{"id":"https://openalex.org/W4404688151","doi":"https://doi.org/10.1109/tcsvt.2024.3505212","title":"Denoiser-Regulated Deep Unfolding Compressed Sensing With Learnable Fixed-Point Projections","display_name":"Denoiser-Regulated Deep Unfolding Compressed Sensing With Learnable Fixed-Point Projections","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404688151","doi":"https://doi.org/10.1109/tcsvt.2024.3505212"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3505212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3505212","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/A5048421704","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3224-0063"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3224-0063","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Xie","orcid":"https://orcid.org/0009-0008-5384-3964"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0008-5384-3964","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026540573","display_name":"Huisi Wu","orcid":"https://orcid.org/0000-0002-0399-9089"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huisi Wu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0399-9089","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105875685","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4534-7625"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4534-7625","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Tuen Mun, Hong Kong","School of Data Science, Lingnan University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Tuen Mun, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005727907","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-7576-3999"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7576-3999","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048421704"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.5875,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6858349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"35","issue":"4","first_page":"3462","last_page":"3474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9860000014305115,"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"}},{"id":"https://openalex.org/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/compressed-sensing","display_name":"Compressed sensing","score":0.5265586376190186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5130892992019653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4210907518863678},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4132072925567627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3973451852798462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33120083808898926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2952767610549927},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10851603746414185}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5265586376190186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5130892992019653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4210907518863678},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4132072925567627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3973451852798462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33120083808898926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2952767610549927},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10851603746414185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3505212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3505212","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/G1580361642","display_name":null,"funder_award_id":"2024B0101120003","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G2346972914","display_name":null,"funder_award_id":"2024A1515012485","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5958250743","display_name":null,"funder_award_id":"62032015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G615098572","display_name":null,"funder_award_id":"72271168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6665208936","display_name":null,"funder_award_id":"2024A1515011946","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6694410858","display_name":null,"funder_award_id":"62273241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8112869031","display_name":null,"funder_award_id":"KJZD20230923114111021","funder_id":"https://openalex.org/F4320329836","funder_display_name":"Chuzhou Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320329836","display_name":"Chuzhou Science and Technology Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1539551155","https://openalex.org/W1857867064","https://openalex.org/W1930824406","https://openalex.org/W2009702064","https://openalex.org/W2071563913","https://openalex.org/W2097073572","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2110158442","https://openalex.org/W2121927366","https://openalex.org/W2145096794","https://openalex.org/W2163916252","https://openalex.org/W2273561594","https://openalex.org/W2332590713","https://openalex.org/W2508457857","https://openalex.org/W2552808051","https://openalex.org/W2566752166","https://openalex.org/W2573726823","https://openalex.org/W2798559986","https://openalex.org/W2891527488","https://openalex.org/W2902719825","https://openalex.org/W2952821810","https://openalex.org/W2963081547","https://openalex.org/W2998470023","https://openalex.org/W3009991223","https://openalex.org/W3010637453","https://openalex.org/W3018622322","https://openalex.org/W3024822880","https://openalex.org/W3081833727","https://openalex.org/W3087291587","https://openalex.org/W3141713259","https://openalex.org/W3174531399","https://openalex.org/W3188921881","https://openalex.org/W3190499751","https://openalex.org/W3200625292","https://openalex.org/W3207346178","https://openalex.org/W3207918547","https://openalex.org/W4200137485","https://openalex.org/W4223631436","https://openalex.org/W4235713725","https://openalex.org/W4244393449","https://openalex.org/W4249513058","https://openalex.org/W4250955649","https://openalex.org/W4292230951","https://openalex.org/W4292363360","https://openalex.org/W4293518741","https://openalex.org/W4307842584","https://openalex.org/W4312881242","https://openalex.org/W4376607374","https://openalex.org/W4376607984","https://openalex.org/W4386071863","https://openalex.org/W4399849526","https://openalex.org/W4400904439","https://openalex.org/W4402716282","https://openalex.org/W6609100109","https://openalex.org/W6631190155","https://openalex.org/W6760820039","https://openalex.org/W6803039762"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2051487156","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2073681303","https://openalex.org/W2358292267","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0],"family":[1],"of":[2,37,51,83,111,129,148,196,220],"regularization":[3,13],"by":[4,62,113,172],"denoising":[5,9,174],"(RED)":[6],"methods":[7],"introduce":[8],"operator":[10],"as":[11],"the":[12,44,49,64,69,72,79,84,108,146,149,169,177,183,188,191,194,218],"term":[14],"to":[15,42,89,144,167,180],"perform":[16],"compressed":[17],"sensing":[18],"(CS)":[19],"reconstruction,":[20],"which":[21,86,164],"shows":[22],"higher":[23],"flexibility":[24],"and":[25,47,81,175,200,213],"scalability.":[26],"However,":[27],"traditional":[28,214],"RED":[29],"framework":[30,103],"has":[31],"strict":[32],"requirements":[33],"on":[34,78,107,137,160,223],"several":[35],"properties":[36],"denoiser,":[38],"making":[39],"it":[40],"hard":[41],"design":[43],"specific":[45],"denoiser":[46,135,201],"limits":[48],"quality":[50],"reconstructed":[52,150],"images.":[53],"Although":[54],"some":[55,224],"relaxation":[56],"for":[57,193],"denoisers":[58],"can":[59],"be":[60],"made":[61],"incorporating":[63],"fixed":[65,161],"point":[66,162,198],"projection":[67,122,199],"during":[68],"iteration":[70],"process,":[71],"involved":[73],"parameters":[74,192],"have":[75],"great":[76],"impact":[77],"effectiveness":[80,219],"efficiency":[82],"algorithm,":[85],"is":[87,124,142,165],"non-trivial":[88],"set":[90],"them":[91],"properly.":[92],"In":[93,119],"this":[94],"paper,":[95],"we":[96,153],"propose":[97,154],"an":[98,133],"innovative":[99],"Deep":[100],"Unfolding":[101],"Network":[102],"termed":[104],"FP-DUN":[105],"based":[106,136,159],"iterative":[109],"process":[110,195],"Regularization":[112],"Denoising":[114],"via":[115],"Fixed-Point":[116],"Projection":[117],"(RED-PRO).":[118],"FP-DUN,":[120,221],"fix-point":[121],"module":[123],"implemented":[125],"with":[126,209,226],"learnable":[127],"weights":[128],"neural":[130],"networks,":[131],"where":[132],"effective":[134],"dual":[138],"attention":[139],"mechanism":[140],"(DAM)":[141],"developed":[143],"capture":[145],"details":[147,179],"image.":[151],"Additionally,":[152],"a":[155],"new":[156],"loss":[157],"function":[158],"constraints,":[163],"able":[166],"overcome":[168],"over-smoothness":[170],"caused":[171],"multi-stage":[173],"maintain":[176],"structural":[178],"progressively":[181],"improve":[182],"reconstruction":[184],"quality.":[185],"By":[186],"training":[187],"DUN":[189],"model,":[190],"fix":[197],"are":[202],"learned":[203],"automatically.":[204],"Extensive":[205],"experimental":[206],"results":[207],"comparing":[208],"state-of-the-art":[210],"CS":[211],"algorithms":[212],"RED-PRO":[215],"approach":[216],"validate":[217],"especially":[222],"images":[225],"complex":[227],"details.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
