{"id":"https://openalex.org/W1983288926","doi":"https://doi.org/10.1109/tip.2011.2163520","title":"Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications","display_name":"Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications","publication_year":2011,"publication_date":"2011-08-15","ids":{"openalex":"https://openalex.org/W1983288926","doi":"https://doi.org/10.1109/tip.2011.2163520","mag":"1983288926"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2163520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2163520","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"],"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/A5054773645","display_name":"Xiaolin Wu","orcid":"https://orcid.org/0000-0001-6924-292X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xiaolin Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","[Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada]","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630100","display_name":"Xiangjun Zhang","orcid":"https://orcid.org/0000-0001-6682-2590"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiangjun Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","[Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ONT, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada]","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100964522","display_name":"Shi Guangming","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi'an, China","Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054773645"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":4.9295,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95153817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"2","first_page":"451","last_page":"458"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8458238840103149},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.6766468286514282},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6074277758598328},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6038679480552673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5827985405921936},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5514484643936157},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5320649743080139},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5189054608345032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4975328743457794},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4726102650165558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44060394167900085},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4113999605178833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4110988676548004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38902801275253296},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.37585458159446716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35565251111984253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3495548665523529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33730649948120117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12691548466682434},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10416436195373535}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8458238840103149},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.6766468286514282},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6074277758598328},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6038679480552673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827985405921936},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5514484643936157},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5320649743080139},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5189054608345032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4975328743457794},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4726102650165558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44060394167900085},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4113999605178833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4110988676548004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38902801275253296},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.37585458159446716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35565251111984253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3495548665523529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33730649948120117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12691548466682434},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10416436195373535},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2011.2163520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2163520","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":"mag:21824848","is_oa":false,"landing_page_url":"https://onepetro.org/NACECORR/proceedings-pdf/CORR02/All-CORR02/NACE-02085/1875407/nace-02085.pdf","pdf_url":null,"source":null,"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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.726.9761","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.726.9761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://see.xidian.edu.cn/faculty/wsdong/Papers/Journal/TIPMARX.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2078204800","https://openalex.org/W2099111195","https://openalex.org/W2107861471","https://openalex.org/W2109449402","https://openalex.org/W2115706991","https://openalex.org/W2125680629","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2136396015","https://openalex.org/W2168745297","https://openalex.org/W2296616510","https://openalex.org/W3125735862","https://openalex.org/W4238744307","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2524358345","https://openalex.org/W2095066043","https://openalex.org/W2601968125","https://openalex.org/W2041636092","https://openalex.org/W2963863258","https://openalex.org/W2307530626","https://openalex.org/W2587863204","https://openalex.org/W2105702309","https://openalex.org/W2951235295","https://openalex.org/W2145977033"],"abstract_inverted_index":{"In":[0,137],"compressive":[1,105],"sensing":[2,106],"(CS),":[3],"a":[4,9,74,89,97,111,141,161],"challenge":[5],"is":[6,15],"to":[7,51,123,128],"find":[8],"space":[10,34],"in":[11,36,46],"which":[12],"the":[13,32,53,56,67,86,120,154,169,175],"signal":[14,64],"sparse":[16,33],"and,":[17],"hence,":[18],"faithfully":[19],"recoverable.":[20],"Since":[21],"many":[22],"natural":[23,150,165],"signals":[24],"such":[25],"as":[26],"images":[27,166],"have":[28],"locally":[29,47],"varying":[30,130],"statistics,":[31],"varies":[35],"time/spatial":[37],"domain.":[38],"As":[39],"such,":[40],"CS":[41,57,70,125,155,180],"recovery":[42,103,126],"should":[43],"be":[44,117],"conducted":[45],"adaptive":[48,102,127],"signal-dependent":[49],"spaces":[50],"counter":[52],"fact":[54],"that":[55,168],"measurements":[58],"are":[59],"global":[60],"and":[61,82,108,145],"irrespective":[62],"of":[63,77,88,104,134,143,149,164,178],"structures.":[65],"On":[66],"contrary,":[68],"existing":[69,179],"reconstruction":[71,176],"methods":[72,181],"use":[73],"fixed":[75],"set":[76],"bases":[78],"(e.g.,":[79],"wavelets,":[80],"DCT,":[81],"gradient":[83],"spaces)":[84],"for":[85,100],"entirety":[87],"signal.":[90],"To":[91],"rectify":[92],"this":[93],"problem,":[94],"we":[95],"propose":[96],"new":[98],"framework":[99,122],"model-guided":[101],"(MARX)":[107],"show":[109,167],"how":[110],"2-D":[112],"piecewise":[113],"autoregressive":[114],"model":[115],"can":[116,173],"integrated":[118],"into":[119],"MARX":[121,139,171],"make":[124],"spatially":[129],"second":[131],"order":[132],"statistics":[133],"an":[135],"image.":[136],"addition,":[138],"offers":[140],"mechanism":[142],"characterizing":[144],"exploiting":[146],"structured":[147],"sparsities":[148],"images,":[151],"greatly":[152],"restricting":[153],"solution":[156],"space.":[157],"Simulation":[158],"results":[159],"over":[160],"wide":[162],"range":[163],"proposed":[170],"technique":[172],"improve":[174],"quality":[177],"by":[182],"2-7":[183],"dB.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}