{"id":"https://openalex.org/W4412030571","doi":"https://doi.org/10.1109/tip.2025.3583951","title":"LCTC: Lightweight Convolutional Thresholding Sparse Coding Network Prior for Compressive Hyperspectral Imaging","display_name":"LCTC: Lightweight Convolutional Thresholding Sparse Coding Network Prior for Compressive Hyperspectral Imaging","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412030571","doi":"https://doi.org/10.1109/tip.2025.3583951","pmid":"https://pubmed.ncbi.nlm.nih.gov/40614157"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3583951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3583951","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/A5100652867","display_name":"Yurong Chen","orcid":"https://orcid.org/0000-0002-6171-4555"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Chen","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-6171-4555","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588168","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0003-0331-362X"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0331-362X","affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["School of Engineering, Westlake University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-8311-7524","affiliations":[{"raw_affiliation_string":"School of Engineering, Westlake University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-1803-3148","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76312463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"4286","last_page":"4301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9958999752998352,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.90746009349823},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.592708945274353},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5913432836532593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907021760940552},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.58216792345047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674890875816345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5054135322570801},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4439361095428467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4077345132827759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2497580647468567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21126598119735718},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.17318454384803772}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.90746009349823},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.592708945274353},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5913432836532593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907021760940552},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.58216792345047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674890875816345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5054135322570801},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4439361095428467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4077345132827759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2497580647468567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21126598119735718},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.17318454384803772}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3583951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3583951","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:40614157","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40614157","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":[{"id":"https://openalex.org/G2563698302","display_name":null,"funder_award_id":"2021ZD0114503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2805954161","display_name":null,"funder_award_id":"62027810, 92148204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3253534402","display_name":null,"funder_award_id":"\u00a0 62027810","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3645666365","display_name":null,"funder_award_id":"62433010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1968367053","https://openalex.org/W1981105828","https://openalex.org/W1984864470","https://openalex.org/W2002498099","https://openalex.org/W2011813002","https://openalex.org/W2017034896","https://openalex.org/W2056672982","https://openalex.org/W2079319869","https://openalex.org/W2084591647","https://openalex.org/W2100109944","https://openalex.org/W2121058967","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2133665775","https://openalex.org/W2145096794","https://openalex.org/W2194775991","https://openalex.org/W2464641472","https://openalex.org/W2507855991","https://openalex.org/W2770113520","https://openalex.org/W2884144629","https://openalex.org/W2963108975","https://openalex.org/W2963764784","https://openalex.org/W2963814976","https://openalex.org/W2964013315","https://openalex.org/W2990336658","https://openalex.org/W2993192098","https://openalex.org/W2998841120","https://openalex.org/W3035466729","https://openalex.org/W3087334746","https://openalex.org/W3096654432","https://openalex.org/W3108567638","https://openalex.org/W3155566117","https://openalex.org/W3173125503","https://openalex.org/W3202550138","https://openalex.org/W4221090720","https://openalex.org/W4226277663","https://openalex.org/W4292363360","https://openalex.org/W4294691181","https://openalex.org/W4322706760","https://openalex.org/W4385064828","https://openalex.org/W4391092611","https://openalex.org/W4391559302","https://openalex.org/W4401905990","https://openalex.org/W6631190155","https://openalex.org/W6651757965","https://openalex.org/W6838305376"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Compressive":[0],"spectral":[1,17,45,67],"imaging":[2,28],"has":[3],"garnered":[4],"significant":[5],"attention":[6],"for":[7,85],"its":[8,115,127],"ability":[9],"to":[10,40,56,165],"effectively":[11],"enhance":[12],"the":[13,27,42,57,91,110,123,147,157,173],"captured":[14],"spatial":[15],"and":[16,35,87,95,126,159,175],"information.":[18],"Predominant":[19],"methods,":[20],"based":[21],"on":[22,37],"compressive":[23],"sensing,":[24],"typically":[25],"formulate":[26],"task":[29],"as":[30,109,118,151],"a":[31,77,99,132,152],"constrained":[32],"optimization":[33,149],"problem":[34],"rely":[36],"hand-crafted":[38],"priors":[39],"model":[41],"sparsity":[43],"of":[44,60,90,177],"images.":[46],"However,":[47],"these":[48],"approaches":[49],"often":[50],"suffer":[51],"from":[52],"suboptimal":[53],"performance":[54,163],"due":[55],"inherent":[58],"difficulty":[59],"identifying":[61],"an":[62],"appropriate":[63],"transform":[64,93,112,124],"space":[65],"where":[66],"images":[68],"exhibit":[69,161],"sparsity.":[70],"To":[71],"overcome":[72],"this":[73],"limitation,":[74],"we":[75,137],"propose":[76],"novel":[78],"convolutional":[79],"sparse":[80,92,103,111,119],"coding-inspired":[81],"untrained":[82],"network":[83,106],"prior":[84,141],"fast":[86],"adaptive":[88],"identification":[89],"domain":[94,125],"compressible":[96],"signal.":[97],"Specifically,":[98],"Lightweight":[100],"Convolutional":[101],"Thresholding":[102],"Coding":[104],"(LCTC)":[105],"is":[107],"designed":[108],"domain,":[113],"with":[114],"inputs":[116],"interpreted":[117],"coefficients.":[120],"Crucially,":[121],"both":[122],"coefficients":[128],"are":[129],"solved":[130],"in":[131],"self-supervised":[133],"learning":[134],"manner.":[135],"Furthermore,":[136],"demonstrate":[138],"that":[139],"LCTC":[140,158],"can":[142],"be":[143],"seamlessly":[144],"incorporated":[145],"into":[146],"iterative":[148],"algorithm":[150],"Plug-and-Play":[153],"(PnP)":[154],"regularization.":[155],"Both":[156],"PnP-LCTC":[160],"superior":[162],"compared":[164],"previous":[166],"methods.":[167],"Experiments":[168],"under":[169],"various":[170],"scenarios":[171],"validate":[172],"effectiveness":[174],"efficiency":[176],"our":[178],"approach.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}