{"id":"https://openalex.org/W2066218357","doi":"https://doi.org/10.1109/ccnc.2010.5421736","title":"Fast and High-Quality Image Blending on Mobile Phones","display_name":"Fast and High-Quality Image Blending on Mobile Phones","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2066218357","doi":"https://doi.org/10.1109/ccnc.2010.5421736","mag":"2066218357"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2010.5421736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2010.5421736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th IEEE Consumer Communications and Networking Conference","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/A5100867303","display_name":"Yingen Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]},{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yingen Xiong","raw_affiliation_strings":["Nokia Research Center, Palo Alto, CA, USA","Nokia Research Center., Palo Alto, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Research Center., Palo Alto, CA#TAB#","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110266324","display_name":"Kari Pulli","orcid":null},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]},{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kari Pulli","raw_affiliation_strings":["Nokia Research Center, Palo Alto, CA, USA","Nokia Research Center., Palo Alto, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]},{"raw_affiliation_string":"Nokia Research Center., Palo Alto, CA#TAB#","institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100867303"],"corresponding_institution_ids":["https://openalex.org/I173498003","https://openalex.org/I72090969"],"apc_list":null,"apc_paid":null,"fwci":0.9561,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77292349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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/image-stitching","display_name":"Image stitching","score":0.8906973600387573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8045899868011475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702199816703796},{"id":"https://openalex.org/keywords/panorama","display_name":"Panorama","score":0.7494333386421204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7420058846473694},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6602654457092285},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.5227230191230774},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5179997086524963},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5145458579063416},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4441388249397278},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43372684717178345},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.43283510208129883},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35781314969062805},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3057886064052582},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2763354778289795}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.8906973600387573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8045899868011475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702199816703796},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.7494333386421204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7420058846473694},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6602654457092285},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.5227230191230774},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5179997086524963},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5145458579063416},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4441388249397278},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43372684717178345},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.43283510208129883},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35781314969062805},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3057886064052582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2763354778289795},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2010.5421736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2010.5421736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th IEEE Consumer Communications and Networking Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W52268484","https://openalex.org/W1755572302","https://openalex.org/W1972809466","https://openalex.org/W1999360130","https://openalex.org/W2001933992","https://openalex.org/W2052003757","https://openalex.org/W2070604790","https://openalex.org/W2090267299","https://openalex.org/W2111237022","https://openalex.org/W2130415170","https://openalex.org/W2131429735","https://openalex.org/W2150332204","https://openalex.org/W2157189144","https://openalex.org/W2168553313","https://openalex.org/W2997095758","https://openalex.org/W4232395487","https://openalex.org/W6679522395"],"related_works":["https://openalex.org/W2371409747","https://openalex.org/W2005176409","https://openalex.org/W2427590251","https://openalex.org/W2070701622","https://openalex.org/W1943330140","https://openalex.org/W2142165007","https://openalex.org/W4387896115","https://openalex.org/W2349684670","https://openalex.org/W2800143143","https://openalex.org/W2043528452"],"abstract_inverted_index":{"We":[0,106],"present":[1],"a":[2,22,102,185],"fast":[3,40,86,179],"and":[4,12,31,47,57,88,91,109,136,146,158,164,181,202,219],"high-quality":[5,13],"image":[6,41,50,154,172],"stitching":[7,25,188],"approach":[8,120],"for":[9,34,43,52,85,101,211],"creating":[10],"high-resolution":[11,193],"panoramic":[14,194],"images":[15,78,94,195,199],"on":[16],"mobile":[17,122,212],"devices.":[18],"In":[19],"the":[20,63,92,116,143,169],"approach,":[21],"sequential":[23,186],"panorama":[24,123,187],"procedure":[26,189],"is":[27,60,131],"created":[28],"with":[29,111,196],"color":[30,56,66,135,177],"luminance":[32,58,137,159],"compensation":[33,59,138],"reducing":[35],"differences":[36],"between":[37,75,161],"source":[38,77,93,162,198],"images,":[39,163],"labeling":[42],"optimal":[44,73],"seam":[45],"finding,":[46],"gradient":[48],"domain":[49],"blending":[51,100,104,141,144,151,183],"transition":[53],"smoothing.":[54],"The":[55,125,174],"performed":[61],"in":[62,121,152],"gamma-corrected":[64],"sRGB":[65],"space":[67],"to":[68,114],"avoid":[69],"pixel":[70],"saturation":[71],"problems,":[72],"seams":[74],"adjacent":[76],"are":[79,95,207],"found":[80],"by":[81,98],"dynamic":[82],"programming":[83],"optimization":[84],"speed":[87,148],"less":[89,204],"memory,":[90],"blended":[96],"together":[97],"Poisson":[99,140,150,182],"high":[103],"quality.":[105],"compare":[107],"results":[108],"performance":[110],"other":[112],"approaches":[113],"demonstrate":[115],"advantages":[117],"of":[118,128,149,171,176,192],"our":[119],"applications.":[124],"main":[126],"contribution":[127],"this":[129],"work":[130],"studying":[132],"how":[133,165],"applying":[134],"before":[139],"improves":[142,168],"quality":[145,170],"processing":[147],"long":[153],"sequences":[155],"where":[156],"colors":[157],"vary":[160],"it":[166],"also":[167],"labeling.":[173],"integration":[175],"correction,":[178],"labeling,":[180],"into":[184],"allows":[190],"creation":[191],"large":[197],"more":[200],"quickly":[201],"using":[203],"memory.":[205],"These":[206],"very":[208],"important":[209],"aspects":[210],"devices":[213],"that":[214],"have":[215],"limited":[216],"computational":[217],"power":[218],"memory":[220],"resources.":[221]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"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"}
