{"id":"https://openalex.org/W3090018628","doi":"https://doi.org/10.1109/icip40778.2020.9190686","title":"Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain","display_name":"Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090018628","doi":"https://doi.org/10.1109/icip40778.2020.9190686","mag":"3090018628"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5029545056","display_name":"Praveen Kumar Pokala","orcid":"https://orcid.org/0000-0001-5513-5891"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Praveen Kumar Pokala","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005030533","display_name":"Satvik Chemudupati","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satvik Chemudupati","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029545056"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.1796,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47737563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"2875","last_page":"2879"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8409386873245239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6249549388885498},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5467868447303772},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.46189084649086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45723897218704224},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44190162420272827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4391123652458191},{"id":"https://openalex.org/keywords/iteratively-reweighted-least-squares","display_name":"Iteratively reweighted least squares","score":0.43465274572372437},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43052491545677185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3817274570465088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34943193197250366},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.30296093225479126},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15264037251472473},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.13240265846252441}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8409386873245239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6249549388885498},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5467868447303772},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.46189084649086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45723897218704224},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44190162420272827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4391123652458191},{"id":"https://openalex.org/C126090379","wikidata":"https://www.wikidata.org/wiki/Q6094424","display_name":"Iteratively reweighted least squares","level":4,"score":0.43465274572372437},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43052491545677185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3817274570465088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34943193197250366},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30296093225479126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15264037251472473},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.13240265846252441},{"id":"https://openalex.org/C45923927","wikidata":"https://www.wikidata.org/wiki/Q3319230","display_name":"Non-linear least squares","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip40778.2020.9190686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:67729","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1975377467","https://openalex.org/W1997301483","https://openalex.org/W2001249946","https://openalex.org/W2065234731","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2107844156","https://openalex.org/W2107861471","https://openalex.org/W2119667497","https://openalex.org/W2124348301","https://openalex.org/W2145096794","https://openalex.org/W2148232185","https://openalex.org/W2164278908","https://openalex.org/W2167577940","https://openalex.org/W2168668658","https://openalex.org/W2296616510","https://openalex.org/W2339684922","https://openalex.org/W2620850570","https://openalex.org/W2901790120","https://openalex.org/W2942199805","https://openalex.org/W2963103052","https://openalex.org/W2963334250","https://openalex.org/W2963793388","https://openalex.org/W2968320779","https://openalex.org/W2998746225","https://openalex.org/W3103921058","https://openalex.org/W4250955649","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W9997782","https://openalex.org/W1728484","https://openalex.org/W6973286","https://openalex.org/W4919037","https://openalex.org/W3792775","https://openalex.org/W11417532","https://openalex.org/W1383182","https://openalex.org/W3928324","https://openalex.org/W1998914","https://openalex.org/W8707594"],"abstract_inverted_index":{"We":[0,18,98,121],"present":[1],"a":[2,20,136],"new":[3],"method":[4],"for":[5,26,30,93,125,131,143],"fast":[6,111,115],"magnetic":[7],"resonance":[8],"image":[9],"(MRI)":[10],"reconstruction":[11,84,146],"in":[12,78,159],"the":[13,47,50,55,60,75,95,140],"complex-domain":[14,79,144],"under":[15,38],"tight":[16,39],"frames.":[17,40],"propose":[19],"generalized":[21,103,114],"problem":[22,85],"formulation":[23],"that":[24,52],"allows":[25],"different":[27],"weight-update":[28],"strategies":[29],"iteratively":[31,104,116],"reweighted":[32,105,117],"\u2113":[33],"<sub":[34],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[36],"-minimization":[37],"Further,":[41],"we":[42,88],"impose":[43],"sufficient":[44],"conditions":[45],"on":[46],"function":[48,77],"of":[49,139,161],"weights":[51],"leads":[53],"to":[54,90],"reweighting":[56],"strategy,":[57],"which":[58],"follows":[59],"interpretation":[61],"originally":[62],"given":[63],"by":[64],"Cand\u00e8s":[65],"et":[66],"al,":[67],"but":[68],"is":[69,86],"more":[70],"efficient":[71],"than":[72],"theirs.":[73],"Since":[74],"objective":[76],"compressive":[80],"sensing":[81],"MRI":[82],"(CS-MRI)":[83],"nonholomorphic,":[87],"resort":[89],"Wirtinger":[91],"calculus":[92],"deriving":[94],"update":[96],"strategies.":[97,154],"develop":[99],"an":[100],"algorithm":[101,107,119],"called":[102],"soft-thresholding":[106,118],"(GIRSTA)":[108],"and":[109,127,151,166],"its":[110],"variant,":[112],"namely,":[113],"(GFIRSTA).":[120],"provide":[122],"convergence":[123,129],"guarantees":[124],"GIRSTA":[126],"empirical":[128],"results":[130],"GFIRSTA.":[132],"Our":[133],"experiments":[134],"show":[135],"remarkable":[137],"performance":[138],"proposed":[141],"algorithms":[142],"CS-MRI":[145],"considering":[147],"both":[148],"random":[149],"sampling":[150,153],"radial":[152],"GFIRSTA":[155],"outperforms":[156],"state-of-the-art":[157],"techniques":[158],"terms":[160],"peak":[162],"signal-to-noise":[163],"ratio":[164],"(PSNR)":[165],"structural":[167],"similarity":[168],"index":[169],"metric":[170],"(SSIM).":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
