{"id":"https://openalex.org/W2912532582","doi":"https://doi.org/10.1109/icecs.2018.8617964","title":"Adaptive Compressed Sensing Image Reconstruction Using Binary Measurement Matrices","display_name":"Adaptive Compressed Sensing Image Reconstruction Using Binary Measurement Matrices","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912532582","doi":"https://doi.org/10.1109/icecs.2018.8617964","mag":"2912532582"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2018.8617964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2018.8617964","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 Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-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/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":true,"raw_author_name":"Ali Akbari","raw_affiliation_strings":["Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France","institution_ids":["https://openalex.org/I122941322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055347825","display_name":"Marco Trevisi","orcid":"https://orcid.org/0000-0002-2649-6601"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marco Trevisi","raw_affiliation_strings":["Universidad de Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"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"],"affiliations":[{"raw_affiliation_string":"Institut Sup\u00e9rieur d'Electronique de Paris (ISEP), Paris, France","institution_ids":["https://openalex.org/I122941322"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055524671"],"corresponding_institution_ids":["https://openalex.org/I122941322"],"apc_list":null,"apc_paid":null,"fwci":0.4054,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61600021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"659","last_page":"660"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7985715866088867},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6946901082992554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891781091690063},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.597951352596283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5590514540672302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478031039237976},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.521939218044281},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5177947282791138},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49283671379089355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4857504963874817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3331476151943207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19463077187538147}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7985715866088867},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6946901082992554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891781091690063},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.597951352596283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5590514540672302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478031039237976},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.521939218044281},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5177947282791138},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49283671379089355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4857504963874817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3331476151943207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19463077187538147},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs.2018.8617964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2018.8617964","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 Electronics, Circuits and Systems (ICECS)","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":11,"referenced_works":["https://openalex.org/W1675052357","https://openalex.org/W2026151704","https://openalex.org/W2119667497","https://openalex.org/W2135957164","https://openalex.org/W2171783193","https://openalex.org/W2524642371","https://openalex.org/W2585518414","https://openalex.org/W2892240876","https://openalex.org/W6668902313","https://openalex.org/W6680437723","https://openalex.org/W6727169713"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W2896778670"],"abstract_inverted_index":{"This":[0],"article":[1],"introduces":[2],"an":[3,40],"adaptive":[4],"block-based,":[5],"low-complexity":[6],"Compressed":[7],"Sensing":[8],"(CS)":[9],"image":[10,92],"recovery":[11,86],"algorithm":[12,31,80],"that":[13,63,78],"permits":[14],"to":[15],"reconstruct":[16],"a":[17,20],"picture":[18,48],"from":[19],"reduced":[21],"number":[22],"of":[23,36,90],"CS":[24],"measurements":[25],"with":[26],"very":[27],"high":[28],"accuracy.":[29],"Our":[30,74],"first":[32],"detects":[33],"the":[34,50,64,71],"regions":[35],"interest":[37],"based":[38,45,57],"on":[39,46,58],"initial":[41],"non-adaptive":[42],"block-based":[43],"reconstruction;":[44],"this":[47],"recovery,":[49],"subrate":[51],"is":[52],"adapted":[53],"for":[54],"each":[55],"block":[56,84],"its":[59],"texture":[60],"content,":[61],"such":[62],"total":[65],"acquisition":[66,85],"rate":[67],"does":[68],"not":[69],"overpass":[70],"target":[72],"one.":[73],"experimental":[75],"framework":[76],"proves":[77],"our":[79],"outperforms":[81],"several":[82],"fixed":[83],"methods,":[87],"in":[88],"terms":[89],"both":[91],"quality,":[93],"as":[94,96],"well":[95],"associated":[97],"complexity.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}