{"id":"https://openalex.org/W4387717439","doi":"https://doi.org/10.1109/tcsvt.2023.3325340","title":"Learned Two-Step Iterative Shrinkage Thresholding Algorithm for Deep Compressive Sensing","display_name":"Learned Two-Step Iterative Shrinkage Thresholding Algorithm for Deep Compressive Sensing","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387717439","doi":"https://doi.org/10.1109/tcsvt.2023.3325340"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3325340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3325340","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5071986802","display_name":"Hongping Gan","orcid":"https://orcid.org/0000-0002-4853-5077"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongping Gan","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","Yangtze River Delta Research Institute of NPU, Taicang, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute of NPU, Taicang, China","institution_ids":["https://openalex.org/I4210105136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835858","display_name":"Xiaoyang Wang","orcid":"https://orcid.org/0009-0001-5599-1740"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","Yangtze River Delta Research Institute of NPU, Taicang, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute of NPU, Taicang, China","institution_ids":["https://openalex.org/I4210105136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088093092","display_name":"Lijun He","orcid":"https://orcid.org/0000-0001-9000-845X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun He","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","Yangtze River Delta Research Institute of NPU, Taicang, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute of NPU, Taicang, China","institution_ids":["https://openalex.org/I4210105136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101664804","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0003-2587-9210"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210105136","display_name":"Yangtze River Delta Physics Research Center (China)","ror":"https://ror.org/01g53qc72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210105136"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","Yangtze River Delta Research Institute of NPU, Taicang, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University (NPU), Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute of NPU, Taicang, China","institution_ids":["https://openalex.org/I4210105136"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071986802"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I4210105136"],"apc_list":null,"apc_paid":null,"fwci":7.9683,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.98873311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"5","first_page":"3943","last_page":"3956"},"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":0.9990000128746033,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8176589012145996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7814062237739563},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6688714027404785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6064565777778625},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5056922435760498},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4888579249382019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47196945548057556},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46076536178588867},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4566861391067505},{"id":"https://openalex.org/keywords/loop-unrolling","display_name":"Loop unrolling","score":0.42938148975372314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11426585912704468}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8176589012145996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814062237739563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6688714027404785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6064565777778625},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5056922435760498},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4888579249382019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47196945548057556},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46076536178588867},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4566861391067505},{"id":"https://openalex.org/C76970557","wikidata":"https://www.wikidata.org/wiki/Q1869750","display_name":"Loop