{"id":"https://openalex.org/W3001801192","doi":"https://doi.org/10.1109/tip.2020.3014729","title":"Multimodal Deep Unfolding for Guided Image Super-Resolution","display_name":"Multimodal Deep Unfolding for Guided Image Super-Resolution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001801192","doi":"https://doi.org/10.1109/tip.2020.3014729","mag":"3001801192","pmid":"https://pubmed.ncbi.nlm.nih.gov/32784140"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3014729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3014729","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.07575","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046666210","display_name":"Iman Marivani","orcid":"https://orcid.org/0000-0002-2928-4014"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Iman Marivani","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-2928-4014","affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076766934","display_name":"Evaggelia Tsiligianni","orcid":"https://orcid.org/0000-0003-2876-5788"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Evaggelia Tsiligianni","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-2876-5788","affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058747795","display_name":"Bruno Cornelis","orcid":"https://orcid.org/0000-0002-0688-8173"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bruno Cornelis","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-0688-8173","affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043511500","display_name":"Nikos Deligiannis","orcid":"https://orcid.org/0000-0001-9300-5860"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nikos Deligiannis","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","imec, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-9300-5860","affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2891,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52441848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"8443","last_page":"8456"},"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":0.9995999932289124,"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":0.9987999796867371,"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":0.7508934736251831},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7175101041793823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.71739661693573},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7023135423660278},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6546965837478638},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.4958132207393646},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4695513844490051},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4510962665081024},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42419907450675964},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41449353098869324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40716832876205444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3694630265235901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3460233807563782},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22232413291931152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508934736251831},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7175101041793823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71739661693573},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7023135423660278},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6546965837478638},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.4958132207393646},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4695513844490051},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4510962665081024},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42419907450675964},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41449353098869324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40716832876205444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3694630265235901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3460233807563782},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22232413291931152},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tip.2020.3014729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3014729","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32784140","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32784140","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2001.07575","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.07575","pdf_url":"https://arxiv.org/pdf/2001.07575","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":"mag:3001801192","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2001.07575","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":"pmh:oai:vubissmart:VUBISSMART:2000:145214","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/multimodal-deep-unfolding-for-guided-image-superresolution(a1c14000-36f9-42d6-8163-43dbfdb2d66e).