{"id":"https://openalex.org/W4286268377","doi":"https://doi.org/10.1117/1.jei.31.4.043015","title":"Enhanced implicit function-based network for arbitrary-scale image super-resolution","display_name":"Enhanced implicit function-based network for arbitrary-scale image super-resolution","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4286268377","doi":"https://doi.org/10.1117/1.jei.31.4.043015"},"language":"en","primary_location":{"id":"doi:10.1117/1.jei.31.4.043015","doi":"https://doi.org/10.1117/1.jei.31.4.043015","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.31.4.043015","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5064465418","display_name":"Zhijing Yang","orcid":"https://orcid.org/0000-0001-8336-5109","observed_orcids":["https://orcid.org/0000-0001-8336-5109"]},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijing Yang","raw_affiliation_strings":["Guangdong University of Technology, School of Information Engineering, Guangzhou, China","Guangdong University of Technology, School of Information Engineering, Guangzhou, China (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, School of Information Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Guangdong University of Technology, School of Information Engineering, Guangzhou, China (China)","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064465418"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0693,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.21201472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"31","issue":"04","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":9.999999747378752e-05,"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/T11019","display_name":"Image Enhancement Techniques","score":9.999999747378752e-05,"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/structural-distortion","display_name":"structural distortion","score":0.5809999704360962},{"id":"https://openalex.org/keywords/spatial-encoding","display_name":"spatial coding","score":0.753000020980835},{"id":"https://openalex.org/keywords/single-image-super-resolution","display_name":"single image super-resolution","score":0.8080000281333923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289122343063354},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5814599990844727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5802807211875916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5674518942832947},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5634741187095642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.562748908996582},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.518837571144104},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4621705412864685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4324406683444977},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4207199811935425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4127703309059143},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3752198815345764},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.jei.31.4.043015","doi":"https://doi.org/10.1117/1.jei.31.4.043015","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.31.4.043015","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2020399841","https://openalex.org/W2047920195","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2149669120","https://openalex.org/W2163935418","https://openalex.org/W2242218935","https://openalex.org/W2307425316","https://openalex.org/W2461158874","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2504335775","https://openalex.org/W2626778328","https://openalex.org/W2735224642","https://openalex.org/W2741137940","https://openalex.org/W2810821452","https://openalex.org/W2883718552","https://openalex.org/W2884436604","https://openalex.org/W2896457183","https://openalex.org/W2897097528","https://openalex.org/W2946540550","https://openalex.org/W2948913018","https://openalex.org/W2962785568","https://openalex.org/W2962849139","https://openalex.org/W2963031226","https://openalex.org/W2963341956","https://openalex.org/W2964101377","https://openalex.org/W2972373240","https://openalex.org/W2989630530","https://openalex.org/W2991088502","https://openalex.org/W2991970757","https://openalex.org/W2995007867","https://openalex.org/W3006956544","https://openalex.org/W3011265710","https://openalex.org/W3012728190","https://openalex.org/W3026900437","https://openalex.org/W3036234074","https://openalex.org/W3087020912","https://openalex.org/W3092948912","https://openalex.org/W3101267796","https://openalex.org/W3103242287","https://openalex.org/W3106721533","https://openalex.org/W3107955907","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3134760280","https://openalex.org/W3140413839","https://openalex.org/W3173275980","https://openalex.org/W3174865552","https://openalex.org/W3186210113","https://openalex.org/W3202903235","https://openalex.org/W3216466215","https://openalex.org/W6763480078","https://openalex.org/W6780879210"],"related_works":["https://openalex.org/W4408982369","https://openalex.org/W4390419131","https://openalex.org/W7160134990","https://openalex.org/W3137005722","https://openalex.org/W7202256598","https://openalex.org/W4308235807","https://openalex.org/W4391857579","https://openalex.org/W4392607678","https://openalex.org/W3173390516","https://openalex.org/W4323342251"],"abstract_inverted_index":{"With":[0],"the":[1,7,25,28,45,79,98,128,131,140,145,153,161,164,170,183,194,205,222,226],"great":[2],"development":[3],"of":[4,9,24,69,81,185,213,228],"deep":[5],"learning,":[6],"performance":[8,80,223],"single":[10,104],"image":[11,50,57,83,114,159,172,180,196],"super-resolution":[12],"(SR)":[13],"has":[14,134],"achieved":[15],"tremendous":[16],"progress.":[17],"As":[18],"an":[19,87,177],"emerging":[20],"and":[21,42,76,111,144,160,224],"promising":[22],"branch":[23,143],"SR":[26,30,90,100,118],"task,":[27],"arbitrary-scale":[29,56,82,89,94,99],"task":[31,101],"is":[32],"receiving":[33],"increasing":[34],"attention":[35],"from":[36,156],"researchers":[37],"due":[38],"to":[39,126,167,208,220],"its":[40,59],"efficiency":[41],"practicality.":[43],"Although":[44],"recent":[46],"work":[47],"learning":[48],"implicit":[49,113,179,195],"function":[51,181,197],"opened":[52],"a":[53,103,108,157,186,199],"solution":[54],"for":[55],"SR,":[58,84],"reconstructed":[60,214],"images":[61],"contained":[62],"structural":[63,211],"distortions":[64,212],"caused":[65],"by":[66,106,192],"defective":[67],"prediction":[68],"high-frequency":[70],"textures.":[71],"To":[72],"overcome":[73],"this":[74],"problem":[75],"further":[77,209],"improve":[78],"we":[85,175,203],"propose":[86],"effective":[88],"network,":[91],"namely,":[92],"enhanced":[93,112,178],"super-resolution,":[95],"which":[96,120],"achieves":[97],"in":[102,137,169,182],"model":[105],"introducing":[107],"local-global":[109,132],"encoder":[110,133],"function.":[115],"Unlike":[116],"conventional":[117],"methods,":[119],"only":[121],"stack":[122],"up":[123],"convolutional":[124],"blocks":[125],"extract":[127],"local":[129,141,154],"feature,":[130],"two":[135],"branches":[136],"parallel,":[138],"including":[139],"feature":[142,155],"global":[146,165],"prior":[147,166],"branch.":[148],"The":[149],"former":[150],"effectively":[151],"extracts":[152,163],"low-resolution":[158],"latter":[162],"assist":[168],"high-resolution":[171],"reconstruction.":[173],"Next,":[174],"redesigned":[176],"form":[184],"dual":[187],"modulation":[188],"multiplayer":[189],"perceptron":[190],"(MLP)":[191],"replacing":[193],"with":[198],"vanilla":[200],"MLP.":[201],"Moreover,":[202],"introduce":[204],"spatial":[206],"encoding":[207],"reduce":[210],"images.":[215],"Extensive":[216],"experiments":[217],"were":[218],"conducted":[219],"evaluate":[221],"demonstrate":[225],"superiority":[227],"our":[229],"proposed":[230],"model.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-07-21T00:00:00"}