{"id":"https://openalex.org/W2395230173","doi":"https://doi.org/10.1109/icassp.2016.7471872","title":"High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix","display_name":"High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2395230173","doi":"https://doi.org/10.1109/icassp.2016.7471872","mag":"2395230173"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471872","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 Acoustics, Speech and Signal Processing (ICASSP)","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/A5056081738","display_name":"Chul Lee","orcid":"https://orcid.org/0000-0001-9329-7365"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chul Lee","raw_affiliation_strings":["Department of Computer Engineering, Pukyong National University, Busan, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pukyong National University, Busan, Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008832723","display_name":"Edmund Y. Lam","orcid":"https://orcid.org/0000-0001-6268-950X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edmund Y. Lam","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056081738"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64603017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1229","last_page":"1233"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.8224912881851196},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.7421432733535767},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.6415377259254456},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6367584466934204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054744720458984},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5825816988945007},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.5714749097824097},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5050321221351624},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5025882720947266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4840911626815796},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4830813705921173},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4629806578159332},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.45927152037620544},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41973876953125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41298648715019226},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4112623631954193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38835611939430237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3764261305332184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2873755097389221},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06788724660873413}],"concepts":[{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.8224912881851196},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.7421432733535767},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.6415377259254456},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6367584466934204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054744720458984},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5825816988945007},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.5714749097824097},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5050321221351624},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5025882720947266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4840911626815796},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4830813705921173},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4629806578159332},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.45927152037620544},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41973876953125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41298648715019226},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4112623631954193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38835611939430237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3764261305332184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2873755097389221},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06788724660873413},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471872","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 Acoustics, Speech and Signal Processing (ICASSP)","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":28,"referenced_works":["https://openalex.org/W1487619332","https://openalex.org/W1505723240","https://openalex.org/W1527870538","https://openalex.org/W1736339626","https://openalex.org/W1969698720","https://openalex.org/W1998393535","https://openalex.org/W2009702064","https://openalex.org/W2013980527","https://openalex.org/W2027387938","https://openalex.org/W2028372063","https://openalex.org/W2054927225","https://openalex.org/W2069281566","https://openalex.org/W2080701608","https://openalex.org/W2125655865","https://openalex.org/W2130724993","https://openalex.org/W2134332047","https://openalex.org/W2163710755","https://openalex.org/W2462232592","https://openalex.org/W2611328865","https://openalex.org/W3012080241","https://openalex.org/W3142504410","https://openalex.org/W4236229596","https://openalex.org/W4285719527","https://openalex.org/W4301014524","https://openalex.org/W6629198203","https://openalex.org/W6719055290","https://openalex.org/W6775638715","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2964006653","https://openalex.org/W2788826952","https://openalex.org/W2084983808","https://openalex.org/W1991825408","https://openalex.org/W4318564253","https://openalex.org/W4302315572","https://openalex.org/W1969698720","https://openalex.org/W1507830821","https://openalex.org/W2325477568","https://openalex.org/W2963965423"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,12,36],"ghost-free":[3,32],"high":[4],"dynamic":[5,26],"range":[6,27],"(HDR)":[7],"image":[8,68,80],"synthesis":[9],"algorithm":[10,74],"using":[11],"rank":[13],"minimization":[14],"framework.":[15],"Based":[16],"on":[17,66],"the":[18,50,57,72],"linear":[19],"dependency":[20],"among":[21],"irradiance":[22],"maps":[23],"from":[24],"low":[25],"(LDR)":[28],"images,":[29],"we":[30],"formulate":[31],"HDR":[33],"imaging":[34],"as":[35],"low-rank":[37],"matrix":[38],"completion":[39],"problem.":[40],"The":[41],"main":[42],"contribution":[43],"is":[44],"to":[45],"solve":[46],"it":[47],"efficiently":[48],"via":[49],"augmented":[51],"Lagrange":[52],"multiplier":[53],"(ALM)":[54],"method,":[55],"where":[56],"optimization":[58],"variables":[59],"are":[60],"updated":[61],"by":[62],"closed-form":[63],"solutions.":[64],"Experiments":[65],"real":[67],"sets":[69],"show":[70],"that":[71],"proposed":[73],"provides":[75],"comparable":[76],"or":[77],"even":[78],"better":[79],"qualities":[81],"than":[82],"state-of-the-art":[83],"approaches,":[84],"while":[85],"demanding":[86],"lower":[87],"computational":[88],"resources.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
