{"id":"https://openalex.org/W4294891419","doi":"https://doi.org/10.1109/tcsvt.2022.3204642","title":"Gradient-Guided Single Image Super-Resolution Based on Joint Trilateral Feature Filtering","display_name":"Gradient-Guided Single Image Super-Resolution Based on Joint Trilateral Feature Filtering","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4294891419","doi":"https://doi.org/10.1109/tcsvt.2022.3204642"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3204642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3204642","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5018613505","display_name":"Yifan Zuo","orcid":"https://orcid.org/0000-0003-4980-7211"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zuo","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-4980-7211","affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028377983","display_name":"Jiacheng Xie","orcid":"https://orcid.org/0000-0002-7136-1140"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Xie","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446119","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-3540-2371"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-6946-3586","affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033159071","display_name":"Deyang Liu","orcid":"https://orcid.org/0000-0001-7991-8735"},"institutions":[{"id":"https://openalex.org/I46482218","display_name":"Anqing Normal University","ror":"https://ror.org/0127ytz78","country_code":"CN","type":"education","lineage":["https://openalex.org/I46482218"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyang Liu","raw_affiliation_strings":["School of Computer Science and Information, Anqing Normal University, Anqing, China"],"raw_orcid":"https://orcid.org/0000-0001-7991-8735","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information, Anqing Normal University, Anqing, China","institution_ids":["https://openalex.org/I46482218"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037182288","display_name":"Wenying Wen","orcid":"https://orcid.org/0000-0002-3098-4640"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Wen","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-3098-4640","affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3703,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82058494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"2","first_page":"505","last_page":"520"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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":0.996999979019165,"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/upsampling","display_name":"Upsampling","score":0.7712960243225098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860805153846741},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.615022599697113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862573385238647},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5448300242424011},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49953746795654297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49513664841651917},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4939947724342346},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46333423256874084},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4494723975658417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40933656692504883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3233187794685364},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.30137068033218384},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2602396011352539},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.246537446975708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23347774147987366}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7712960243225098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860805153846741},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.615022599697113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862573385238647},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5448300242424011},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49953746795654297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49513664841651917},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4939947724342346},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46333423256874084},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4494723975658417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40933656692504883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3233187794685364},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.30137068033218384},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2602396011352539},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.246537446975708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23347774147987366},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3204642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3204642","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G1587805876","display_name":null,"funder_award_id":"62171002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2143609571","display_name":null,"funder_award_id":"62271237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3255470354","display_name":null,"funder_award_id":"61901197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5164972958","display_name":null,"funder_award_id":"2018AAA0100601","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8509180683","display_name":null,"funder_award_id":"20212BAB202011","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1974949120","https://openalex.org/W1976416062","https://openalex.org/W1988128371","https://openalex.org/W2021430546","https://openalex.org/W2030716039","https://openalex.org/W2035677848","https://openalex.org/W2047920195","https://openalex.org/W2057126662","https://openalex.org/W2084134149","https://openalex.org/W2087436818","https://openalex.org/W2099244020","https://openalex.org/W2102166818","https://openalex.org/W2109075629","https://openalex.org/W2118273112","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2141983208","https://openalex.org/W2148312679","https://openalex.org/W2157494358","https://openalex.org/W2160451035","https://openalex.org/W2164551808","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2293078015","https://openalex.org/W2343734370","https://openalex.org/W2408231975","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2520808298","https://openalex.org/W2581673920","https://openalex.org/W2607041014","https://openalex.org/W2613155248","https://openalex.org/W2739757502","https://openalex.org/W2780544323","https://openalex.org/W2866634454","https://openalex.org/W2886692902","https://openalex.org/W2891158090","https://openalex.org/W2903417465","https://openalex.org/W2922435819","https://openalex.org/W2923898639","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963729050","https://openalex.org/W2963870605","https://openalex.org/W2963980268","https://openalex.org/W2963986095","https://openalex.org/W2964101377","https://openalex.org/W3008297311","https://openalex.org/W3010250471","https://openalex.org/W3010638262","https://openalex.org/W3011456574","https://openalex.org/W3018586778","https://openalex.org/W3034247386","https://openalex.org/W3034785019","https://openalex.org/W3035280441","https://openalex.org/W3035557850","https://openalex.org/W3089400682","https://openalex.org/W3092290620","https://openalex.org/W3101659800","https://openalex.org/W3101690711","https://openalex.org/W3104196124","https://openalex.org/W3138516171","https://openalex.org/W3149210910","https://openalex.org/W3170026688","https://openalex.org/W3177349073","https://openalex.org/W3187276661","https://openalex.org/W3203631022","https://openalex.org/W4206077960","https://openalex.org/W4214862086","https://openalex.org/W4226152953","https://openalex.org/W4226334005","https://openalex.org/W4241716071","https://openalex.org/W6631190155","https://openalex.org/W6714128742","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2883526919","https://openalex.org/W4312567938","https://openalex.org/W2392844237","https://openalex.org/W2610832043","https://openalex.org/W2362181716","https://openalex.org/W3087840940","https://openalex.org/W2184534228","https://openalex.org/W1969760543","https://openalex.org/W2990098927","https://openalex.org/W2377697313"],"abstract_inverted_index":{"The":[0,16,219],"state":[1],"of":[2,6,18,43,86,100,175],"the":[3,32,41,62,70,80,84,105,109,114,121,154,160,173,187],"arts":[4],"(SOTAs)":[5],"single":[7],"image":[8,91,129,143,176],"super-resolution":[9],"always":[10],"exploit":[11],"guidance":[12,20,45,150],"from":[13,73],"gradient":[14,19,44,94,133,146,179],"prior.":[15],"fusion":[17,161],"is":[21,58,181,193,221],"implemented":[22],"by":[23,27,68,141],"channel-wise":[24],"concatenation":[25],"followed":[26],"a":[28,54,167],"convolutional":[29],"layer.":[30],"However,":[31],"kernels":[33],"sharing":[34],"in":[35,108,223],"spatial":[36],"positions":[37],"cannot":[38],"adaptively":[39,158],"tune":[40],"effect":[42],"for":[46,90,163,195],"all":[47],"feature":[48],"positions.":[49],"To":[50],"resolve":[51],"this":[52,118],"problem,":[53],"novel":[55],"network":[56],"module":[57],"proposed":[59,115,155,188],"to":[60,75,78,151],"simulate":[61],"traditional":[63,110],"Joint":[64],"Trilateral":[65],"Filter":[66],"(JTF)":[67],"extending":[69],"definition":[71],"domain":[72],"pixels":[74],"features.":[76],"Moreover,":[77],"improve":[79],"efficiency":[81],"and":[82,93,131,145,178,199,211,213],"flexibility,":[83],"functions":[85,107],"JTF":[87,116,156],"kernel":[88,102],"generation":[89],"features":[92,95,130,134,144,147,165,177,180],"are":[96],"explicitly":[97],"learned":[98],"instead":[99],"individual":[101],"weights,":[103],"e.g.,":[104],"exponential":[106],"JTF.":[111],"Based":[112],"on":[113,202],"modules,":[117],"paper":[119],"follows":[120],"gradient-guided":[122],"framework":[123],"which":[124,192],"simultaneously":[125],"infers":[126],"high-resolution":[127],"(HR)":[128],"HR":[132],"within":[135],"two":[136],"parallel":[137],"branches,":[138],"respectively.":[139],"Specifically,":[140],"treating":[142],"as":[148],"cross":[149],"each":[152],"other,":[153],"modules":[157],"adjust":[159],"patterns":[162],"local":[164],"via":[166],"bi-directional":[168],"way.":[169],"By":[170],"doing":[171],"so,":[172],"quality":[174],"alternatively":[182],"enhanced.":[183],"Compared":[184],"with":[185],"SOTAs,":[186],"JTF-SISR":[189],"shows":[190],"improvement":[191],"evaluated":[194],"multiple":[196],"upsampling":[197],"scales":[198],"degradation":[200],"modes":[201],"5":[203],"synthetic":[204],"datasets,":[205],"i.e.,":[206,217],"Set5,":[207],"Set14,":[208],"B100,":[209],"Urban100":[210],"Manga109,":[212],"1":[214],"real":[215],"dataset,":[216],"RealSRSet.":[218],"code":[220],"public":[222],"<uri":[224],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/a239xjc/JTF-SISR</uri>":[226],".":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
