{"id":"https://openalex.org/W2964308901","doi":"https://doi.org/10.1109/icip.2018.8451841","title":"Deep Neural Network Based Sparse Measurement Matrix for Image Compressed Sensing","display_name":"Deep Neural Network Based Sparse Measurement Matrix for Image Compressed Sensing","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2964308901","doi":"https://doi.org/10.1109/icip.2018.8451841","mag":"2964308901"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451841","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":"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/A5103110273","display_name":"Wenxue Cui","orcid":"https://orcid.org/0000-0001-8656-0954"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864573","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0001-8342-1211"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842901","display_name":"Xinwei Gao","orcid":"https://orcid.org/0009-0008-7399-601X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Gao","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wen Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Tao","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9145,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91220373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3883","last_page":"3887"},"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/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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.7957133054733276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7426663637161255},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6864497065544128},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5937783718109131},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5841168761253357},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5445374250411987},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5255200862884521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5098459124565125},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4832809269428253},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4453316628932953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4363834857940674},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42070627212524414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2256620228290558}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7957133054733276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426663637161255},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6864497065544128},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5937783718109131},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5841168761253357},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5445374250411987},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5255200862884521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5098459124565125},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4832809269428253},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4453316628932953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4363834857940674},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42070627212524414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2256620228290558},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451841","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1539551155","https://openalex.org/W1963882359","https://openalex.org/W2045518970","https://openalex.org/W2045737896","https://openalex.org/W2110158442","https://openalex.org/W2129812098","https://openalex.org/W2130120519","https://openalex.org/W2145096794","https://openalex.org/W2164566711","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2296616510","https://openalex.org/W2474424652","https://openalex.org/W2543013670","https://openalex.org/W2964178808","https://openalex.org/W3102722370","https://openalex.org/W4250955649","https://openalex.org/W4299851355","https://openalex.org/W6679164396"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2591697403","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W2944728705","https://openalex.org/W1881631164","https://openalex.org/W2896778670","https://openalex.org/W2737338842","https://openalex.org/W3005946484"],"abstract_inverted_index":{"Gaussian":[0],"random":[1],"matrix":[2],"(GRM)":[3],"has":[4,33],"been":[5],"widely":[6],"used":[7],"to":[8,81,134,145],"generate":[9],"linear":[10],"measurements":[11,52],"in":[12,27,97],"compressed":[13],"sensing":[14],"(CS)":[15],"of":[16,45,125,157],"natural":[17],"images.":[18],"However,":[19],"there":[20],"actually":[21],"exist":[22],"two":[23],"disadvantages":[24],"with":[25],"GRM":[26,32,56,180],"practice.":[28],"One":[29],"is":[30,48,74,164],"that":[31,49,175],"large":[34],"memory":[35],"requirement":[36],"and":[37,87,106,116,128,169],"high":[38],"computational":[39,85,130],"complexity,":[40],"which":[41,101],"restrict":[42],"the":[43,50,77,83,89,98,103,107,111,114,117,123,126,129,136,148,153,158,162,176],"applications":[44],"CS.":[46],"Another":[47],"CS":[51,90,137,184],"randomly":[53],"obtained":[54],"by":[55,76,122,152],"cannot":[57],"provide":[58],"sufficient":[59],"reconstruction":[60,91,108,138,141,185],"performances.":[61],"In":[62,110,132],"this":[63],"paper,":[64],"a":[65,140],"Deep":[66],"neural":[67],"network":[68,80],"based":[69],"Sparse":[70],"Measurement":[71],"Matrix":[72],"(DSMM)":[73],"learned":[75],"proposed":[78,99,159,177],"convolutional":[79],"reduce":[82],"sampling":[84,104,112,149],"complexity":[86],"improve":[88,135],"performance.":[92],"Two":[93],"sub-networks":[94],"are":[95,102,119,143],"included":[96],"network,":[100,161],"sub-network":[105,142],"sub-network.":[109,150],"sub-network,":[113],"sparsity":[115],"normalization":[118],"both":[120],"considered":[121],"limitation":[124],"storage":[127],"complexity.":[131],"order":[133],"performance,":[139],"introduced":[144],"help":[146],"enhance":[147],"So":[151],"offline":[154],"iterative":[155],"training":[156],"end-to-end":[160],"DSMM":[163,178],"generated":[165],"for":[166],"accurate":[167],"measurement":[168],"excellent":[170],"reconstruction.":[171],"Experimental":[172],"results":[173],"demonstrate":[174],"outperforms":[179],"greatly":[181],"on":[182],"representative":[183],"methods.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}