{"id":"https://openalex.org/W2803417196","doi":"https://doi.org/10.1145/3193025.3193040","title":"Compressive Sensing Image Reconstruction Using Super-Resolution Convolutional Neural Network","display_name":"Compressive Sensing Image Reconstruction Using Super-Resolution Convolutional Neural Network","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2803417196","doi":"https://doi.org/10.1145/3193025.3193040","mag":"2803417196"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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/A5060643741","display_name":"Lilian Huang","orcid":"https://orcid.org/0000-0002-3589-285X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lilian Huang","raw_affiliation_strings":["Information and Communication Engineering Department, Harbin Engineering University, China"],"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering Department, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024798073","display_name":"Zhonghang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghang Zhu","raw_affiliation_strings":["Information and Communication Engineering Department, Harbin Engineering University, China"],"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering Department, Harbin Engineering University, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060643741"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.2027,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48222793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"83"},"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":0.9991999864578247,"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":0.9970999956130981,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.746362566947937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257570028305054},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.703491747379303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919473767280579},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.515754222869873},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5095655918121338},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4784005582332611},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4656805396080017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4605080485343933},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4364805817604065},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.42919689416885376},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42209771275520325},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4204573631286621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35765954852104187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20406219363212585},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.10948660969734192}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.746362566947937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257570028305054},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.703491747379303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919473767280579},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.515754222869873},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5095655918121338},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4784005582332611},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4656805396080017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4605080485343933},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4364805817604065},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.42919689416885376},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42209771275520325},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4204573631286621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35765954852104187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20406219363212585},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.10948660969734192},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3193025.3193040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1560439860","https://openalex.org/W1885185971","https://openalex.org/W2006275398","https://openalex.org/W2013215082","https://openalex.org/W2041101642","https://openalex.org/W2044762091","https://openalex.org/W2045748842","https://openalex.org/W2103519107","https://openalex.org/W2104622689","https://openalex.org/W2127271355","https://openalex.org/W2244956674","https://openalex.org/W2296616510","https://openalex.org/W2574952845","https://openalex.org/W2755307566","https://openalex.org/W3102399088","https://openalex.org/W3104196124","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2391245565","https://openalex.org/W3093612317","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2408417885","https://openalex.org/W2099840350","https://openalex.org/W3205778756"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,98],"(CS)":[2],"can":[3],"recover":[4],"a":[5,54,65,80],"signal":[6,42],"that":[7,49,71,128],"is":[8,36,93],"sparse":[9],"in":[10,57],"certain":[11],"representation":[12],"and":[13,85,136],"sample":[14],"at":[15],"the":[16,20,26,40,102,106,120,129],"rate":[17],"far":[18],"below":[19],"Nyquist":[21],"rate.":[22],"But":[23],"limited":[24],"to":[25,38,100],"accuracy":[27],"of":[28,31,73,83],"atomic":[29],"matching":[30],"traditional":[32],"reconstruction":[33],"algorithm,":[34],"CS":[35],"difficult":[37],"reconstruct":[39],"initial":[41],"with":[43],"high":[44],"resolution.":[45],"Meanwhile,":[46],"scholar":[47],"found":[48],"trained":[50],"neural":[51],"network":[52],"have":[53],"strong":[55],"ability":[56],"settling":[58],"such":[59],"inverse":[60],"problems.":[61],"Thus,":[62],"we":[63],"propose":[64],"Super-Resolution":[66],"Convolutional":[67],"Neural":[68],"Network":[69],"(SRCNN)":[70],"consists":[72],"three":[74],"convolutional":[75],"layers.":[76],"Every":[77],"layer":[78],"has":[79,86],"fixed":[81],"number":[82],"kernels":[84],"their":[87],"own":[88],"specific":[89],"function.":[90],"The":[91,124],"process":[92,101],"implemented":[94],"using":[95,119],"classical":[96],"compressed":[97],"algorithm":[99,122],"input":[103],"image,":[104],"afterwards,":[105],"output":[107],"images":[108],"are":[109],"coded":[110],"via":[111],"SRCNN.":[112],"We":[113],"achieve":[114],"higher":[115],"resolution":[116],"image":[117],"by":[118],"SRCNN":[121],"proposed.":[123],"simulation":[125],"results":[126],"show":[127],"proposed":[130],"method":[131],"helps":[132],"improve":[133],"PSNR":[134],"value":[135],"promote":[137],"visual":[138],"effect.":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}