"using":[126,139],"modified":[127],"measures":[129],"color":[131],"described.":[134],"The":[135],"enhanced":[138],"morphological":[140],"filtering":[141],"blending.":[144]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}