{"id":"https://openalex.org/W4395682721","doi":"https://doi.org/10.1109/tci.2024.3393712","title":"Arbitrary-Scale Image Super-Resolution via Degradation Perception","display_name":"Arbitrary-Scale Image Super-Resolution via Degradation Perception","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395682721","doi":"https://doi.org/10.1109/tci.2024.3393712"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3393712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3393712","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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/A5077447732","display_name":"Wenbo Wan","orcid":"https://orcid.org/0000-0003-1447-0524"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Wan","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Ji'nan, China"],"raw_orcid":"https://orcid.org/0000-0003-1447-0524","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Ji'nan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104288829","display_name":"Zezhu Wang","orcid":"https://orcid.org/0009-0000-0523-4269"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhu Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Ji'nan, China"],"raw_orcid":"https://orcid.org/0009-0000-0523-4269","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Ji'nan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114430029","display_name":"Zhiyan Wang","orcid":"https://orcid.org/0009-0000-7448-5117"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyan Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Ji'nan, China"],"raw_orcid":"https://orcid.org/0009-0000-7448-5117","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Ji'nan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052150437","display_name":"Lingchen Gu","orcid":"https://orcid.org/0000-0003-3127-3119"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingchen Gu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Ji'nan, China"],"raw_orcid":"https://orcid.org/0000-0003-3127-3119","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Ji'nan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080244427","display_name":"Jiande Sun","orcid":"https://orcid.org/0000-0001-6157-2051"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiande Sun","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Ji'nan, China"],"raw_orcid":"https://orcid.org/0000-0001-6157-2051","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Ji'nan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100366955","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-2018-1764"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Key Laboratory of Manufacturing Industrial Integrated, Shenyang University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2018-1764","affiliations":[{"raw_affiliation_string":"Key Laboratory of Manufacturing Industrial Integrated, Shenyang University, Shenyang, China","institution_ids":["https://openalex.org/I42852656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077447732"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":2.1427,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88212891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"666","last_page":"676"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.647091805934906},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5980268120765686},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5698108077049255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480669736862183},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5409184098243713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.540807843208313},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.48129382729530334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4797428846359253},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4634757936000824},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44287556409835815},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41070619225502014},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1488942801952362},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13029026985168457},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09701552987098694}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.647091805934906},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5980268120765686},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5698108077049255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480669736862183},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5409184098243713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.540807843208313},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.48129382729530334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4797428846359253},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4634757936000824},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44287556409835815},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41070619225502014},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1488942801952362},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13029026985168457},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09701552987098694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3393712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3393712","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G5786164676","display_name":null,"funder_award_id":"ZR2020MF135","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7309481675","display_name":null,"funder_award_id":"62073205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8162618759","display_name":null,"funder_award_id":"ZR2023LZH013","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W134193804","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2088254198","https://openalex.org/W2098506229","https://openalex.org/W2121927366","https://openalex.org/W2131349449","https://openalex.org/W2133665775","https://openalex.org/W2150081556","https://openalex.org/W2163935418","https://openalex.org/W2214802144","https://openalex.org/W2476548250","https://openalex.org/W2562637781","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2952773607","https://openalex.org/W2954930822","https://openalex.org/W2963031226","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2964101377","https://openalex.org/W2987150909","https://openalex.org/W3013529009","https://openalex.org/W3034421924","https://openalex.org/W3035304632","https://openalex.org/W3085075731","https://openalex.org/W3096739052","https://openalex.org/W3111802831","https://openalex.org/W3130524528","https://openalex.org/W3186210113","https://openalex.org/W3193508667","https://openalex.org/W3202903235","https://openalex.org/W3204491849","https://openalex.org/W4214561696","https://openalex.org/W4281673321","https://openalex.org/W4285133379","https://openalex.org/W4294891419","https://openalex.org/W4308235807","https://openalex.org/W4312106662","https://openalex.org/W4312372299","https://openalex.org/W4319300887","https://openalex.org/W4321607998","https://openalex.org/W4360887305","https://openalex.org/W4386065725","https://openalex.org/W4386076246","https://openalex.org/W4386076460","https://openalex.org/W4386492140","https://openalex.org/W6787334116","https://openalex.org/W6802807213","https://openalex.org/W6804071762","https://openalex.org/W6843259600"],"related_works":["https://openalex.org/W2534928293","https://openalex.org/W2150099345","https://openalex.org/W2160318243","https://openalex.org/W2357322570","https://openalex.org/W1490077415","https://openalex.org/W2997591215","https://openalex.org/W2227541280","https://openalex.org/W3004580327","https://openalex.org/W4386158998","https://openalex.org/W2537408670"],"abstract_inverted_index":{"In":[0,56],"recent":[1],"years,":[2],"with":[3,67,93,182],"the":[4,34,37,48,106,111,118,125,143,153,162,176],"rapid":[5],"development":[6],"of":[7,31,76,110,127,178],"deep":[8],"learning,":[9],"super-resolution":[10,126,177],"research":[11],"oriented":[12],"towards":[13],"arbitrary":[14,17,41,97,184],"scale":[15,21,42,54,72,98,129,185],"(e.g.,":[16],"integer":[18],"and":[19,151],"non-integer":[20],"factors)":[22],"factors":[23,43,99],"has":[24],"achieved":[25],"great":[26],"success.":[27],"However,":[28],"in":[29,36,175],"terms":[30],"pixel":[32,119,145],"space,":[33],"degradation":[35,49,69],"same":[38],"image":[39,181],"at":[40,70],"is":[44,50],"spatially":[45],"variable.":[46],"Similarly,":[47],"variable":[51],"for":[52],"different":[53,71,94],"factors.":[55],"this":[57],"paper,":[58],"we":[59,131],"propose":[60,132],"a":[61,87,101,133,148,179],"method":[62,90,171],"that":[63,122,169],"can":[64],"adaptively":[65],"deal":[66,92],"varying":[68],"factors,":[73,130],"which":[74],"consists":[75],"two":[77],"parts.":[78],"The":[79],"first":[80],"part,":[81],"Image":[82],"Refinement":[83],"Network":[84],"(IRN),":[85],"adopts":[86],"dynamic":[88],"convolution":[89,113],"to":[91,159],"degradations":[95],"under":[96],"on":[100],"pixel-by-pixel":[102],"basis.":[103],"It":[104,141],"solves":[105],"spatial":[107],"invariance":[108],"problem":[109],"ordinary":[112],"kernel.":[114],"For":[115],"well":[116],"calculating":[117],"mapping":[120],"relationships":[121],"change":[123],"during":[124],"arbitary":[128],"second":[134],"Module,":[135],"Super-Resolution":[136],"Encoding":[137],"Guidance":[138],"Module":[139],"(SREGM).":[140],"takes":[142],"high-resolution":[144,163],"space":[146],"as":[147,156],"reference":[149],"frame":[150],"uses":[152],"modelling":[154],"results":[155,174],"prior":[157],"information":[158],"better":[160],"guide":[161],"reconstruction.":[164],"Extensive":[165],"experiments":[166],"have":[167],"shown":[168],"our":[170],"achieves":[172],"good":[173],"single":[180],"an":[183],"factor.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}