{"id":"https://openalex.org/W1983503612","doi":"https://doi.org/10.1109/aipr.2014.7041929","title":"Entropy metric regularization for computational imaging with sensor arrays","display_name":"Entropy metric regularization for computational imaging with sensor arrays","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1983503612","doi":"https://doi.org/10.1109/aipr.2014.7041929","mag":"1983503612"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2014.7041929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2014.7041929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5110051383","display_name":"Prudhvi Gurram","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prudhvi Gurram","raw_affiliation_strings":["RDRL-SES-E, Army Research Laboratory, Adelphi, MD","c/o ARL, RDRL-SES-E, MBO Partners Inc., Adelphi, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RDRL-SES-E, Army Research Laboratory, Adelphi, MD","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"c/o ARL, RDRL-SES-E, MBO Partners Inc., Adelphi, MD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075151572","display_name":"Raghuveer Rao","orcid":"https://orcid.org/0000-0001-6481-4175"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghuveer Rao","raw_affiliation_strings":["RDRL-SES-E, Army Research Laboratory, Adelphi, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RDRL-SES-E, Army Research Laboratory, Adelphi, MD","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166416128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06801681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9103","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6710349321365356},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5944921374320984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258748531341553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5141268372535706},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.44702860713005066},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4342171549797058},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4158722162246704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35593950748443604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35081595182418823},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3499763011932373},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16437387466430664},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1260983645915985},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10659793019294739}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6710349321365356},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5944921374320984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258748531341553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5141268372535706},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.44702860713005066},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4342171549797058},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4158722162246704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35593950748443604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35081595182418823},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3499763011932373},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16437387466430664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1260983645915985},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10659793019294739},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2014.7041929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2014.7041929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1989834749","https://openalex.org/W2001611939","https://openalex.org/W2039663052","https://openalex.org/W2112727660","https://openalex.org/W2135046866","https://openalex.org/W2138013230","https://openalex.org/W2143163931","https://openalex.org/W2168753949","https://openalex.org/W6650987904","https://openalex.org/W6684930249"],"related_works":["https://openalex.org/W1988809445","https://openalex.org/W2112026144","https://openalex.org/W2045753504","https://openalex.org/W2016541458","https://openalex.org/W4248877799","https://openalex.org/W2180015210","https://openalex.org/W2128409859","https://openalex.org/W2102036934","https://openalex.org/W4249003478","https://openalex.org/W2045227467"],"abstract_inverted_index":{"Correlative":[0],"interferometric":[1,137],"image":[2],"reconstruction":[3],"is":[4,40,54,80,86],"a":[5,56],"computational":[6],"imaging":[7,138],"approach":[8,39],"for":[9],"synthesizing":[10],"images":[11],"from":[12,21,29],"sensor":[13],"arrays":[14],"and":[15,48,70,99,115,144,153],"relies":[16],"on":[17],"estimating":[18],"source":[19,50,69],"intensity":[20],"the":[22,33,38,41,46,49,61,65,68,71,77,83,112,117,147],"cross-correlation":[23],"across":[24],"near-field":[25],"or":[26,129],"far-field":[27,66,136],"measurements":[28],"multiple":[30],"sensors":[31,62],"of":[32,43,55,67,73,92,139,149],"arrays.":[34],"Key":[35],"to":[36],"using":[37],"exploitation":[42],"relationship":[44,53],"between":[45],"correlation":[47],"intensity.":[51],"This":[52,109],"Fourier":[57],"transform":[58],"type":[59],"when":[60],"are":[63,142,156],"in":[64,76,89,106],"velocity":[72],"wave":[74],"propagation":[75],"intervening":[78],"medium":[79],"constant.":[81],"Often":[82],"estimation":[84,118],"problem":[85,119],"ill-posed":[87],"resulting":[88],"unrealistic":[90],"reconstructions":[91],"images.":[93],"Positivity":[94],"constraints,":[95],"boundary":[96],"restrictions,":[97],"\u21131regularization,":[98],"sparsity":[100],"constrained":[101],"optimization":[102],"have":[103],"been":[104],"applied":[105],"previous":[107],"work.":[108],"paper":[110],"considers":[111],"noisy":[113],"case":[114],"formulates":[116],"as":[120,131],"least":[121],"squares":[122],"minimization":[123],"with":[124],"entropy":[125,151],"metrics,":[126],"either":[127],"minimum":[128],"maximum,":[130],"regularization":[132],"terms.":[133],"Situations":[134],"involving":[135],"extended":[140],"sources":[141],"considered":[143],"results":[145],"illustrating":[146],"advantages":[148],"these":[150],"metrics":[152],"their":[154],"applicability":[155],"provided.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
