{"id":"https://openalex.org/W3174841291","doi":"https://doi.org/10.1109/tmm.2021.3090166","title":"SRDRL: A Blind Super-Resolution Framework With Degradation Reconstruction Loss","display_name":"SRDRL: A Blind Super-Resolution Framework With Degradation Reconstruction Loss","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3174841291","doi":"https://doi.org/10.1109/tmm.2021.3090166","mag":"3174841291"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3090166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3090166","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5101673845","display_name":"Zongyao He","orcid":"https://orcid.org/0000-0001-5130-0423"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyao He","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5130-0423","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039127802","display_name":"Zhi Jin","orcid":"https://orcid.org/0000-0001-9670-7366"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Jin","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Robotics and Digital Intelligent Manufacturing Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9670-7366","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Digital Intelligent Manufacturing Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1744,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88573773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"2877","last_page":"2889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.994700014591217,"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":0.983299970626831,"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":0.8477826118469238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040981292724609},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.7583578824996948},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.6331413984298706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5484899878501892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403613448143005},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5263330340385437},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4999241828918457},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.48847949504852295},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4731282591819763},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4181445837020874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38089749217033386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36856549978256226},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25724923610687256}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8477826118469238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040981292724609},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.7583578824996948},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.6331413984298706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5484899878501892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403613448143005},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5263330340385437},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4999241828918457},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.48847949504852295},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4731282591819763},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4181445837020874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38089749217033386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36856549978256226},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25724923610687256},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3090166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3090166","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3910816902","display_name":null,"funder_award_id":"2018AAA0102100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6495957267","display_name":null,"funder_award_id":"61701313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6721293684","display_name":null,"funder_award_id":"62071500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7536822468","display_name":null,"funder_award_id":"U1936212","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":42,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1978749115","https://openalex.org/W2005227457","https://openalex.org/W2047920195","https://openalex.org/W2057126662","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2508457857","https://openalex.org/W2509348655","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2883102461","https://openalex.org/W2891158090","https://openalex.org/W2962814024","https://openalex.org/W2962903125","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963704386","https://openalex.org/W2963774720","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2966907728","https://openalex.org/W2971061988","https://openalex.org/W3012263291","https://openalex.org/W3033835243","https://openalex.org/W3034595214","https://openalex.org/W3092290620","https://openalex.org/W3093334928","https://openalex.org/W3098616015","https://openalex.org/W3107561632","https://openalex.org/W3111132958","https://openalex.org/W4229706427","https://openalex.org/W6637373629","https://openalex.org/W6687214662"],"related_works":["https://openalex.org/W3202223591","https://openalex.org/W3216158842","https://openalex.org/W4288103895","https://openalex.org/W3012322483","https://openalex.org/W3203374800","https://openalex.org/W2974792966","https://openalex.org/W2914107945","https://openalex.org/W2801811999","https://openalex.org/W4293519389","https://openalex.org/W4291801625"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,69],"witnessed":[3],"the":[4,18,36,50,91,115,130,133,161,165],"remarkable":[5],"success":[6],"of":[7,17,61,90],"deep":[8],"learning-based":[9],"single":[10],"image":[11,52],"super-resolution":[12],"(SISR)":[13],"methods.":[14],"However,":[15,83],"most":[16],"existing":[19,186],"SISR":[20],"methods":[21,68,86,169,172,188],"assume":[22],"that":[23,149,160],"low-resolution":[24],"(LR)":[25],"images":[26,75,120,123],"are":[27],"purely":[28],"bicubic":[29],"downsampled":[30],"from":[31],"high-resolution":[32],"(HR)":[33],"images.":[34],"Once":[35],"actual":[37],"degradation":[38,53,92,109,126,131,177],"is":[39,45,95,154],"not":[40],"bicubic,":[41],"their":[42],"outstanding":[43],"performance":[44],"hard":[46],"to":[47,72,97,189],"maintain.":[48],"Since":[49],"real-world":[51],"process":[54],"can":[55,150,180,196],"be":[56,181,197],"modeled":[57],"by":[58,129],"a":[59,108,125,141,182],"combination":[60],"downsampling,":[62],"blurring,":[63],"and":[64,80,121,136,170],"noise,":[65],"several":[66],"SR":[67,85,119,139,143,168,187],"been":[70],"proposed":[71,134,162],"super-resolve":[73],"LR":[74],"with":[76],"multiple":[77,152,191],"blur":[78],"kernels":[79],"noise":[81],"levels.":[82],"these":[84,104],"require":[87],"prior":[88,147],"knowledge":[89,148],"process,":[93],"which":[94,113],"difficult":[96],"obtain":[98],"in":[99],"practical":[100],"applications.":[101],"To":[102],"address":[103],"issues,":[105],"we":[106],"propose":[107],"reconstruction":[110,178],"loss":[111,179,184],"(DRL),":[112],"captures":[114],"degradation-wise":[116],"differences":[117],"between":[118],"HR":[122],"via":[124],"simulator.":[127],"Empowered":[128],"simulator,":[132],"loss,":[135],"an":[137],"efficient":[138],"network,":[140],"blind":[142,167],"framework":[144],"(SRDRL)":[145],"without":[146],"handle":[151,190],"degradations":[153],"formed.":[155],"Extensive":[156],"experimental":[157],"results":[158],"demonstrate":[159],"SRDRL":[163],"outperforms":[164],"state-of-the-art":[166],"denosing+SR":[171],"on":[173],"multi-degraded":[174],"datasets.":[175],"The":[176,193],"plug-and-play":[183],"for":[185],"degradations.":[192],"source":[194],"code":[195],"found":[198],"athttps://github.com/FVL2020/SRDRL.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}