{"id":"https://openalex.org/W3128854684","doi":"https://doi.org/10.1109/tcyb.2020.3044374","title":"Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking","display_name":"Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking","publication_year":2021,"publication_date":"2021-02-03","ids":{"openalex":"https://openalex.org/W3128854684","doi":"https://doi.org/10.1109/tcyb.2020.3044374","mag":"3128854684","pmid":"https://pubmed.ncbi.nlm.nih.gov/33531310"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3044374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3044374","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5067013431","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-6072-337X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6072-337X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101755124","display_name":"Xiaoting Du","orcid":"https://orcid.org/0000-0002-6963-551X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Du","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6963-551X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052760224","display_name":"Mingfei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfei Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084746603","display_name":"Shuwei Huo","orcid":"https://orcid.org/0000-0002-7290-7838"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Huo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002031339","display_name":"Yeda Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeda Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072714962","display_name":"Sun\u2010Yuan Kung","orcid":"https://orcid.org/0000-0002-7314-0720"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sun-Yuan Kung","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4256,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90553378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"7","first_page":"5855","last_page":"5867"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9958000183105469,"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-science","display_name":"Computer science","score":0.7883741855621338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6971854567527771},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6399424076080322},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.620982825756073},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.5634368658065796},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.557106077671051},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5525991320610046},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5007507801055908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4764968752861023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46378859877586365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43631336092948914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13149219751358032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883741855621338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6971854567527771},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6399424076080322},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.620982825756073},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.5634368658065796},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.557106077671051},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5525991320610046},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5007507801055908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4764968752861023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46378859877586365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43631336092948914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13149219751358032},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3044374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3044374","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33531310","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33531310","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5199999809265137,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2941027128","display_name":null,"funder_award_id":"2020YFC1523204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7738052025","display_name":null,"funder_award_id":"U2006211","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1906770428","https://openalex.org/W1930824406","https://openalex.org/W1988882685","https://openalex.org/W2017399967","https://openalex.org/W2037642501","https://openalex.org/W2056370875","https://openalex.org/W2105250910","https://openalex.org/W2118963448","https://openalex.org/W2119634769","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2142683286","https://openalex.org/W2146337213","https://openalex.org/W2151047074","https://openalex.org/W2160558632","https://openalex.org/W2207282238","https://openalex.org/W2212985400","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2271840356","https://openalex.org/W2342695184","https://openalex.org/W2344138609","https://openalex.org/W2466611277","https://openalex.org/W2476548250","https://openalex.org/W2519021537","https://openalex.org/W2520164769","https://openalex.org/W2551161082","https://openalex.org/W2553668389","https://openalex.org/W2560533888","https://openalex.org/W2607041014","https://openalex.org/W2613155248","https://openalex.org/W2736515478","https://openalex.org/W2737534804","https://openalex.org/W2747898905","https://openalex.org/W2780544323","https://openalex.org/W2789677693","https://openalex.org/W2791155853","https://openalex.org/W2794210977","https://openalex.org/W2795024892","https://openalex.org/W2799120945","https://openalex.org/W2799709097","https://openalex.org/W2804196292","https://openalex.org/W2805163084","https://openalex.org/W2805582514","https://openalex.org/W2866634454","https://openalex.org/W2891361818","https://openalex.org/W2891761377","https://openalex.org/W2895598217","https://openalex.org/W2900331589","https://openalex.org/W2906074946","https://openalex.org/W2914107945","https://openalex.org/W2918674988","https://openalex.org/W2919720707","https://openalex.org/W2928165649","https://openalex.org/W2938555542","https://openalex.org/W2941051176","https://openalex.org/W2947156405","https://openalex.org/W2947376905","https://openalex.org/W2950217418","https://openalex.org/W2955731188","https://openalex.org/W2962720047","https://openalex.org/W2963103155","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963494934","https://openalex.org/W2963729050","https://openalex.org/W2963986095","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2964217532","https://openalex.org/W2966518004","https://openalex.org/W2990007814","https://openalex.org/W3005772406","https://openalex.org/W3007490889","https://openalex.org/W3023064088","https://openalex.org/W3035302306","https://openalex.org/W4242059867","https://openalex.org/W6624640001","https://openalex.org/W6638194035","https://openalex.org/W6681686951","https://openalex.org/W6683781035","https://openalex.org/W6752237900","https://openalex.org/W6753074096","https://openalex.org/W6757462742","https://openalex.org/W6758681311","https://openalex.org/W6761176859"],"related_works":["https://openalex.org/W244738299","https://openalex.org/W777051326","https://openalex.org/W3084502757","https://openalex.org/W2392312325","https://openalex.org/W2356677187","https://openalex.org/W2022808025","https://openalex.org/W2384663326","https://openalex.org/W1969222789","https://openalex.org/W2990636717","https://openalex.org/W2972212393"],"abstract_inverted_index":{"In":[0,81],"general,":[1],"image":[2,41,158],"restoration":[3,159],"involves":[4],"mapping":[5,15],"from":[6],"low-quality":[7],"images":[8],"to":[9,44,72,77,90,107,132],"their":[10],"high-quality":[11],"counterparts.":[12],"Such":[13],"optimal":[14],"is":[16,37,60,88],"usually":[17],"nonlinear":[18],"and":[19,56,125,153],"learnable":[20],"by":[21],"machine":[22],"learning.":[23],"Recently,":[24],"deep":[25],"convolutional":[26],"neural":[27],"networks":[28],"have":[29,66],"proven":[30],"promising":[31],"for":[32,39,156],"such":[33],"learning":[34],"processing.":[35],"It":[36,59],"desirable":[38],"an":[40],"processing":[42],"network":[43,106,117],"support":[45,78],"well":[46],"with":[47],"three":[48,113],"vital":[49],"tasks,":[50],"namely:":[51],"1)":[52],"super-resolution;":[53],"2)":[54],"denoising;":[55],"3)":[57],"deblocking.":[58],"commonly":[61],"recognized":[62],"that":[63,143],"these":[64,96],"tasks":[65,135],"strong":[67],"correlations,":[68],"which":[69],"enable":[70],"us":[71],"design":[73],"a":[74,137],"general":[75,138],"framework":[76],"all":[79],"tasks.":[80,97,114,160],"particular,":[82],"the":[83,93,103,112,144],"selection":[84],"of":[85],"feature":[86,128],"scales":[87,124],"known":[89],"significantly":[91],"impact":[92],"performance":[94],"on":[95],"To":[98],"this":[99],"end,":[100],"we":[101],"propose":[102],"cross-scale":[104],"residual":[105],"exploit":[108],"scale-related":[109],"features":[110,121],"among":[111],"The":[115],"proposed":[116,145],"can":[118],"extract":[119],"spatial":[120],"across":[122],"different":[123,134],"establish":[126],"cross-temporal":[127],"reusage,":[129],"so":[130],"as":[131],"handle":[133],"in":[136,150],"framework.":[139],"Our":[140],"experiments":[141],"show":[142],"approach":[146],"outperforms":[147],"state-of-the-art":[148],"methods":[149],"both":[151],"quantitative":[152],"qualitative":[154],"evaluations":[155],"multiple":[157]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
