{"id":"https://openalex.org/W2515752024","doi":"https://doi.org/10.1109/icip.2016.7532658","title":"Hand-held low-light photography with exposure bracketing","display_name":"Hand-held low-light photography with exposure bracketing","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515752024","doi":"https://doi.org/10.1109/icip.2016.7532658","mag":"2515752024"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5048910045","display_name":"M. Arun","orcid":"https://orcid.org/0000-0002-7860-8230"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Arun","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033832521","display_name":"A. N. Rajagopalan","orcid":"https://orcid.org/0000-0002-0006-6961"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.N. Rajagopalan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53104679,"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":"1749","last_page":"1753"},"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/T11105","display_name":"Advanced Image Processing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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/computer-vision","display_name":"Computer vision","score":0.7726953029632568},{"id":"https://openalex.org/keywords/bracketing","display_name":"Bracketing (phenomenology)","score":0.7477855682373047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7299094796180725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907080411911011},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.6024851202964783},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.5785623788833618},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5169129371643066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5075424909591675},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5074118971824646},{"id":"https://openalex.org/keywords/latent-image","display_name":"Latent image","score":0.43399786949157715},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25759071111679077},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.24048131704330444},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.11119392514228821}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7726953029632568},{"id":"https://openalex.org/C102944935","wikidata":"https://www.wikidata.org/wiki/Q4953701","display_name":"Bracketing (phenomenology)","level":2,"score":0.7477855682373047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7299094796180725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907080411911011},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.6024851202964783},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.5785623788833618},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5169129371643066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5075424909591675},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5074118971824646},{"id":"https://openalex.org/C205372313","wikidata":"https://www.wikidata.org/wiki/Q355645","display_name":"Latent image","level":3,"score":0.43399786949157715},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25759071111679077},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.24048131704330444},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.11119392514228821},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1984541194","https://openalex.org/W1994152568","https://openalex.org/W1995956214","https://openalex.org/W2023827232","https://openalex.org/W2043529138","https://openalex.org/W2044713151","https://openalex.org/W2056370875","https://openalex.org/W2066876015","https://openalex.org/W2069281566","https://openalex.org/W2099324980","https://openalex.org/W2099770336","https://openalex.org/W2101309634","https://openalex.org/W2113137767","https://openalex.org/W2121689659","https://openalex.org/W2138204001","https://openalex.org/W2140617750","https://openalex.org/W2143516773","https://openalex.org/W2164278908","https://openalex.org/W2166576327","https://openalex.org/W2167307343","https://openalex.org/W2170069058","https://openalex.org/W2170950194","https://openalex.org/W2242047952","https://openalex.org/W2997077506","https://openalex.org/W3137059050","https://openalex.org/W4236229596","https://openalex.org/W4236771684","https://openalex.org/W4292363360","https://openalex.org/W6675016688","https://openalex.org/W6680826872","https://openalex.org/W6684184351"],"related_works":["https://openalex.org/W2361248577","https://openalex.org/W1488774438","https://openalex.org/W2804670141","https://openalex.org/W2994735104","https://openalex.org/W2027349390","https://openalex.org/W1983639621","https://openalex.org/W2188751381","https://openalex.org/W2322492415","https://openalex.org/W1988828630","https://openalex.org/W3023067860"],"abstract_inverted_index":{"Taking":[0],"good":[1],"photos":[2],"in":[3,100],"low-light":[4],"conditions":[5],"using":[6,30],"a":[7,18,22,37,44,70,75],"smart-phone":[8],"camera":[9,39],"is":[10],"quite":[11],"challenging.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"propose":[17],"method":[19],"to":[20],"produce":[21],"sharp":[23,63],"well-exposed":[24],"image":[25,65],"under":[26],"dim":[27],"light":[28],"scenarios":[29],"exposure":[31],"bracketing.":[32],"These":[33],"images":[34,52],"captured":[35],"from":[36,69,79],"hand-held":[38],"can":[40,89,106],"be":[41,90],"viewed":[42],"as":[43],"set":[45],"of":[46],"blurred":[47],"(high":[48],"exposure)":[49],"and":[50,66,113],"noisy":[51,81],"(low":[53],"exposure).":[54],"We":[55,83],"first":[56],"describe":[57],"an":[58],"algorithm":[59],"for":[60,92,109],"estimating":[61],"the":[62,80,94],"latent":[64],"depth":[67,111],"map":[68],"noisy-blurred":[71],"pair":[72],"by":[73],"employing":[74],"gradient":[76],"prior":[77],"derived":[78],"image.":[82],"also":[84],"show":[85],"how":[86],"our":[87],"approach":[88],"extended":[91],"extracting":[93],"high":[95],"dynamic":[96],"range":[97],"information":[98],"embedded":[99],"differently":[101],"exposed":[102],"images.":[103],"Our":[104],"framework":[105],"comfortably":[107],"account":[108],"mis-alignments,":[110],"variations":[112],"space-variant":[114],"blurring.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}