{"id":"https://openalex.org/W4206530213","doi":"https://doi.org/10.1109/vcip53242.2021.9675367","title":"Deep Learning-Based Blind Image Super-Resolution using Iterative Networks","display_name":"Deep Learning-Based Blind Image Super-Resolution using Iterative Networks","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206530213","doi":"https://doi.org/10.1109/vcip53242.2021.9675367"},"language":"en","primary_location":{"id":"doi:10.1109/vcip53242.2021.9675367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675367","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-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/A5008192215","display_name":"Asfand Yaar","orcid":null},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Asfand Yaar","raw_affiliation_strings":["Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","institution_ids":["https://openalex.org/I3125470973"]},{"raw_affiliation_string":"School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004267367","display_name":"Hasan F. Ate\u015f","orcid":"https://orcid.org/0000-0002-6842-1528"},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan F. Ates","raw_affiliation_strings":["Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","institution_ids":["https://openalex.org/I3125470973"]},{"raw_affiliation_string":"School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061909708","display_name":"Bahad\u0131r K. G\u00fcnt\u00fcrk","orcid":"https://orcid.org/0000-0003-0779-9620"},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bahadir K. Gunturk","raw_affiliation_strings":["Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Medipol University,School of Engineering and Natural Sciences,Turkey","institution_ids":["https://openalex.org/I3125470973"]},{"raw_affiliation_string":"School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008192215"],"corresponding_institution_ids":["https://openalex.org/I3125470973"],"apc_list":null,"apc_paid":null,"fwci":0.196,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59432604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.996399998664856,"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":0.9943000078201294,"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/kernel","display_name":"Kernel (algebra)","score":0.8101992607116699},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.8023921251296997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7836716175079346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6185583472251892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903218984603882},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5752275586128235},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.548736572265625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5249447822570801},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5212048292160034},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.509082019329071},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4648389518260956},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.422978937625885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3788001537322998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3438917398452759},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.313052773475647},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27456313371658325},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06243512034416199}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8101992607116699},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.8023921251296997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7836716175079346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6185583472251892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903218984603882},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5752275586128235},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.548736572265625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5249447822570801},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5212048292160034},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.509082019329071},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4648389518260956},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.422978937625885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3788001537322998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3438917398452759},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.313052773475647},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27456313371658325},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06243512034416199},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip53242.2021.9675367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675367","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W1901129140","https://openalex.org/W2103824707","https://openalex.org/W2121927366","https://openalex.org/W2128254161","https://openalex.org/W2130184048","https://openalex.org/W2146782367","https://openalex.org/W2167191464","https://openalex.org/W2242218935","https://openalex.org/W2395103039","https://openalex.org/W2503339013","https://openalex.org/W2508457857","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2807883812","https://openalex.org/W2866634454","https://openalex.org/W2898136110","https://openalex.org/W2962814024","https://openalex.org/W2963031226","https://openalex.org/W2963704386","https://openalex.org/W2963729050","https://openalex.org/W2963814095","https://openalex.org/W2964101377","https://openalex.org/W2964277374","https://openalex.org/W2971292464","https://openalex.org/W3034818206","https://openalex.org/W3035302306","https://openalex.org/W3098616015","https://openalex.org/W3105158720","https://openalex.org/W4242963054","https://openalex.org/W6639824700","https://openalex.org/W6712029930","https://openalex.org/W6749012761","https://openalex.org/W6753074096","https://openalex.org/W6784110152"],"related_works":["https://openalex.org/W2130228941","https://openalex.org/W3023581765","https://openalex.org/W2319726853","https://openalex.org/W2060018053","https://openalex.org/W2130109816","https://openalex.org/W2739757502","https://openalex.org/W4385800852","https://openalex.org/W2038233084","https://openalex.org/W4206530213","https://openalex.org/W4308236562"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"single":[2],"image":[3,32,91,117,128,140,153],"super-resolution":[4],"(SR)":[5],"consistently":[6],"shows":[7],"superior":[8,158],"performance":[9],"compared":[10],"to":[11,27,99],"the":[12,23,29,100,146],"traditional":[13],"SR":[14,53,80,90,116,129,154],"methods.":[15],"However,":[16,97],"most":[17],"of":[18,51,63,103],"these":[19,52],"methods":[20,54],"assume":[21],"that":[22,145],"blur":[24,40],"kernel":[25,87,114,137],"used":[26],"generate":[28],"low-resolution":[30],"(LR)":[31],"is":[33,55],"known":[34],"and":[35,48,70,115,139,155],"fixed":[36],"(e.g.":[37],"bicubic).":[38],"Since":[39],"kernels":[41],"involved":[42],"in":[43,122,151],"real-life":[44],"scenarios":[45],"are":[46],"complex":[47],"unknown,":[49],"per-formance":[50],"greatly":[56],"reduced":[57],"for":[58,112],"real":[59],"blurry":[60],"images.":[61],"Reconstruction":[62],"high-resolution":[64],"(HR)":[65],"images":[66,73],"from":[67],"randomly":[68],"blurred":[69],"noisy":[71],"LR":[72],"remains":[74],"a":[75],"challenging":[76],"task.":[77],"Typical":[78],"blind":[79,152],"approaches":[81],"involve":[82],"two":[83],"sequential":[84],"stages:":[85],"i)":[86],"estimation;":[88],"ii)":[89],"reconstruction":[92],"based":[93,131],"on":[94,132],"estimated":[95],"kernel.":[96],"due":[98],"ill-posed":[101],"nature":[102],"this":[104,120,123],"problem,":[105],"an":[106,127],"iterative":[107,136],"refinement":[108],"could":[109],"be":[110],"beneficial":[111],"both":[113],"estimate.":[118],"With":[119],"observation,":[121],"paper,":[124],"we":[125],"propose":[126],"method":[130,148],"deep":[133],"learning":[134],"with":[135],"estimation":[138],"reconstruction.":[141],"Simulation":[142],"results":[143,159],"show":[144],"proposed":[147],"outperforms":[149],"state-of-the-art":[150],"produces":[156],"visually":[157],"as":[160],"well.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}