{"id":"https://openalex.org/W2892240876","doi":"https://doi.org/10.1109/icip.2018.8451216","title":"Robust Image Reconstruction for Block-Based Compressed Sensing Using a Binary Measurement Matrix","display_name":"Robust Image Reconstruction for Block-Based Compressed Sensing Using a Binary Measurement Matrix","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892240876","doi":"https://doi.org/10.1109/icip.2018.8451216","mag":"2892240876"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055524671","display_name":"Ali Akbari","orcid":"https://orcid.org/0000-0003-1457-2977"},"institutions":[{"id":"https://openalex.org/I122941322","display_name":"Institut Sup\u00e9rieur d'\u00c9lectronique de Paris","ror":"https://ror.org/00yw34h52","country_code":"FR","type":"education","lineage":["https://openalex.org/I122941322"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ali Akbari","raw_affiliation_strings":["Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France","institution_ids":["https://openalex.org/I122941322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083440927","display_name":"Maria Trocan","orcid":"https://orcid.org/0000-0001-6241-0126"},"institutions":[{"id":"https://openalex.org/I122941322","display_name":"Institut Sup\u00e9rieur d'\u00c9lectronique de Paris","ror":"https://ror.org/00yw34h52","country_code":"FR","type":"education","lineage":["https://openalex.org/I122941322"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maria Trocan","raw_affiliation_strings":["Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France","institution_ids":["https://openalex.org/I122941322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122941322"],"apc_list":null,"apc_paid":null,"fwci":3.6504,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96767478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1832","last_page":"1836"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991999864578247,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7227422595024109},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6879513263702393},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6618016362190247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.651191771030426},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5946071147918701},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5866833329200745},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5742607116699219},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5688469409942627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672140717506409},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.48614761233329773},{"id":"https://openalex.org/keywords/singularity","display_name":"Singularity","score":0.4599868357181549},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4322349429130554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30051618814468384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24277392029762268}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7227422595024109},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6879513263702393},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6618016362190247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.651191771030426},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5946071147918701},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5866833329200745},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5742607116699219},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5688469409942627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672140717506409},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.48614761233329773},{"id":"https://openalex.org/C16171025","wikidata":"https://www.wikidata.org/wiki/Q863349","display_name":"Singularity","level":2,"score":0.4599868357181549},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4322349429130554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30051618814468384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24277392029762268},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1502593327","https://openalex.org/W1574525563","https://openalex.org/W1580389772","https://openalex.org/W1675052357","https://openalex.org/W2023722580","https://openalex.org/W2026151704","https://openalex.org/W2119667497","https://openalex.org/W2129812098","https://openalex.org/W2143116731","https://openalex.org/W2171783193","https://openalex.org/W2296616510","https://openalex.org/W2524642371","https://openalex.org/W2585518414","https://openalex.org/W2595142274","https://openalex.org/W2757720380","https://openalex.org/W2964091591","https://openalex.org/W3124114587","https://openalex.org/W4250955649","https://openalex.org/W6629927927","https://openalex.org/W6668902313","https://openalex.org/W6679164396","https://openalex.org/W6727169713"],"related_works":["https://openalex.org/W2737338842","https://openalex.org/W4285251805","https://openalex.org/W3104324607","https://openalex.org/W3205778756","https://openalex.org/W1485082952","https://openalex.org/W2308961925","https://openalex.org/W4206981968","https://openalex.org/W4302459131","https://openalex.org/W2912289844","https://openalex.org/W2354553795"],"abstract_inverted_index":{"Nowadays,":[0],"there":[1],"are":[2,98],"still":[3],"difficulties":[4],"in":[5,114,140,174],"the":[6,15,18,27,34,42,53,91,111,132,163,167,171],"implementation":[7],"of":[8,17,36,39,44,46,142,176],"Compressed":[9],"Sensing":[10],"(CS)":[11],"sensors":[12],"due":[13,32],"to":[14,33,69,89,116],"nature":[16],"measurement":[19,23,40],"matrix.":[20],"A":[21],"binary":[22,102,123],"matrix":[24,124],"can":[25,67],"simplify":[26],"CS":[28,48,56,83],"procedure":[29],"significantly.":[30],"However,":[31],"singularity":[35],"this":[37,74],"class":[38],"matrices,":[41],"convergence":[43],"some":[45],"existing":[47,148],"reconstruction":[49,60,143,149],"algorithms,":[50],"such":[51],"as":[52],"well-known":[54],"block-based":[55],"with":[57,110,147,154],"smoothed-projected":[58],"Landweber":[59],"(BCS-SPL)":[61],"algorithm,":[62],"is":[63,87,108,125,170],"not":[64],"guaranteed":[65],"and":[66,81,151],"lead":[68],"an":[70],"inaccurate":[71],"recovery.":[72],"In":[73],"paper":[75],"we":[76],"propose":[77],"a":[78,101,122,137],"simple,":[79],"fast":[80],"efficient":[82,173],"recovery":[84,119,134,177],"algorithm":[85,113,135,150,169],"that":[86,131,156],"able":[88],"recover":[90],"original":[92],"image":[93],"from":[94],"compressed":[95],"samples":[96],"which":[97],"obtained":[99],"using":[100],"measurement.":[103],"Singular":[104],"value":[105],"decomposition":[106],"(SVD)":[107],"coupled":[109],"BCS-SPL":[112,164],"order":[115],"improve":[117],"its":[118],"capability":[120],"when":[121,145],"employed.":[126],"The":[127],"experimental":[128],"results":[129],"show":[130],"proposed":[133,168],"has":[136],"better":[138],"performance":[139],"terms":[141,175],"quality":[144,155],"compared":[146],"yields":[152],"images":[153],"matches":[157],"or":[158],"exceeds":[159],"those":[160],"produced":[161],"by":[162],"algorithm.":[165],"Additionally,":[166],"most":[172],"time,":[178],"especially":[179],"at":[180],"high":[181],"subrates.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}