{"id":"https://openalex.org/W2954113706","doi":"https://doi.org/10.1109/tpami.2020.3021088","title":"Densely Residual Laplacian Super-Resolution","display_name":"Densely Residual Laplacian Super-Resolution","publication_year":2020,"publication_date":"2020-09-02","ids":{"openalex":"https://openalex.org/W2954113706","doi":"https://doi.org/10.1109/tpami.2020.3021088","mag":"2954113706","pmid":"https://pubmed.ncbi.nlm.nih.gov/32877331"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3021088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3021088","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.12021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084633048","display_name":"Saeed Anwar","orcid":"https://orcid.org/0000-0002-0692-8411"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Saeed Anwar","raw_affiliation_strings":["Data61-CSIRO, Canberra, ACT, Australia","College of Engineering and Computer Science, Australian National University College of Engineering and Computer Science, 213523 Canberra, Australian Capital Territory, Australia, 02601 (e-mail: saeedanwarcse@gmail.com)"],"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]},{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University College of Engineering and Computer Science, 213523 Canberra, Australian Capital Territory, Australia, 02601 (e-mail: saeedanwarcse@gmail.com)","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072837153","display_name":"Nick Barnes","orcid":"https://orcid.org/0000-0002-9343-9535"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nick Barnes","raw_affiliation_strings":["CSIRO, Canberra, ACT, Australia","Engineering and Computer Science, Australian National University College of Engineering and Computer Science, 213523 Canberra, Australian Capital Territory, Australia, (e-mail: nick.barnes@anu.edu.au)"],"affiliations":[{"raw_affiliation_string":"CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Engineering and Computer Science, Australian National University College of Engineering and Computer Science, 213523 Canberra, Australian Capital Territory, Australia, (e-mail: nick.barnes@anu.edu.au)","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084633048"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I1292875679","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":1.0812,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79232951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"44","issue":"3","first_page":"1192","last_page":"1204"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.863095760345459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324077486991882},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7316205501556396},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7140364050865173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330122351646423},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5822998881340027},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5635700821876526},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5179551839828491},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4910712242126465},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4561528265476227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4177369773387909},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.41319966316223145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35957759618759155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33983105421066284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33245646953582764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11394205689430237}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.863095760345459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324077486991882},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7316205501556396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7140364050865173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330122351646423},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5822998881340027},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5635700821876526},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5179551839828491},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4910712242126465},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4561528265476227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4177369773387909},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.41319966316223145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35957759618759155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33983105421066284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33245646953582764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11394205689430237},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tpami.2020.3021088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3021088","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:32877331","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32877331","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/b516aced-e1e2-4344-8813-b7aa3590edd5","is_oa":false,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/b516aced-e1e2-4344-8813-b7aa3590edd5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Anwar, S & Barnes, N 2022, 'Densely Residual Laplacian Super-Resolution', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 3, pp. 1192-1204. https://doi.org/10.1109/TPAMI.2020.3021088","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1906.12021","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.12021","pdf_url":"https://arxiv.org/pdf/1906.12021","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":"","raw_type":"text"},{"id":"mag:2954113706","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1906.12021","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.12021","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.12021","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.13140/rg.2.2.15072.33285","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.15072.33285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.12021","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.12021","pdf_url":"https://arxiv.org/pdf/1906.12021","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":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954113706.pdf","grobid_xml":"https://content.openalex.org/works/W2954113706.