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:183728","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"},{"id":"doi:10.48550/arxiv.2001.07575","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.07575","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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.07575","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.07575","pdf_url":"https://arxiv.org/pdf/2001.07575","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2073135371","display_name":"Dictionary Learning and Distributed Inference for the Processing of Large-scale Heterogeneous Image Data (DOLPHIN)","funder_award_id":"G0A2617N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322852","display_name":"Innoviris","ror":"https://ror.org/04af9zr29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W96319384","https://openalex.org/W1712805121","https://openalex.org/W1885185971","https://openalex.org/W1918311561","https://openalex.org/W1946953458","https://openalex.org/W1978749115","https://openalex.org/W1999478721","https://openalex.org/W2010070459","https://openalex.org/W2016980974","https://openalex.org/W2037133124","https://openalex.org/W2058749767","https://openalex.org/W2088254198","https://openalex.org/W2093633095","https://openalex.org/W2096683987","https://openalex.org/W2099749431","https://openalex.org/W2100522270","https://openalex.org/W2103106600","https://openalex.org/W2108283046","https://openalex.org/W2115706991","https://openalex.org/W2118297240","https://openalex.org/W2121058967","https://openalex.org/W2125188192","https://openalex.org/W2149669120","https://openalex.org/W2150081556","https://openalex.org/W2161516371","https://openalex.org/W2164551808","https://openalex.org/W2194775991","https://openalex.org/W2202656999","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2291143146","https://openalex.org/W2293078015","https://openalex.org/W2344138609","https://openalex.org/W2345557152","https://openalex.org/W2405379419","https://openalex.org/W2438966692","https://openalex.org/W2492439964","https://openalex.org/W2503339013","https://openalex.org/W2520164769","https://openalex.org/W2520808298","https://openalex.org/W2619204584","https://openalex.org/W2741192765","https://openalex.org/W2747898905","https://openalex.org/W2752185112","https://openalex.org/W2760586727","https://openalex.org/W2766452532","https://openalex.org/W2782977076","https://openalex.org/W2798559986","https://openalex.org/W2799120945","https://openalex.org/W2866634454","https://openalex.org/W2956103957","https://openalex.org/W2963222130","https://openalex.org/W2963372104","https://openalex.org/W2963610452","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2964315752","https://openalex.org/W2970987056","https://openalex.org/W2977745911","https://openalex.org/W2982041717","https://openalex.org/W2988998293","https://openalex.org/W4241716071","https://openalex.org/W4250297470","https://openalex.org/W6605121731","https://openalex.org/W6624640001","https://openalex.org/W6638670064","https://openalex.org/W6639781355","https://openalex.org/W6677645113","https://openalex.org/W6678025836","https://openalex.org/W6683660953","https://openalex.org/W6683680428","https://openalex.org/W6686207219","https://openalex.org/W6687214662","https://openalex.org/W6697020685","https://openalex.org/W6704980600","https://openalex.org/W6726381175","https://openalex.org/W6729455701","https://openalex.org/W6769047827"],"related_works":["https://openalex.org/W3083759716","https://openalex.org/W2970987056","https://openalex.org/W3114283885","https://openalex.org/W2345557152","https://openalex.org/W2891026515","https://openalex.org/W2964007263","https://openalex.org/W3091568915","https://openalex.org/W2939079025","https://openalex.org/W3091968788","https://openalex.org/W2753797910","https://openalex.org/W3212391383","https://openalex.org/W2560815146","https://openalex.org/W2956103957","https://openalex.org/W3138835149","https://openalex.org/W4136762","https://openalex.org/W2977745911","https://openalex.org/W3091127438","https://openalex.org/W278948940","https://openalex.org/W2783270057","https://openalex.org/W2386267123"],"abstract_inverted_index":{"The":[0,111,144],"reconstruction":[1],"of":[2,69,121,152],"a":[3,8,32,36,55,83,118,122],"high":[4],"resolution":[5,10],"image":[6,73,127],"given":[7],"low":[9],"observation":[11],"is":[12,107,115,133,148],"an":[13,28,92],"ill-posed":[14],"inverse":[15],"problem":[16],"in":[17],"imaging.":[18],"Deep":[19],"learning":[20,58,138],"methods":[21],"rely":[22],"on":[23,82],"training":[24,142],"data":[25],"to":[26,35,91,139,150],"learn":[27],"end-to-end":[29],"mapping":[30],"from":[31,71],"low-resolution":[33],"input":[34],"highresolution":[37],"output.":[38],"Unlike":[39],"existing":[40],"deep":[41,57,85,112],"multimodal":[42,56,123,131,146],"models":[43],"that":[44,60,171],"do":[45],"not":[46],"incorporate":[47],"domain":[48],"knowledge":[49],"about":[50],"the":[51,66,76,103,141],"problem,":[52],"we":[53],"propose":[54],"design":[59,132],"incorporates":[61],"sparse":[62,97],"priors":[63],"and":[64,154],"allows":[65],"effective":[67],"integration":[68],"information":[70],"another":[72],"modality":[74],"into":[75],"network":[77,106],"architecture.":[78],"Our":[79],"solution":[80],"relies":[81],"novel":[84],"unfolding":[86,113],"operator,":[87],"performing":[88],"steps":[89],"similar":[90],"iterative":[93],"algorithm":[94],"for":[95,125],"convolutional":[96],"coding":[98],"with":[99],"side":[100,166],"information;":[101],"therefore,":[102],"proposed":[104],"neural":[105],"interpretable":[108],"by":[109,135],"design.":[110],"architecture":[114],"used":[116],"as":[117,157,159,165],"core":[119],"component":[120],"framework":[124],"guided":[126],"super-resolution.":[128],"An":[129],"alternative":[130],"investigated":[134],"employing":[136],"residual":[137],"improve":[140],"efficiency.":[143],"presented":[145],"approach":[147],"applied":[149],"super-resolution":[151],"near-infrared":[153],"multi-spectral":[155],"images":[156,164],"well":[158],"depth":[160],"upsampling":[161],"using":[162],"RGB":[163],"information.":[167],"Experimental":[168],"results":[169],"show":[170],"our":[172],"model":[173],"outperforms":[174],"state-ofthe-art":[175],"methods.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}