{"id":"https://openalex.org/W4308235786","doi":"https://doi.org/10.1109/icip46576.2022.9897540","title":"Real-World Image Super-Resolution Via Kernel Augmentation And Stochastic Variation","display_name":"Real-World Image Super-Resolution Via Kernel Augmentation And Stochastic Variation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235786","doi":"https://doi.org/10.1109/icip46576.2022.9897540"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897540","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/A5116016380","display_name":"Haiyu Zhang","orcid":"https://orcid.org/0009-0003-6433-144X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyu Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673745","display_name":"Yu Zhu","orcid":"https://orcid.org/0000-0002-2480-0569"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778199","display_name":"Jinqiu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiu Sun","raw_affiliation_strings":["Northwestern Polytechnical University,School of Astronautics,Xi’an,P.R. China,710072"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Astronautics,Xi’an,P.R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi’an,P.R. China,710129","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116016380"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.28661058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2506","last_page":"2510"},"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":0.996999979019165,"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":0.9966999888420105,"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":0.7315858602523804},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7315823435783386},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6658316850662231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006393432617188},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5719167590141296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4813176393508911},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46199727058410645},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.45649731159210205},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4512466788291931},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.42865121364593506},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41628003120422363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3700733184814453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35749655961990356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1624932885169983},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06791198253631592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315858602523804},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7315823435783386},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6658316850662231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006393432617188},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5719167590141296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4813176393508911},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46199727058410645},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.45649731159210205},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4512466788291931},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.42865121364593506},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41628003120422363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3700733184814453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35749655961990356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1624932885169983},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06791198253631592},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897540","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":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1973788353","https://openalex.org/W2102166818","https://openalex.org/W2167191464","https://openalex.org/W2331128040","https://openalex.org/W2474628748","https://openalex.org/W2565312867","https://openalex.org/W2607202125","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2891158090","https://openalex.org/W2932253358","https://openalex.org/W2943960148","https://openalex.org/W2949695917","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962814024","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963704386","https://openalex.org/W2963774720","https://openalex.org/W2963864522","https://openalex.org/W2964121592","https://openalex.org/W2964277374","https://openalex.org/W2983339877","https://openalex.org/W2987150909","https://openalex.org/W3011456574","https://openalex.org/W3034785019","https://openalex.org/W3127284993","https://openalex.org/W4288107876","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6685352114","https://openalex.org/W6687214662","https://openalex.org/W6752483423","https://openalex.org/W6767785265"],"related_works":["https://openalex.org/W2785996895","https://openalex.org/W2074682865","https://openalex.org/W2347570911","https://openalex.org/W2004097438","https://openalex.org/W4206530213","https://openalex.org/W3094967876","https://openalex.org/W3112636134","https://openalex.org/W2167191464","https://openalex.org/W3041957019","https://openalex.org/W4226296458"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"based":[3,67],"single":[4],"image":[5],"super-resolution":[6],"(SISR)":[7],"algorithms":[8],"have":[9],"now":[10],"achieved":[11],"highly":[12],"satisfactory":[13],"evaluation":[14],"and":[15,36,78,116],"visualization":[16],"results":[17],"on":[18,68],"synthetic":[19],"datasets.":[20],"However,":[21],"in":[22,98,121],"some":[23,29],"practical":[24],"applications,":[25],"especially":[26],"when":[27],"restoring":[28],"real-world":[30,124],"low-resolution":[31],"(LR)":[32],"photos,":[33],"the":[34,39,75,89,109,114],"limitation":[35],"unicity":[37],"of":[38,52,80,118],"most":[40],"commonly":[41],"used":[42],"bicubic":[43],"down-sampling":[44],"kernel":[45,63],"often":[46],"lead":[47],"to":[48,73,87,101],"significant":[49],"performance":[50],"degradation":[51],"models":[53],"trained":[54],"under":[55],"ideal":[56],"conditions.":[57],"Thus,":[58],"we":[59,85],"first":[60],"propose":[61],"a":[62,103],"augmentation":[64],"(KA)":[65],"strategy":[66],"generative":[69],"adversarial":[70],"networks":[71],"(GANs)":[72],"improve":[74],"generalization":[76],"ability":[77],"robustness":[79],"current":[81],"SISR":[82,125],"models.":[83],"Then,":[84],"intend":[86],"reconstruct":[88],"stochastic":[90],"variation":[91],"(SV)":[92],"features":[93],"that":[94],"are":[95],"widely":[96],"present":[97],"natural":[99],"images":[100],"obtain":[102],"more":[104],"realistic":[105],"feature":[106],"representation.":[107],"In":[108],"end,":[110],"extensive":[111],"experiments":[112],"demonstrate":[113],"feasibility":[115],"effectiveness":[117],"our":[119],"approach":[120],"dealing":[122],"with":[123],"problems.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}