{"id":"https://openalex.org/W4388520001","doi":"https://doi.org/10.1109/tcsvt.2023.3331883","title":"Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset","display_name":"Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4388520001","doi":"https://doi.org/10.1109/tcsvt.2023.3331883"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3331883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3331883","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/A5002763479","display_name":"Guangyong Chen","orcid":"https://orcid.org/0000-0003-2088-9188"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guang-Yong Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085556091","display_name":"Wu-Ding Weng","orcid":"https://orcid.org/0009-0007-3062-9853"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu-Ding Weng","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075554672","display_name":"Jian-Nan Su","orcid":"https://orcid.org/0000-0002-8206-3675"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Nan Su","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047001937","display_name":"Min Gan","orcid":"https://orcid.org/0000-0002-2756-0054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Gan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002763479"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.4468,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84526565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"34","issue":"6","first_page":"4762","last_page":"4772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9911999702453613,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9829000234603882,"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":0.7762339115142822},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6441076993942261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642113208770752},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5874950289726257},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5161986947059631},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.5059532523155212},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5045140981674194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47598257660865784},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4404492974281311},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43878495693206787},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4310588240623474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4018831253051758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3523179888725281},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29920679330825806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762339115142822},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6441076993942261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642113208770752},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5874950289726257},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5161986947059631},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.5059532523155212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5045140981674194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47598257660865784},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4404492974281311},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43878495693206787},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4310588240623474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4018831253051758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3523179888725281},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29920679330825806},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3331883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3331883","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","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G155960752","display_name":null,"funder_award_id":"62073082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8071839756","display_name":null,"funder_award_id":"2023J01268","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G853532758","display_name":null,"funder_award_id":"62173091","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1992303731","https://openalex.org/W1995228944","https://openalex.org/W2039539938","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2739757502","https://openalex.org/W2799192307","https://openalex.org/W2866634454","https://openalex.org/W2883102461","https://openalex.org/W2915130236","https://openalex.org/W2950689937","https://openalex.org/W2952773607","https://openalex.org/W2962785568","https://openalex.org/W2962814024","https://openalex.org/W2962903125","https://openalex.org/W2963372104","https://openalex.org/W2963676087","https://openalex.org/W2963686971","https://openalex.org/W2963704386","https://openalex.org/W2963774720","https://openalex.org/W2963986095","https://openalex.org/W2964277374","https://openalex.org/W2971292464","https://openalex.org/W3011456574","https://openalex.org/W3034259513","https://openalex.org/W3034785019","https://openalex.org/W3035190116","https://openalex.org/W3035550118","https://openalex.org/W3096831136","https://openalex.org/W3106180885","https://openalex.org/W3155072588","https://openalex.org/W3168684807","https://openalex.org/W3171175128","https://openalex.org/W3174300208","https://openalex.org/W3174829522","https://openalex.org/W3175949974","https://openalex.org/W3178192988","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W4225506672","https://openalex.org/W4280541456","https://openalex.org/W4312283145","https://openalex.org/W4312509301","https://openalex.org/W4312791262","https://openalex.org/W4316660751","https://openalex.org/W4381198666","https://openalex.org/W6631190155","https://openalex.org/W6767785265","https://openalex.org/W6799439929","https://openalex.org/W6810407716"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2136313643","https://openalex.org/W2087564795","https://openalex.org/W2011367085","https://openalex.org/W3136545447","https://openalex.org/W2768613569"],"abstract_inverted_index":{"Blind":[0],"Super-Resolution":[1],"(BlindSR)":[2],"aims":[3],"to":[4,57,66,111,148,164,206],"reconstruct":[5],"high-resolution":[6],"(HR)":[7],"images":[8,12],"from":[9,54],"low-resolution":[10],"(LR)":[11],"without":[13],"prior":[14],"knowledge":[15],"of":[16,62,71,115,139,180],"the":[17,30,44,68,89,94,104,113,135,140,165],"image":[18,45,142,150,195],"degradation":[19,31,46,72,106,137],"process.":[20],"This":[21],"is":[22,162],"a":[23,87,124,155,176],"challenging":[24],"problem":[25,168],"in":[26,47,78],"real-world":[27,105,166],"applications,":[28],"where":[29],"can":[32,42,133,174,192],"be":[33],"complex":[34],"and":[35,60,145,173,200],"unknown.":[36],"Recent":[37],"unsupervised":[38,49],"learning-based":[39],"BlindSR":[40,116,167,181,190],"methods":[41],"estimate":[43,134],"an":[48],"manner,":[50],"but":[51],"they":[52],"suffer":[53],"limited":[55],"adaptability":[56],"different":[58],"types":[59],"intensities":[61],"degradation.":[63],"They":[64],"tend":[65],"capture":[67],"average":[69],"level":[70],"across":[73],"all":[74],"training":[75],"samples,":[76],"resulting":[77],"over-smoothing":[79],"or":[80],"over-sharpening":[81],"effects":[82],"for":[83,208],"some":[84],"images.":[85],"As":[86],"result,":[88],"final":[90],"reconstruction":[91,196],"may":[92],"exhibit":[93],"mean":[95],"effect.":[96],"Moreover,":[97],"existing":[98,170],"synthetic":[99,171],"datasets":[100],"do":[101],"not":[102],"reflect":[103],"scenarios,":[107,160],"making":[108],"it":[109,147],"difficult":[110],"evaluate":[112],"performance":[114],"methods.":[117,182],"To":[118],"address":[119],"these":[120],"issues,":[121],"we":[122,153],"propose":[123],"novel":[125],"Degradation":[126],"Intensity":[127],"Estimation":[128],"Module":[129],"(DIEM)":[130],"method,":[131],"which":[132,161],"pixel-level":[136],"information":[138],"input":[141],"more":[143,177],"specifically":[144],"use":[146],"guide":[149],"reconstruction.":[151],"Furthermore,":[152],"construct":[154],"benchmark":[156],"dataset":[157],"under":[158],"real":[159],"closer":[163],"than":[169],"datasets,":[172],"provide":[175],"reasonable":[178],"evaluation":[179],"Extensive":[183],"experimental":[184],"results":[185],"demonstrate":[186],"that":[187],"our":[188],"DIEM-guided":[189],"method":[191],"achieve":[193],"state-of-the-art":[194],"results.":[197],"Our":[198],"code":[199],"pre-trained":[201],"models":[202],"have":[203],"been":[204],"uploaded":[205],"GitHub\u2020":[207],"validation.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
