{"id":"https://openalex.org/W2628535015","doi":"https://doi.org/10.1109/icassp.2017.7953025","title":"Hyperspectral image restoration by Hybrid Spatio-Spectral Total Variation","display_name":"Hyperspectral image restoration by Hybrid Spatio-Spectral Total Variation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2628535015","doi":"https://doi.org/10.1109/icassp.2017.7953025","mag":"2628535015"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5073256619","display_name":"Saori Takeyama","orcid":"https://orcid.org/0000-0002-8282-2491"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Saori Takeyama","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040341698","display_name":"Shunsuke Ono","orcid":"https://orcid.org/0000-0001-7890-5131"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Ono","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024015306","display_name":"Itsuo Kumazawa","orcid":"https://orcid.org/0000-0002-5409-2727"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Itsuo Kumazawa","raw_affiliation_strings":["Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073256619"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":4.0817,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94279628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4586","last_page":"4590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9993000030517578,"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":0.8488045930862427},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.711044430732727},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5629920363426208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5082671046257019},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.44725918769836426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4269174039363861},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.423494815826416},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.4193785786628723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4097535014152527},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3732050061225891},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3605785369873047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34273695945739746},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24793049693107605},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07498490810394287}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8488045930862427},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.711044430732727},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5629920363426208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5082671046257019},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.44725918769836426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4269174039363861},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.423494815826416},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.4193785786628723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4097535014152527},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3732050061225891},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3605785369873047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34273695945739746},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24793049693107605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07498490810394287},{"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1532610010","https://openalex.org/W1587448943","https://openalex.org/W1667895010","https://openalex.org/W1895161527","https://openalex.org/W1946620893","https://openalex.org/W1974438823","https://openalex.org/W1986312779","https://openalex.org/W1994040806","https://openalex.org/W1998991750","https://openalex.org/W2007437458","https://openalex.org/W2014823423","https://openalex.org/W2039596145","https://openalex.org/W2045079045","https://openalex.org/W2049189005","https://openalex.org/W2058300393","https://openalex.org/W2058532290","https://openalex.org/W2079319869","https://openalex.org/W2092663520","https://openalex.org/W2104266187","https://openalex.org/W2119667497","https://openalex.org/W2123031198","https://openalex.org/W2131697388","https://openalex.org/W2161073299","https://openalex.org/W2289756263","https://openalex.org/W2396831964","https://openalex.org/W2407243232","https://openalex.org/W2594827121","https://openalex.org/W2765202580","https://openalex.org/W3103883263","https://openalex.org/W3106359998","https://openalex.org/W4246327874","https://openalex.org/W4292363360","https://openalex.org/W6696154520","https://openalex.org/W6732489231","https://openalex.org/W6745193812"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W2344001031","https://openalex.org/W2303132117","https://openalex.org/W1602455006","https://openalex.org/W1605636162","https://openalex.org/W2756378021","https://openalex.org/W2390285263","https://openalex.org/W1983047266","https://openalex.org/W1539611277","https://openalex.org/W2006843870"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,32],"new":[3],"regularization":[4,18,88],"technique,":[5],"named":[6],"Hybrid":[7],"Spatio-Spectral":[8],"Total":[9],"Variation":[10],"(HSSTV),":[11],"for":[12,20,36,92],"hyperspectral":[13],"image":[14],"(HSI)":[15],"restoration.":[16,38,94],"Popular":[17],"techniques":[19],"HSIs":[21],"are":[22,51],"total":[23],"variation":[24],"functions":[25],"(TV),":[26],"and":[27,47,103],"there":[28],"have":[29],"been":[30],"proposed":[31,65],"variety":[33],"of":[34,55,77,80,136,143],"TVs":[35,91],"HSI":[37,93],"However,":[39],"they":[40,58],"do":[41],"not":[42],"fully":[43],"exploit":[44],"both":[45],"spatial":[46],"spectral":[48],"smoothness,":[49],"which":[50],"the":[52,71,104,131,141],"underlying":[53],"properties":[54,73],"HSIs,":[56],"and/or":[57],"result":[59],"in":[60],"computationally":[61],"expensive":[62],"optimization.":[63],"Our":[64],"HSSTV":[66,95,144],"is":[67,96],"designed":[68],"to":[69,84],"evaluate":[70],"two":[72,75],"via":[74],"types":[76],"discrete":[78,100],"differences":[79],"an":[81],"HSI,":[82],"leading":[83],"much":[85],"more":[86],"effective":[87],"than":[89],"existing":[90],"defined":[97],"with":[98],"local":[99],"difference":[101],"operators":[102],"\u2113":[105,110],"<sub":[106,111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[107,112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[108],"/mixed":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1,2</sub>":[113],"norm,":[114],"so":[115],"that":[116],"optimization":[117],"problems":[118],"involving":[119],"it":[120],"can":[121],"be":[122],"efficiently":[123],"solved":[124],"by":[125],"proximal":[126],"splitting":[127],"methods,":[128],"such":[129],"as":[130],"so-called":[132],"alternating":[133],"direction":[134],"method":[135],"multipliers.":[137],"Experimental":[138],"results":[139],"illustrate":[140],"advantages":[142],"over":[145],"state-of-the-art":[146],"methods.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}