{"id":"https://openalex.org/W3010638262","doi":"https://doi.org/10.1109/tip.2020.2973769","title":"Soft-Edge Assisted Network for Single Image Super-Resolution","display_name":"Soft-Edge Assisted Network for Single Image Super-Resolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010638262","doi":"https://doi.org/10.1109/tip.2020.2973769","mag":"3010638262","pmid":"https://pubmed.ncbi.nlm.nih.gov/32092001"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2973769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2973769","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4511-4813","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648014","display_name":"Juncheng Li","orcid":"https://orcid.org/0000-0001-7314-6754"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Li","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7314-6754","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["Department of Mathematics, The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0688-202X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.5457,"has_fulltext":false,"cited_by_count":178,"citation_normalized_percentile":{"value":0.99187785,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"4656","last_page":"4668"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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":0.9969000220298767,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7241663336753845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6510682702064514},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5926240086555481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5760217308998108},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5663347840309143},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5618783831596375},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5379247665405273},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4947440028190613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4907620847225189},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46382251381874084},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.44907480478286743},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41561856865882874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4056239426136017},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39712759852409363}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7241663336753845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6510682702064514},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5926240086555481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5760217308998108},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5663347840309143},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5618783831596375},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5379247665405273},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4947440028190613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4907620847225189},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46382251381874084},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44907480478286743},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41561856865882874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4056239426136017},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39712759852409363},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.2973769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2973769","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32092001","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32092001","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2469445726","display_name":"\u9065\u611f\u56fe\u50cf\u5feb\u901f\u62fc\u63a5\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61871185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5391332462","display_name":null,"funder_award_id":"61731009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7073293704","display_name":null,"funder_award_id":"17CG25","funder_id":"https://openalex.org/F4320321659","funder_display_name":"Shanghai Education Development Foundation"},{"id":"https://openalex.org/G7145166970","display_name":"\u57fa\u4e8e\u5757\u7ec4\u4f4e\u79e9\u7a00\u758f\u7ed3\u6784\u7684\u56fe\u50cf\u5904\u7406\u53d8\u5206\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"11671002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321659","display_name":"Shanghai Education Development Foundation","ror":"https://ror.org/02kq92y46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W4136762","https://openalex.org/W7682646","https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1973788353","https://openalex.org/W1978749115","https://openalex.org/W2033021901","https://openalex.org/W2047920195","https://openalex.org/W2099470017","https://openalex.org/W2103346247","https://openalex.org/W2110158442","https://openalex.org/W2117865218","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2125325064","https://openalex.org/W2140257560","https://openalex.org/W2150081556","https://openalex.org/W2157375181","https://openalex.org/W2161516371","https://openalex.org/W2170573007","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2195231623","https://openalex.org/W2200594420","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2295477204","https://openalex.org/W2343734370","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2631883531","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2753305843","https://openalex.org/W2754594045","https://openalex.org/W2895598217","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964125708","https://openalex.org/W3101659800","https://openalex.org/W3104196124","https://openalex.org/W3104720471","https://openalex.org/W3105403262","https://openalex.org/W6600161081","https://openalex.org/W6602211262","https://openalex.org/W6624640001","https://openalex.org/W6638194035","https://openalex.org/W6683660953","https://openalex.org/W6724673846","https://openalex.org/W6755102754"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"The":[0,142,166,232],"task":[1],"of":[2,53,58,70,115,139,146,171,197,229],"single":[3],"image":[4,21,39,43,89,98,118,135,140,151,162,212,230],"super-resolution":[5,27],"(SISR)":[6],"is":[7,22,61,73,79,85,234],"a":[8,19,125,149,155],"highly":[9],"ill-posed":[10],"inverse":[11],"problem":[12],"since":[13],"reconstructing":[14],"the":[15,34,37,41,51,56,59,63,67,76,88,93,97,101,113,132,137,176,182,188,195,198,207,227],"highfrequency":[16],"details":[17],"from":[18,36],"low-resolution":[20,38],"challenging.":[23],"Most":[24],"previous":[25,199],"CNN-based":[26],"(SR)":[28],"methods":[29,72],"tend":[30],"to":[31,40,86,95,130,206],"directly":[32],"learn":[33],"mapping":[35],"high-resolution":[42],"through":[44],"some":[45],"complex":[46],"convolutional":[47],"neural":[48],"networks.":[49],"However,":[50],"method":[52,84],"blindly":[54],"increasing":[55],"depth":[57],"network":[60,153,158,164],"not":[62],"best":[64],"choice":[65],"because":[66],"performance":[68,225],"improvement":[69],"such":[71],"marginal":[74],"but":[75],"computational":[77],"cost":[78],"huge.":[80],"A":[81],"more":[82],"efficient":[83],"integrate":[87],"prior":[90],"knowledge":[91],"into":[92],"model":[94],"assist":[96],"reconstruction.":[99,213],"Indeed,":[100],"soft-edge":[102,156,184],"has":[103],"been":[104],"widely":[105],"applied":[106],"in":[107],"many":[108],"computer":[109],"vision":[110],"tasks":[111],"as":[112],"role":[114],"an":[116,161],"important":[117],"feature.":[119],"In":[120,174,193],"this":[121],"paper,":[122],"we":[123],"propose":[124],"Soft-edge":[126],"assisted":[127],"Network":[128],"(SeaNet)":[129],"reconstruct":[131],"high-quality":[133,210],"SR":[134,178,183,211],"with":[136],"help":[138],"soft-edge.":[141,231],"proposed":[143],"SeaNet":[144,219],"consists":[145,170],"three":[147],"sub-nets:":[148],"rough":[150,177],"reconstruction":[152,157,168],"(RIRN),":[154],"(Edge-Net),":[159],"and":[160,181,190,203,222],"refinement":[163],"(IRN).":[165],"complete":[167],"process":[169],"two":[172],"stages.":[173],"Stage-I,":[175],"feature":[179],"maps":[180],"are":[185,201],"reconstructed":[186],"by":[187],"RIRN":[189],"Edge-Net,":[191],"respectively.":[192],"Stage-II,":[194],"outputs":[196],"stages":[200],"fused":[202],"then":[204],"feed":[205],"IRN":[208],"for":[209],"Extensive":[214],"experiments":[215],"show":[216],"that":[217],"our":[218],"converges":[220],"rapidly":[221],"achieves":[223],"excellent":[224],"under":[226],"assistance":[228],"code":[233],"available":[235],"at":[236],"https://gitlab.com/junchenglee/seanet-pytorch.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}