{"id":"https://openalex.org/W2959203930","doi":"https://doi.org/10.1109/access.2019.2942346","title":"HRAN: Hybrid Residual Attention Network for Single Image Super-Resolution","display_name":"HRAN: Hybrid Residual Attention Network for Single Image Super-Resolution","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2959203930","doi":"https://doi.org/10.1109/access.2019.2942346","mag":"2959203930"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2942346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08844684.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08844684.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016306090","display_name":"Abdul Muqeet","orcid":"https://orcid.org/0000-0002-4803-7000"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Abdul Muqeet","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4803-7000","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031663850","display_name":"Md. Tauhid Bin Iqbal","orcid":"https://orcid.org/0000-0001-7126-8969"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md Tauhid Bin Iqbal","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005200603","display_name":"Sung\u2010Ho Bae","orcid":"https://orcid.org/0000-0003-2677-3186"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Ho Bae","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2677-3186","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6777,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.9596265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"137020","last_page":"137029"},"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":0.9966999888420105,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9907000064849854,"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/residual","display_name":"Residual","score":0.8737152814865112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8116092681884766},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.687201738357544},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6681710481643677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6020488142967224},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5823789834976196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5749919414520264},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5391732454299927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5134173631668091},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.48473212122917175},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4507253170013428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4451677203178406},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.4359130263328552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4244897961616516},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.41033926606178284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2518537640571594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08924183249473572}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8737152814865112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116092681884766},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.687201738357544},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6681710481643677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6020488142967224},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5823789834976196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5749919414520264},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5391732454299927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5134173631668091},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48473212122917175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4507253170013428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4451677203178406},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.4359130263328552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4244897961616516},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.41033926606178284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2518537640571594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08924183249473572},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2942346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08844684.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1907.05514","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.05514","pdf_url":"https://arxiv.org/pdf/1907.05514","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:10d36b97938f42158b2ca71e13df0540","is_oa":true,"landing_page_url":"https://doaj.org/article/10d36b97938f42158b2ca71e13df0540","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 137020-137029 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2942346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942346","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08844684.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5734098175","display_name":null,"funder_award_id":"2018R1C1B3008159","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7903205676","display_name":null,"funder_award_id":"2018R1C1B3008159","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2959203930.pdf","grobid_xml":"https://content.openalex.org/works/W2959203930.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W134193804","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1983781364","https://openalex.org/W2047920195","https://openalex.org/W2054515210","https://openalex.org/W2057065563","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2221899823","https://openalex.org/W2242218935","https://openalex.org/W2263468737","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2545656684","https://openalex.org/W2565639579","https://openalex.org/W2607041014","https://openalex.org/W2613155248","https://openalex.org/W2739757502","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2762292478","https://openalex.org/W2780544323","https://openalex.org/W2798877493","https://openalex.org/W2823177849","https://openalex.org/W2866634454","https://openalex.org/W2895598217","https://openalex.org/W2896927224","https://openalex.org/W2935564801","https://openalex.org/W2962850830","https://openalex.org/W2962862396","https://openalex.org/W2963037581","https://openalex.org/W2963111219","https://openalex.org/W2963163009","https://openalex.org/W2963241429","https://openalex.org/W2963372104","https://openalex.org/W2963420686","https://openalex.org/W2963470893","https://openalex.org/W2963729050","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2966402716","https://openalex.org/W3101659800","https://openalex.org/W4377561911","https://openalex.org/W6605475217","https://openalex.org/W6638194035","https://openalex.org/W6724673846","https://openalex.org/W6729110096","https://openalex.org/W6753074096","https://openalex.org/W6753261499","https://openalex.org/W6755102754","https://openalex.org/W6761511153"],"related_works":["https://openalex.org/W3132983279","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2495356367","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2051113792","https://openalex.org/W4287548622"],"abstract_inverted_index":{"The":[0],"extraction":[1,118],"and":[2,28,120,168,216],"proper":[3],"utilization":[4],"of":[5,18,105,134,175,205],"convolutional":[6],"neural":[7],"network":[8,63,189,195],"(CNN)":[9],"features":[10,24,93,180],"have":[11,201],"a":[12,59,83,125,136],"significant":[13],"impact":[14],"on":[15],"the":[16,41,47,68,91,115,173,183,198,203,209,214],"performance":[17,42],"image":[19],"super-resolution":[20],"(SR).":[21],"Although":[22],"CNN":[23],"contain":[25],"both":[26,213],"spatial":[27,48],"channel":[29,51,121],"information,":[30],"current":[31],"deep":[32,60],"learning":[33],"techniques":[34],"for":[35,212],"SR":[36],"often":[37],"suffer":[38],"to":[39,44,129,147,154,171],"maximize":[40],"due":[43],"using":[45,135],"either":[46],"information":[49,57,176],"or":[50,61],"information.":[52],"Moreover,":[53],"they":[54],"integrate":[55],"such":[56],"within":[58],"wide":[62],"rather":[64],"than":[65],"exploiting":[66],"all":[67],"available":[69],"features,":[70],"eventually":[71],"resulting":[72],"in":[73,98,124],"high":[74],"computational":[75,131],"complexity.":[76],"To":[77],"address":[78],"these":[79],"issues,":[80],"we":[81,140,185,200],"present":[82],"binarized":[84],"feature":[85,117],"fusion":[86],"(BFF)":[87],"structure":[88,170],"that":[89,112],"utilizes":[90],"extracted":[92],"from":[94],"global":[95,156],"residuals":[96],"(GR)":[97],"an":[99],"effective":[100],"way.":[101],"Each":[102],"GR":[103,169],"consists":[104],"multiple":[106],"hybrid":[107,192],"residual":[108,193],"attention":[109,122,194],"blocks":[110],"(HRAB)":[111],"effectively":[113],"integrates":[114],"multiscale":[116,149],"module":[119],"mechanism":[123],"single":[126],"block.":[127],"Furthermore,":[128],"save":[130],"power,":[132],"instead":[133],"large":[137],"filter":[138],"size,":[139],"use":[141],"convolutions":[142],"with":[143],"different":[144],"dilation":[145],"factors":[146],"extract":[148],"features.":[150],"We":[151],"also":[152],"propose":[153],"adopt":[155],"skip":[157,161,165],"connections":[158,162,166],"(GSC),":[159],"short":[160],"(SSC),":[163],"long":[164],"(LSC)":[167],"ease":[172],"flow":[174],"without":[177],"losing":[178],"important":[179],"details.":[181],"In":[182,197],"paper,":[184],"call":[186],"this":[187],"overall":[188],"architecture":[190],"as":[191],"(HRAN).":[196],"experiment,":[199],"observed":[202],"efficacy":[204],"our":[206],"method":[207],"against":[208],"state-of-the-art":[210],"methods":[211],"quantitative":[215],"qualitative":[217],"comparisons.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-07-23T00:00:00"}