{"id":"https://openalex.org/W4308236562","doi":"https://doi.org/10.1109/icip46576.2022.9897266","title":"Iterative Kernel Reconstruction for Deep Learning-Based Blind Image Super-Resolution","display_name":"Iterative Kernel Reconstruction for Deep Learning-Based Blind Image Super-Resolution","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236562","doi":"https://doi.org/10.1109/icip46576.2022.9897266"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897266","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5101749903","display_name":"S\u00fcleyman Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0001-7558-6411"},"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":"Suleyman Yildirim","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/A5101749903"],"corresponding_institution_ids":["https://openalex.org/I3125470973"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42428347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3251","last_page":"3255"},"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":0.9958999752998352,"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":0.9955000281333923,"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":0.8334914445877075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7625073194503784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081930637359619},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.601746678352356},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5665727257728577},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5397213101387024},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.52601158618927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141584873199463},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5006895065307617},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4945385158061981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48934072256088257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46806421875953674},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4507959187030792},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43093907833099365},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2886262834072113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27200132608413696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21945789456367493}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8334914445877075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7625073194503784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081930637359619},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.601746678352356},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5665727257728577},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5397213101387024},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.52601158618927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141584873199463},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5006895065307617},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4945385158061981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48934072256088257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46806421875953674},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4507959187030792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43093907833099365},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2886262834072113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27200132608413696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21945789456367493},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897266","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W2121927366","https://openalex.org/W2128254161","https://openalex.org/W2130184048","https://openalex.org/W2146782367","https://openalex.org/W2194775991","https://openalex.org/W2395103039","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2891158090","https://openalex.org/W2962814024","https://openalex.org/W2963470893","https://openalex.org/W2971292464","https://openalex.org/W2983339877","https://openalex.org/W2991044292","https://openalex.org/W3034785019","https://openalex.org/W3034818206","https://openalex.org/W3035302306","https://openalex.org/W3098616015","https://openalex.org/W3136101383","https://openalex.org/W4206530213","https://openalex.org/W6767785265","https://openalex.org/W6784110152"],"related_works":["https://openalex.org/W2809398103","https://openalex.org/W2189446904","https://openalex.org/W2147326311","https://openalex.org/W1610044448","https://openalex.org/W2140292627","https://openalex.org/W2111547392","https://openalex.org/W2564723179","https://openalex.org/W2547347870","https://openalex.org/W2044945560","https://openalex.org/W2090494576"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"based":[2],"methods":[3,40],"have":[4],"received":[5],"a":[6,58,87],"great":[7],"deal":[8],"of":[9,38,61,81],"interest":[10],"in":[11,127,141],"recent":[12],"years":[13],"to":[14,27,32,42,73],"solve":[15],"the":[16,82,104,129,133],"single":[17],"image":[18,48,78,112,131],"super-resolution":[19,79],"(SISR)":[20],"problem":[21],"and":[22,109,132],"their":[23],"performance":[24],"is":[25,85],"proven":[26],"be":[28],"superior":[29],"when":[30,70],"compared":[31],"classical":[33],"SR":[34],"techniques.":[35],"Yet,":[36],"most":[37],"these":[39],"fail":[41],"generalize":[43],"well":[44],"on":[45,54],"real":[46,74],"life":[47],"datasets":[49,56],"because":[50],"they":[51],"are":[52,114],"trained":[53],"synthetic":[55],"with":[57,147],"small":[59],"range":[60],"blur":[62,83,135],"kernels.":[63],"This":[64],"makes":[65],"data-driven":[66],"approaches":[67],"inherently":[68],"weak":[69],"it":[71],"comes":[72],"images.":[75],"Therefore,":[76],"applying":[77],"independently":[80],"kernel":[84,107],"still":[86],"challenging":[88],"task.":[89],"In":[90,103],"this":[91],"paper":[92],"we":[93],"propose":[94],"IKR-Net,":[95],"Iterative":[96],"Kernel":[97],"Reconstruction":[98],"network,":[99],"for":[100,145],"blind":[101,142],"SISR.":[102],"proposed":[105],"approach,":[106],"estimation":[108],"high":[110],"resolution":[111],"reconstruction":[113],"carried":[115],"out":[116],"iteratively":[117],"using":[118],"deep":[119],"models.":[120],"The":[121],"iterative":[122],"refinement":[123],"provides":[124],"significant":[125],"improvement":[126],"both":[128],"reconstructed":[130],"estimated":[134],"kernel.":[136],"IKR-Net":[137],"achieves":[138],"state-of-the-art":[139],"results":[140],"SISR,":[143],"especially":[144],"images":[146],"motion":[148],"blur.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}