{"id":"https://openalex.org/W2897811496","doi":"https://doi.org/10.1109/access.2018.2874442","title":"Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network","display_name":"Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897811496","doi":"https://doi.org/10.1109/access.2018.2874442","mag":"2897811496"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2874442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874442","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2874442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074650143","display_name":"Alireza Esmaeilzehi","orcid":"https://orcid.org/0000-0002-3625-1608"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Esmaeilzehi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-2924-6659","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M.N.S. Swamy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4566,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87055225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"59963","last_page":"59974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8039321899414062},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7232321500778198},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6954701542854309},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6908422708511353},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.587020218372345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828683376312256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5319647789001465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5134376287460327},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5091657042503357},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48070675134658813},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4276457726955414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3160399794578552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07468414306640625},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06068551540374756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039321899414062},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7232321500778198},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6954701542854309},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6908422708511353},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.587020218372345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828683376312256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5319647789001465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5134376287460327},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5091657042503357},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48070675134658813},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4276457726955414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3160399794578552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07468414306640625},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06068551540374756},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2018.2874442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874442","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:https://spectrum.library.concordia.ca:984719","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:3187c51618a74f28bfd6d3e3804ee72b","is_oa":true,"landing_page_url":"https://doaj.org/article/3187c51618a74f28bfd6d3e3804ee72b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 59963-59974 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2874442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2874442","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1170609803","https://openalex.org/W1530883782","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1815076433","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1950594372","https://openalex.org/W2035424729","https://openalex.org/W2047920195","https://openalex.org/W2057065563","https://openalex.org/W2067042811","https://openalex.org/W2117539524","https://openalex.org/W2118103795","https://openalex.org/W2119667497","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2129812935","https://openalex.org/W2133665775","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2343734370","https://openalex.org/W2345557152","https://openalex.org/W2503339013","https://openalex.org/W2505593925","https://openalex.org/W2583800510","https://openalex.org/W2588476137","https://openalex.org/W2773653677","https://openalex.org/W2791460829","https://openalex.org/W2792245367","https://openalex.org/W2793870514","https://openalex.org/W2903382683","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2963285578","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963840672","https://openalex.org/W3104196124","https://openalex.org/W3137695714","https://openalex.org/W6624640001","https://openalex.org/W6677645113","https://openalex.org/W6684191040","https://openalex.org/W6724673846","https://openalex.org/W6732887996"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2990636717","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4387947405"],"abstract_inverted_index":{"The":[0,65,98],"features":[1,83],"produced":[2,84],"by":[3,85],"the":[4,15,21,25,32,51,62,68,74,82,86,90,112,118],"layers":[5,35,88],"of":[6,24,34,81,89],"a":[7,41],"neural":[8],"network":[9,16,26,63,70,91,100],"become":[10],"increasingly":[11],"more":[12,79],"sparse":[13],"as":[14,31,96],"gets":[17],"deeper":[18],"and":[19,92,107],"consequently,":[20],"learning":[22],"capability":[23],"is":[27,36,48,71,78,94,101,108],"not":[28,95],"further":[29],"enhanced":[30],"number":[33],"increased.":[37],"In":[38],"this":[39],"paper,":[40],"novel":[42],"residual":[43,75],"deep":[44],"network,":[45],"called":[46],"CompNet,":[47],"proposed":[49,69,99],"for":[50],"single":[52],"image":[53],"super":[54,119],"resolution":[55,120],"problem":[56],"without":[57],"an":[58],"excessive":[59],"increase":[60],"in":[61],"complexity.":[64],"idea":[66],"behind":[67],"to":[72,110,116],"compose":[73],"signal":[76],"that":[77],"representative":[80],"different":[87,104],"it":[93],"sparse.":[97],"experimented":[102],"on":[103],"benchmark":[105],"datasets":[106],"shown":[109],"outperform":[111],"state-of-the-art":[113],"schemes":[114],"designed":[115],"solve":[117],"problem.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
