{"id":"https://openalex.org/W2017834485","doi":"https://doi.org/10.1109/tip.2014.2376273","title":"Total Variation Regularization via Continuation to Recover Compressed Hyperspectral Images","display_name":"Total Variation Regularization via Continuation to Recover Compressed Hyperspectral Images","publication_year":2014,"publication_date":"2014-11-26","ids":{"openalex":"https://openalex.org/W2017834485","doi":"https://doi.org/10.1109/tip.2014.2376273","mag":"2017834485","pmid":"https://pubmed.ncbi.nlm.nih.gov/25438319"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2376273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2376273","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5080107853","display_name":"Duncan Eason","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Duncan T. Eason","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand","Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand;","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032116874","display_name":"Mark Andrews","orcid":"https://orcid.org/0000-0002-5422-9252"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mark Andrews","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand","Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand;","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":1.5594,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.8112781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"284","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9979000091552734,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9054850339889526},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.7396819591522217},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.6083543300628662},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5700660347938538},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5569818615913391},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5408926010131836},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.483536958694458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4804741442203522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47278261184692383},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.47034528851509094},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4445186257362366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.434059739112854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4239233136177063},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4140182137489319},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38132035732269287},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.26588717103004456},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25649189949035645},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.12463432550430298}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9054850339889526},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.7396819591522217},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.6083543300628662},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5700660347938538},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5569818615913391},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5408926010131836},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.483536958694458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4804741442203522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47278261184692383},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.47034528851509094},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4445186257362366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.434059739112854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239233136177063},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4140182137489319},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38132035732269287},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.26588717103004456},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25649189949035645},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.12463432550430298},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2376273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2376273","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25438319","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25438319","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W59557121","https://openalex.org/W67772112","https://openalex.org/W1516946235","https://openalex.org/W1546108826","https://openalex.org/W2008571296","https://openalex.org/W2010286849","https://openalex.org/W2016384870","https://openalex.org/W2023722580","https://openalex.org/W2024147052","https://openalex.org/W2042436931","https://openalex.org/W2053244731","https://openalex.org/W2075394305","https://openalex.org/W2087148018","https://openalex.org/W2091397530","https://openalex.org/W2098841537","https://openalex.org/W2104266187","https://openalex.org/W2109449402","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2142058898","https://openalex.org/W2145096794","https://openalex.org/W2146857427","https://openalex.org/W2164452299","https://openalex.org/W2296319761","https://openalex.org/W2624936159","https://openalex.org/W2803670972","https://openalex.org/W3124114587","https://openalex.org/W3125195138","https://openalex.org/W3212896302","https://openalex.org/W4249667877","https://openalex.org/W4250589301","https://openalex.org/W4254313632","https://openalex.org/W4285719527","https://openalex.org/W6602486194","https://openalex.org/W6630961425","https://openalex.org/W6632588127","https://openalex.org/W6674632333","https://openalex.org/W6739849564"],"related_works":["https://openalex.org/W2359120930","https://openalex.org/W2037613239","https://openalex.org/W2781777036","https://openalex.org/W2390469630","https://openalex.org/W3084689723","https://openalex.org/W2140018151","https://openalex.org/W3161275408","https://openalex.org/W3088056528","https://openalex.org/W2811183536","https://openalex.org/W4312559935"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"investigate":[4],"a":[5,25,32],"low-complexity":[6],"scheme":[7,50],"for":[8,93],"decoding":[9],"compressed":[10,119],"hyperspectral":[11,77,120],"image":[12,121],"data.":[13],"We":[14,68],"have":[15,106],"exploited":[16],"the":[17,20,43,62,81,84,88,103,107,111,117],"simplicity":[18],"of":[19,64,83,90,116],"subgradient":[21],"method":[22,92],"by":[23,55],"modifying":[24],"total":[26],"variation-based":[27],"regularization":[28],"problem":[29,47],"to":[30,39,60,79,109],"include":[31],"residual":[33],"constraint,":[34],"employing":[35],"convex":[36],"optimality":[37],"conditions":[38],"provide":[40],"equivalency":[41],"between":[42],"original":[44],"and":[45,75,87,113],"reformed":[46],"statements.":[48],"A":[49],"that":[51,102],"utilizes":[52],"spectral":[53,95],"smoothness":[54],"calculating":[56],"informed":[57],"starting":[58],"points":[59],"improve":[61,110],"rate":[63],"convergence":[65],"is":[66],"introduced.":[67],"conduct":[69],"numerical":[70],"experiments,":[71],"using":[72],"both":[73],"synthetic":[74],"real":[76],"data,":[78],"demonstrate":[80],"effectiveness":[82],"reconstruction":[85],"algorithm":[86],"validity":[89],"our":[91],"exploiting":[94],"smoothness.":[96],"Evidence":[97],"from":[98],"these":[99],"experiments":[100],"suggests":[101],"proposed":[104],"methods":[105],"potential":[108],"quality":[112],"run":[114],"times":[115],"future":[118],"reconstructions.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}