{"id":"https://openalex.org/W2889093361","doi":"https://doi.org/10.3233/jifs-18136","title":"Learning depth super-resolution by using multi-scale convolutional neural network","display_name":"Learning depth super-resolution by using multi-scale convolutional neural network","publication_year":2018,"publication_date":"2018-08-31","ids":{"openalex":"https://openalex.org/W2889093361","doi":"https://doi.org/10.3233/jifs-18136","mag":"2889093361"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-18136","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18136","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5009550171","display_name":"Masoumeh Zareapoor","orcid":"https://orcid.org/0000-0002-3991-0584"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Masoumeh Zareapoor","raw_affiliation_strings":["Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079232252","display_name":"Pourya Shamsolmoali","orcid":"https://orcid.org/0000-0002-0263-1661"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pourya Shamsolmoali","raw_affiliation_strings":["Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100404947"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.0446,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82401286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"2","first_page":"1773","last_page":"1783"},"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":0.9976999759674072,"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":0.9969000220298767,"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":0.8666826486587524},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7638812065124512},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6545135378837585},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6413387656211853},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5818175673484802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5726481080055237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49763110280036926},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4959746301174164},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.455092191696167},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.45432156324386597},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.418472021818161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3705805838108063},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.3510071039199829},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34665101766586304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.338870644569397},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.06371352076530457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8666826486587524},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7638812065124512},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6545135378837585},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6413387656211853},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5818175673484802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5726481080055237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49763110280036926},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4959746301174164},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.455092191696167},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.45432156324386597},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.418472021818161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3705805838108063},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3510071039199829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34665101766586304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.338870644569397},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.06371352076530457},{"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/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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-18136","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18136","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W2150081556","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2395611524","https://openalex.org/W2417716951","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2520164769","https://openalex.org/W2523714292","https://openalex.org/W2533102868","https://openalex.org/W2562010997","https://openalex.org/W2583800510","https://openalex.org/W2604459465","https://openalex.org/W2625720168","https://openalex.org/W2635877902","https://openalex.org/W2738703051","https://openalex.org/W2765280970","https://openalex.org/W2778432986","https://openalex.org/W2791901417","https://openalex.org/W2794849006","https://openalex.org/W2796427489","https://openalex.org/W2797706457","https://openalex.org/W2950621961","https://openalex.org/W2963470893","https://openalex.org/W2963620158","https://openalex.org/W6600020421","https://openalex.org/W6600339963","https://openalex.org/W6601141708","https://openalex.org/W6626481562","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2767651786","https://openalex.org/W3206466808","https://openalex.org/W3097784260","https://openalex.org/W2920847290","https://openalex.org/W2900689274","https://openalex.org/W2380973289","https://openalex.org/W2606887207","https://openalex.org/W4309431704","https://openalex.org/W4294151680","https://openalex.org/W3187746867"],"abstract_inverted_index":{"Imaging":[0],"techniques":[1],"are":[2,46],"the":[3,12,25,30,40,61,67,70,80,89,93,117,135,154,159,166,171,187,195],"most":[4],"rapidly":[5],"growing":[6],"area":[7],"of":[8,27,145,156,173],"computer":[9,50],"vision,":[10],"and":[11,33,38,64,105,133,141,162],"resolution":[13,26,68,85],"has":[14],"reached":[15],"a":[16,21,183],"new":[17],"level.":[18],"Super-resolution":[19],"is":[20],"technique":[22],"that":[23],"enhances":[24],"images":[28],"from":[29],"low-resolution":[31,62,81],"input":[32,63,82],"help":[34],"to":[35,77,83,91,119,130,165,169],"accurately":[36],"analyze":[37],"derive":[39],"data.":[41],"Recently":[42],"convolutional":[43],"neural":[44],"network":[45,129,161,168],"becoming":[47],"mainstream":[48],"in":[49,138],"vision.":[51],"Most":[52],"existing":[53,188],"CNN":[54],"models":[55,97],"based":[56],"super-resolution":[57,123],"either":[58],"directly":[59],"reconstruct":[60,88,134],"then":[65,87],"improve":[66],"at":[69],"last":[71],"layer,":[72],"or":[73],"another":[74],"way":[75],"is,":[76],"firstly":[78],"enlarge":[79],"high":[84],"(HR),":[86],"HR":[90],"obtain":[92],"desired":[94],"output.":[95],"These":[96],"encounter":[98],"some":[99],"major":[100],"flows;":[101],"large":[102],"computational":[103,196],"resources":[104],"losing":[106,146],"information.":[107],"In":[108,150],"this":[109],"paper,":[110],"we":[111,152],"adopt":[112],"gradual":[113,126],"process":[114],"for":[115],"training":[116,174],"CNN,":[118],"propose":[120],"an":[121],"efficient":[122],"model.":[124],"The":[125,177],"strategy":[127],"helps":[128],"progressively":[131],"magnify":[132],"LR":[136],"image":[137],"each":[139],"step,":[140],"thereby":[142],"possibly":[143],"avoid":[144],"information":[147],"(second":[148],"problem).":[149,176],"addition,":[151],"optimize":[153],"number":[155],"layers,":[157],"add":[158],"residual":[160],"skip":[163],"connection":[164],"proposed":[167,178],"ease":[170],"difficulty":[172],"(first":[175],"model":[179],"not":[180],"only":[181],"achieves":[182],"compatible":[184],"performance":[185],"with":[186],"prominent":[189],"methods":[190],"but":[191],"also,":[192],"efficiently":[193],"reduce":[194],"expenses.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}