{"id":"https://openalex.org/W2894007880","doi":"https://doi.org/10.1093/comjnl/bxy092","title":"Image Zooming Using a Multi-layer Neural Network","display_name":"Image Zooming Using a Multi-layer Neural Network","publication_year":2018,"publication_date":"2018-08-17","ids":{"openalex":"https://openalex.org/W2894007880","doi":"https://doi.org/10.1093/comjnl/bxy092","mag":"2894007880"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxy092","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy092","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Image_zooming_using_a_multi-layer_neural_network/20708914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032401284","display_name":"Hamid Hassanpour","orcid":"https://orcid.org/0000-0002-5513-9822"},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H Hassanpour","raw_affiliation_strings":["Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran","institution_ids":["https://openalex.org/I176861719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046719196","display_name":"N. Nowrozian","orcid":null},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"N Nowrozian","raw_affiliation_strings":["Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran","institution_ids":["https://openalex.org/I176861719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187040","display_name":"Mohammad M. AlyanNezhadi","orcid":null},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"M M AlyanNezhadi","raw_affiliation_strings":["Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran"],"raw_orcid":"https://orcid.org/0000-0001-7170-7626","affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Semnan, Iran","institution_ids":["https://openalex.org/I176861719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039790126","display_name":"Najmeh Samadiani","orcid":"https://orcid.org/0000-0002-0108-3456"},"institutions":[{"id":"https://openalex.org/I4210107575","display_name":"Kosar University of Bojnord","ror":"https://ror.org/01e7e7r31","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210107575"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"N Samadiani","raw_affiliation_strings":["Department of Computer Engineering, Kosar University of Bojnord, Bojnord, Khorasan-e shomali, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kosar University of Bojnord, Bojnord, Khorasan-e shomali, Iran","institution_ids":["https://openalex.org/I4210107575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103187040"],"corresponding_institution_ids":["https://openalex.org/I176861719"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.4249,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67961286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"61","issue":"11","first_page":"1737","last_page":"1748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/zoom","display_name":"Zoom","score":0.8490148782730103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.774307131767273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7532846927642822},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7010611295700073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6409434080123901},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6077113747596741},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5811043977737427},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5433938503265381},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4859236776828766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4508032202720642},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4304355978965759},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4249315857887268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14275512099266052}],"concepts":[{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.8490148782730103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.774307131767273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532846927642822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7010611295700073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6409434080123901},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6077113747596741},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5811043977737427},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5433938503265381},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4859236776828766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4508032202720642},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4304355978965759},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4249315857887268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14275512099266052},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"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/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/comjnl/bxy092","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy092","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30136482","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20708914","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Image_zooming_using_a_multi-layer_neural_network/20708914","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20708914","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Image_zooming_using_a_multi-layer_neural_network/20708914","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1599195847","https://openalex.org/W1885185971","https://openalex.org/W1964964594","https://openalex.org/W1989704934","https://openalex.org/W2032544413","https://openalex.org/W2065730076","https://openalex.org/W2097748444","https://openalex.org/W2113524221","https://openalex.org/W2121661625","https://openalex.org/W2133665775","https://openalex.org/W2151152358","https://openalex.org/W2172128189","https://openalex.org/W2184742714","https://openalex.org/W2594130382","https://openalex.org/W2749503304","https://openalex.org/W2964213580","https://openalex.org/W4253920039","https://openalex.org/W6658835180","https://openalex.org/W6686644924"],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4312753625","https://openalex.org/W2356662304","https://openalex.org/W2376671254","https://openalex.org/W4255424250"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,33,55,78,109],"novel":[4],"image":[5,17,37,52,72,86,107,115,170],"zooming":[6,18,40,171],"method":[7,31,145,162],"using":[8,49],"neural":[10,44,98,121],"network.":[11],"The":[12,29,96,113,126,152],"main":[13,24],"issue":[14],"in":[15,77,133],"any":[16],"algorithms":[19],"is":[20,46,100,146,163],"to":[21,103,119,150],"preserve":[22],"the":[23,27,43,50,61,70,74,84,90,105,120,134,138,143,160],"structure":[25],"of":[26,57,111],"image.":[28],"proposed":[30,144,161],"uses":[32],"multi-layer":[34],"perceptron":[35],"for":[36,123,174],"zooming.":[38],"For":[39],"an":[41],"image,":[42,136],"network":[45,99,122],"initially":[47],"trained":[48,97],"same":[51],"down-sampled":[53,71],"by":[54,108],"factor":[56,110],"2.":[58,112],"In":[59],"training":[60],"network,":[62],"individual":[63],"pixels":[64,76],"along":[65],"with":[66],"their":[67],"neighborhoods":[68],"from":[69,83],"and":[73,92,128,137,148],"corresponding":[75],"2":[79,81],"\u00d7":[80],"block":[82],"original":[85,106],"are":[87,131,140],"used":[88,102],"as":[89],"input":[91],"output":[93],"data,":[94],"respectively.":[95],"then":[101],"enlarge":[104],"obtained":[114],"can":[116],"be":[117],"re-applied":[118],"further":[124],"enlarging.":[125],"blurring":[127],"staircase":[129],"effects":[130],"faint":[132],"zoomed":[135],"edges":[139],"preserved.":[141],"Besides,":[142],"simple":[147],"easy":[149],"implement.":[151],"evaluation":[153],"results":[154],"on":[155],"different":[156],"images":[157],"show":[158],"that":[159],"more":[164],"efficient":[165],"than":[166],"other":[167],"recently":[168],"developed":[169],"methods,":[172],"particularly":[173],"high":[175],"magnification":[176],"factors.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
