{"id":"https://openalex.org/W3004051361","doi":"https://doi.org/10.1109/access.2020.2970158","title":"Hybrid-Weighted Total Variation and Nonlocal Low-Rank-Based Image Compressed Sensing Reconstruction","display_name":"Hybrid-Weighted Total Variation and Nonlocal Low-Rank-Based Image Compressed Sensing Reconstruction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3004051361","doi":"https://doi.org/10.1109/access.2020.2970158","mag":"3004051361"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2970158","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970158","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974271.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100602279","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0002-7449-9057"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7449-9057","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064402826","display_name":"Yanzhou Liu","orcid":"https://orcid.org/0000-0002-8318-7119"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhou Liu","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8318-7119","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818415","display_name":"Cheng Huang","orcid":"https://orcid.org/0000-0001-6151-6578"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Huang","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6151-6578","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756694","display_name":"Tianlong Wang","orcid":"https://orcid.org/0000-0003-1887-8236"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlong Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-1887-8236","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6355,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5807078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"23002","last_page":"23010"},"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/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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092798709869385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5581973791122437},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4868614077568054},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.47078150510787964},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.44357240200042725},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4326712489128113},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4315243065357208},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42457693815231323},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4161446988582611},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4134315848350525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926401734352112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3868776857852936},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3381290137767792},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3146822452545166},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23604950308799744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092798709869385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5581973791122437},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4868614077568054},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.47078150510787964},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.44357240200042725},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4326712489128113},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4315243065357208},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42457693815231323},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4161446988582611},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4134315848350525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926401734352112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3868776857852936},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3381290137767792},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3146822452545166},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23604950308799744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2970158","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970158","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b2347facc3fa4584995b6f4050c24c57","is_oa":true,"landing_page_url":"https://doaj.org/article/b2347facc3fa4584995b6f4050c24c57","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 23002-23010 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2970158","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2970158","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2926930228","display_name":"\u590d\u6742\u4f53\u5236BOC\u8c03\u5236\u76f4\u6269\u4fe1\u53f7\u7684\u68c0\u6d4b\u4e0e\u4f30\u8ba1\u7814\u7a76","funder_award_id":"61671095","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004051361.pdf","grobid_xml":"https://content.openalex.org/works/W3004051361.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1487446337","https://openalex.org/W1964905295","https://openalex.org/W2018990310","https://openalex.org/W2037981501","https://openalex.org/W2074406023","https://openalex.org/W2082062620","https://openalex.org/W2085899807","https://openalex.org/W2098713549","https://openalex.org/W2103559027","https://openalex.org/W2135036909","https://openalex.org/W2145096794","https://openalex.org/W2166500461","https://openalex.org/W2296616510","https://openalex.org/W2527004316","https://openalex.org/W2599698286","https://openalex.org/W2751661828","https://openalex.org/W2793624040","https://openalex.org/W2903018872","https://openalex.org/W2962696956","https://openalex.org/W2963334250","https://openalex.org/W3104074850","https://openalex.org/W4250955649","https://openalex.org/W6671975367"],"related_works":["https://openalex.org/W2303132117","https://openalex.org/W2390285263","https://openalex.org/W3136792315","https://openalex.org/W1983047266","https://openalex.org/W1994135796","https://openalex.org/W3180153763","https://openalex.org/W2726761918","https://openalex.org/W2032879825","https://openalex.org/W2069096385","https://openalex.org/W1974373389"],"abstract_inverted_index":{"To":[0],"reconstruct":[1],"natural":[2],"images":[3],"from":[4],"compressed":[5],"sensing":[6],"(CS)":[7],"measurements":[8],"accurately":[9],"and":[10,23,34,47,70,80,97,118,121,126,135,159],"effectively,":[11],"a":[12,49],"CS":[13,178],"image":[14,79],"reconstruction":[15,179,187],"algorithm":[16,109,183],"based":[17],"on":[18],"hybrid-weighted":[19],"total":[20,43],"variation":[21,44],"(HWTV)":[22],"nonlocal":[24,35],"low-rank":[25,136],"(NLR)":[26],"is":[27,149],"proposed.":[28],"It":[29],"considers":[30],"the":[31,60,65,75,78,82,86,94,99,103,107,133,141,153,160,176,181,191],"local":[32],"smoothness":[33],"self-similarity":[36],"(NSS)":[37],"in":[38,85,190],"image,":[39],"improves":[40],"traditional":[41],"hybrid":[42],"(TV)":[45],"model,":[46,120],"constructs":[48,110],"new":[50],"edge":[51],"detection":[52],"operator":[53],"with":[54,114,175],"mean":[55],"curvature":[56],"to":[57,73,131,151,166],"adaptively":[58],"select":[59],"TV.":[61],"The":[62],"HWTV":[63,116],"combines":[64],"advantages":[66],"of":[67,77,102,193],"first-order":[68],"TV":[69,72,134],"second-order":[71],"preserve":[74],"edges":[76],"avoid":[81],"staircase":[83],"effect":[84],"smooth":[87,127],"areas.":[88],"And":[89],"NLR":[90,119],"can":[91,184],"effectively":[92],"reduce":[93],"redundant":[95],"information":[96,101],"retain":[98],"structural":[100],"image.":[104],"In":[105],"addition,":[106],"proposed":[108,182],"prior":[111],"regularization":[112],"terms":[113],"improved":[115],"model":[117,155],"utilizes":[122],"soft":[123],"threshold":[124],"function":[125,130],"but":[128],"non-convex":[129],"solve":[132,167],"optimization":[137],"problems,":[138],"respectively.":[139],"Finally,":[140],"alternative":[142],"direction":[143],"multiplier":[144],"method":[145],"(ADMM)":[146],"iterative":[147],"strategy":[148],"used":[150],"separate":[152],"target":[154],"into":[156],"several":[157],"sub-problems,":[158],"most":[161],"efficient":[162],"methods":[163],"are":[164],"adopted":[165],"each":[168],"sub-problem.":[169],"Experimental":[170],"results":[171],"show":[172],"that,":[173],"compared":[174],"state-of-the-art":[177],"algorithms,":[180],"achieve":[185],"higher":[186],"quality,":[188],"especially":[189],"case":[192],"low":[194],"sampling":[195],"rates.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}