{"id":"https://openalex.org/W2514447582","doi":"https://doi.org/10.1109/icip.2016.7533012","title":"Bounded sparse photon-limited image recovery","display_name":"Bounded sparse photon-limited image recovery","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2514447582","doi":"https://doi.org/10.1109/icip.2016.7533012","mag":"2514447582"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533012","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/A5003506092","display_name":"Lasith Adhikari","orcid":"https://orcid.org/0000-0002-3252-8972"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lasith Adhikari","raw_affiliation_strings":["Department of Applied Mathematics, University of California, Merced, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005703929","display_name":"Roummel F. Marcia","orcid":"https://orcid.org/0000-0001-6838-140X"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roummel F. Marcia","raw_affiliation_strings":["Department of Applied Mathematics, University of California, Merced, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"3508","last_page":"3512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.847320556640625},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5504912734031677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5184745192527771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.516242504119873},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5040544271469116},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5036594271659851},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.49265366792678833},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.44533494114875793},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4221193492412567},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.42046689987182617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40662747621536255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3882899880409241},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.3783334791660309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3638620972633362},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21820080280303955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13243025541305542},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08640894293785095}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.847320556640625},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5504912734031677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184745192527771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.516242504119873},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5040544271469116},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5036594271659851},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.49265366792678833},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44533494114875793},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4221193492412567},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.42046689987182617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40662747621536255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3882899880409241},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3783334791660309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3638620972633362},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21820080280303955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13243025541305542},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08640894293785095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533012","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":[{"score":0.5799999833106995,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1586180564","https://openalex.org/W1989489564","https://openalex.org/W2004486677","https://openalex.org/W2008096876","https://openalex.org/W2016052416","https://openalex.org/W2016482047","https://openalex.org/W2026626371","https://openalex.org/W2050892949","https://openalex.org/W2060331468","https://openalex.org/W2071293364","https://openalex.org/W2076605490","https://openalex.org/W2087714402","https://openalex.org/W2126607811","https://openalex.org/W2135236030","https://openalex.org/W2141593899","https://openalex.org/W2142573532","https://openalex.org/W2147068866","https://openalex.org/W2148791483","https://openalex.org/W2154679219","https://openalex.org/W2296319761","https://openalex.org/W2996966734","https://openalex.org/W3106237033","https://openalex.org/W3121742466","https://openalex.org/W3216100919","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960","https://openalex.org/W2594717635"],"abstract_inverted_index":{"In":[0,53],"photon-limited":[1,92],"image":[2],"reconstruction,":[3],"the":[4,9,22,33,62,96,106,109],"behavior":[5],"of":[6,25,64,98,108],"noise":[7],"at":[8],"detector":[10],"end":[11],"is":[12,51,66],"more":[13,36],"accurately":[14],"modeled":[15],"as":[16],"a":[17,26,38,47,78,90],"Poisson":[18,41],"point":[19],"process":[20],"than":[21],"common":[23],"choice":[24],"Gaussian":[27],"distribution.":[28],"As":[29],"such,":[30],"to":[31],"recover":[32],"original":[34],"signal":[35,63],"accurately,":[37],"penalized":[39],"negative":[40],"log-likelihood":[42],"function":[43,49],"-":[44,50],"and":[45,72,100],"not":[46],"least-squares":[48],"minimized.":[52],"many":[54],"applications,":[55],"including":[56],"medical":[57],"imaging,":[58],"additional":[59],"information":[60,88],"on":[61,112],"interest":[65],"often":[67],"available.":[68],"Specifically,":[69],"its":[70],"maximum":[71],"minimum":[73],"amplitudes":[74],"might":[75],"be":[76],"known":[77],"priori.":[79],"This":[80],"paper":[81],"describes":[82],"an":[83],"approach":[84,111],"that":[85],"incorporates":[86],"this":[87],"into":[89],"sparse":[91],"recovery":[93],"method":[94],"by":[95],"inclusion":[97],"upper":[99],"lower":[101],"bound":[102],"constraints.":[103],"We":[104],"demonstrate":[105],"effectiveness":[107],"proposed":[110],"two":[113],"different":[114],"low-light":[115],"deblurring":[116],"examples.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