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1677182931","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1895577753","https://openalex.org/W1919542679","https://openalex.org/W1930824406","https://openalex.org/W1985806826","https://openalex.org/W2047920195","https://openalex.org/W2056370875","https://openalex.org/W2057065563","https://openalex.org/W2057126662","https://openalex.org/W2097073572","https://openalex.org/W2099471712","https://openalex.org/W2107461197","https://openalex.org/W2108598243","https://openalex.org/W2121927366","https://openalex.org/W2147527908","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2332698925","https://openalex.org/W2462651488","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2523714292","https://openalex.org/W2545656684","https://openalex.org/W2574577332","https://openalex.org/W2613155248","https://openalex.org/W2739757502","https://openalex.org/W2740494144","https://openalex.org/W2747675701","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2810518847","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2895240252","https://openalex.org/W2899771611","https://openalex.org/W2903251150","https://openalex.org/W2954930822","https://openalex.org/W2963037581","https://openalex.org/W2963182372","https://openalex.org/W2963372104","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963495494","https://openalex.org/W2963645458","https://openalex.org/W2963814095","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2986556279","https://openalex.org/W6602211262","https://openalex.org/W6631190155","https://openalex.org/W6638194035","https://openalex.org/W6682137061","https://openalex.org/W6685352114","https://openalex.org/W6729110096","https://openalex.org/W6736904528","https://openalex.org/W6748054908","https://openalex.org/W6749012761","https://openalex.org/W6754405603","https://openalex.org/W6756040250","https://openalex.org/W6757063735"],"related_works":["https://openalex.org/W2952773607","https://openalex.org/W2133665775","https://openalex.org/W2099471712","https://openalex.org/W2047920195","https://openalex.org/W1930824406","https://openalex.org/W3083997505","https://openalex.org/W3080609946","https://openalex.org/W2194775991","https://openalex.org/W2121927366","https://openalex.org/W1885185971","https://openalex.org/W2895598217","https://openalex.org/W2980581840","https://openalex.org/W3097407469","https://openalex.org/W3103139707","https://openalex.org/W2967886153","https://openalex.org/W3024032124","https://openalex.org/W2793421395","https://openalex.org/W3185318678","https://openalex.org/W2980844349","https://openalex.org/W3010250471"],"abstract_inverted_index":{"Super-Resolution":[0],"convolutional":[1,26],"neural":[2,27],"networks":[3,28],"have":[4],"recently":[5],"demonstrated":[6],"high-quality":[7],"restoration":[8],"for":[9,29],"single":[10],"images.":[11],"However,":[12],"existing":[13],"algorithms":[14],"often":[15],"require":[16],"very":[17],"deep":[18,97],"architectures":[19],"and":[20,39,60,92,131,141,148,166],"long":[21],"training":[22],"times.":[23],"Furthermore,":[24,138],"current":[25],"super-resolution":[30,62],"are":[31],"unable":[32],"to":[33,80,87,122,127],"exploit":[34],"features":[35,126],"at":[36,44],"multiple":[37],"scales":[38],"weigh":[40],"them":[41],"equally":[42],"or":[43],"only":[45],"static":[46],"scale":[47],"only,":[48],"limiting":[49],"their":[50],"learning":[51,90,112],"capability.":[52],"In":[53,95],"this":[54],"exposition,":[55],"we":[56,118],"present":[57],"a":[58],"compact":[59],"accurate":[61],"algorithm,":[63],"namely,":[64],"densely":[65,103],"residual":[66,75,78,105],"laplacian":[67],"network":[68,72],"(DRLN).":[69],"The":[70],"proposed":[71],"employs":[73],"cascading":[74],"on":[76,89,144],"the":[77,82,102,124,129,135,162],"structure":[79],"allow":[81],"flow":[83],"of":[84],"low-frequency":[85],"information":[86],"focus":[88],"high":[91],"mid-level":[93],"features.":[94,116],"addition,":[96],"supervision":[98],"is":[99],"achieved":[100],"via":[101],"concatenated":[104],"blocks":[106],"settings,":[107],"which":[108],"also":[109],"helps":[110],"in":[111],"from":[113],"high-level":[114],"complex":[115],"Moreover,":[117],"propose":[119],"Laplacian":[120],"attention":[121],"model":[123],"crucial":[125],"learn":[128],"inter":[130],"intra-level":[132],"dependencies":[133],"between":[134],"feature":[136],"maps.":[137],"comprehensive":[139],"quantitative":[140],"qualitative":[142],"evaluations":[143],"low-resolution,":[145,147],"noisy":[146],"real":[149],"historical":[150],"image":[151],"benchmark":[152],"datasets":[153],"illustrate":[154],"that":[155],"our":[156],"DRLN":[157],"algorithm":[158],"performs":[159],"favorably":[160],"against":[161],"state-of-the-art":[163],"methods":[164],"visually":[165],"accurately.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2022-02-08T00:00:00"}