unrolling","level":3,"score":0.42938148975372314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11426585912704468},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3325340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3325340","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1983756589","display_name":null,"funder_award_id":"62101455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3056187106","display_name":null,"funder_award_id":"2022JQ-615","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G3356077036","display_name":null,"funder_award_id":"62201463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5360879544","display_name":null,"funder_award_id":"G2022WD01007","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W59557121","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1912194039","https://openalex.org/W1974198688","https://openalex.org/W2028349405","https://openalex.org/W2029816571","https://openalex.org/W2047920195","https://openalex.org/W2078204800","https://openalex.org/W2087018183","https://openalex.org/W2100037283","https://openalex.org/W2100556411","https://openalex.org/W2121927366","https://openalex.org/W2123031198","https://openalex.org/W2136334171","https://openalex.org/W2161907179","https://openalex.org/W2168745297","https://openalex.org/W2273561594","https://openalex.org/W2342838199","https://openalex.org/W2344974936","https://openalex.org/W2466488760","https://openalex.org/W2503339013","https://openalex.org/W2590877996","https://openalex.org/W2594014149","https://openalex.org/W2608661295","https://openalex.org/W2618530766","https://openalex.org/W2787943924","https://openalex.org/W2798559986","https://openalex.org/W2900435111","https://openalex.org/W2900756484","https://openalex.org/W2902719825","https://openalex.org/W2904577146","https://openalex.org/W2914390600","https://openalex.org/W2963081547","https://openalex.org/W2963676935","https://openalex.org/W2963814095","https://openalex.org/W2967012692","https://openalex.org/W2971575848","https://openalex.org/W2981551308","https://openalex.org/W2998853723","https://openalex.org/W3009991223","https://openalex.org/W3018622322","https://openalex.org/W3038886336","https://openalex.org/W3081108418","https://openalex.org/W3087291587","https://openalex.org/W3115447952","https://openalex.org/W3172689673","https://openalex.org/W3217524872","https://openalex.org/W4226069877","https://openalex.org/W4250955649","https://openalex.org/W4307842584","https://openalex.org/W4312908055","https://openalex.org/W4313524890","https://openalex.org/W4318767904","https://openalex.org/W4321483886","https://openalex.org/W4360898382","https://openalex.org/W4364322808","https://openalex.org/W4385245566","https://openalex.org/W6676062894","https://openalex.org/W6739495466","https://openalex.org/W6755625687","https://openalex.org/W6762186144"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W2896778670","https://openalex.org/W2107386309","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2148504016"],"abstract_inverted_index":{"Deep":[0],"unrolling":[1,37],"architectures":[2],"have":[3],"revitalized":[4],"compressive":[5],"sensing":[6,55],"(CS)":[7],"by":[8,179],"seamlessly":[9],"blending":[10],"deep":[11,25,36,176],"neural":[12],"networks":[13],"with":[14,79],"traditional":[15,98],"optimization-based":[16],"reconstruction":[17,159],"algorithms.":[18],"In":[19],"pursuit":[20],"of":[21,75,88,96,184],"an":[22,92],"efficient":[23],"and":[24,64,139,155,188],"interpretable":[26],"approach,":[27],"we":[28],"propose":[29],"LTwIST":[30,51,89,126,146,172],"for":[31,130,135],"CS":[32,177],"problem,":[33],"a":[34,53,66,124,157],"novel":[35],"framework":[38],"that":[39,169],"draws":[40],"inspiration":[41],"from":[42],"the":[43,72,80,97,102,110,128,170],"well-known":[44],"two-step":[45],"iterative":[46,93],"shrinkage":[47],"thresholding":[48],"(TwIST)":[49],"algorithm.":[50,100],"uses":[52],"trainable":[54],"matrix":[56],"to":[57,70,91,107,150],"adaptively":[58],"learn":[59,108],"structural":[60],"information":[61],"in":[62,182],"images,":[63],"introduces":[65],"customized":[67],"U-block":[68],"architecture":[69],"solve":[71],"proximal":[73],"mapping":[74],"nonlinear":[76],"transformations":[77],"connected":[78],"sparsity-inducing":[81],"regularizer.":[82],"Specifically,":[83],"each":[84],"iteration":[85],"recovery":[86,138],"step":[87,95,120],"corresponds":[90],"update":[94],"TwIST":[99],"Moreover,":[101,143],"proposed":[103,145,171],"method":[104],"is":[105,147,193],"designed":[106],"all":[109],"parameters":[111],"end-to-end":[112],"without":[113],"manual":[114,131],"tuning":[115],"such":[116],"as":[117],"shrinkable":[118],"thresholds,":[119],"sizes,":[121],"etc.":[122],"As":[123],"result,":[125],"obviates":[127],"need":[129],"parameter":[132],"optimization,":[133],"allows":[134],"high-quality":[136],"image":[137],"provides":[140],"unambiguous":[141],"interpretability.":[142],"our":[144],"also":[148],"applicable":[149],"CS-based":[151],"magnetic":[152],"resonance":[153],"imaging":[154],"exhibits":[156],"strong":[158],"performance.":[160,190],"Extensive":[161],"experiments":[162],"on":[163,195],"several":[164],"public":[165],"benchmark":[166],"datasets":[167],"demonstrate":[168],"outperforms":[173],"existing":[174],"state-of-the-art":[175],"methods":[178],"considerable":[180],"margins":[181],"terms":[183],"quality":[185],"evaluation":[186],"metrics":[187],"visual":[189],"Our":[191],"code":[192],"available":[194],"LTwIST.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}