{"id":"https://openalex.org/W4385805060","doi":"https://doi.org/10.1109/cvprw59228.2023.00199","title":"Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery","display_name":"Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385805060","doi":"https://doi.org/10.1109/cvprw59228.2023.00199"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw59228.2023.00199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw59228.2023.00199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04136407/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044999814","display_name":"Jamy Lafenetre","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jamy Lafenetre","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086713962","display_name":"Ngoc Long Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ngoc Long Nguyen","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073617460","display_name":"Gabriele Facciolo","orcid":"https://orcid.org/0000-0002-8855-8513"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriele Facciolo","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080004527","display_name":"Thomas Eboli","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Eboli","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay, CNRS, ENS Paris-Saclay,Centre Borelli,France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CB - CB - Centre Borelli - UMR 9010 (Campus ENS Paris-Saclay\r\n4 Avenue des Sciences,\r\n91190 Gif-sur-Yvette - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044999814"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I277688954"],"apc_list":null,"apc_paid":null,"fwci":0.7414,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72890487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2056","last_page":"2064"},"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":0.9980000257492065,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7541059255599976},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.7536572217941284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6865112781524658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6518858671188354},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.6494976282119751},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5733238458633423},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4959953725337982},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.48823311924934387},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4416257441043854},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4253441393375397},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2365088164806366},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.09759986400604248},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09327906370162964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541059255599976},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.7536572217941284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6865112781524658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6518858671188354},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.6494976282119751},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5733238458633423},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4959953725337982},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.48823311924934387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4416257441043854},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4253441393375397},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2365088164806366},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.09759986400604248},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09327906370162964},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw59228.2023.00199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw59228.2023.00199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04136407v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04136407","pdf_url":"https://hal.science/hal-04136407/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2023, Vancouver, Canada. &#x27E8;10.1109/cvprw59228.2023.00199&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04136407v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04136407","pdf_url":"https://hal.science/hal-04136407/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2023, Vancouver, Canada. &#x27E8;10.1109/cvprw59228.2023.00199&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385805060.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1991970753","https://openalex.org/W2006262236","https://openalex.org/W2059055371","https://openalex.org/W2099412590","https://openalex.org/W2116191264","https://openalex.org/W2118877769","https://openalex.org/W2119302101","https://openalex.org/W2140257560","https://openalex.org/W2156015172","https://openalex.org/W2163710755","https://openalex.org/W2165939075","https://openalex.org/W2888856090","https://openalex.org/W2963606888","https://openalex.org/W3043538212","https://openalex.org/W3046379640","https://openalex.org/W3176420170","https://openalex.org/W3202559727","https://openalex.org/W4236229596","https://openalex.org/W4286611187","https://openalex.org/W4306681194","https://openalex.org/W4384470560","https://openalex.org/W6677548441","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W3204676188","https://openalex.org/W2992803471","https://openalex.org/W2066036438","https://openalex.org/W2078454190","https://openalex.org/W2108123836","https://openalex.org/W2963350370","https://openalex.org/W2930227984","https://openalex.org/W2063248114","https://openalex.org/W2528648655","https://openalex.org/W2554736181"],"abstract_inverted_index":{"Image":[0],"resolution":[1],"is":[2,103,108,115],"an":[3],"important":[4],"criterion":[5],"for":[6,23,117],"many":[7,118],"applications":[8],"based":[9],"on":[10,88],"satellite":[11],"imagery.":[12],"In":[13],"this":[14,67],"work,":[15],"we":[16],"adapt":[17],"a":[18,60,76,82],"state-of-the-art":[19],"kernel":[20],"regression":[21],"technique":[22,31],"smartphone":[24],"camera":[25],"burst":[26],"super-resolution":[27],"to":[28,39,59,69,73,110],"satellites.":[29],"This":[30],"leverages":[32],"the":[33,37,42,48,53,70,95,98,101,105],"local":[34],"structure":[35],"of":[36,63,78,97],"image":[38],"optimally":[40],"steer":[41],"fusion":[43,102],"kernels,":[44],"limiting":[45],"blur":[46],"in":[47],"final":[49],"high-resolution":[50,83],"prediction,":[51],"denoising":[52],"image,":[54],"and":[55,84,91],"recovering":[56],"details":[57],"up":[58],"zoom":[61],"factor":[62],"2.":[64],"We":[65],"extend":[66],"approach":[68],"multi-exposure":[71,79,92],"case":[72],"predict":[74],"from":[75],"sequence":[77],"low-resolution":[80],"frames":[81],"noise-free":[85],"one.":[86],"Experiments":[87],"both":[89],"single":[90],"scenarios":[93],"show":[94],"merits":[96],"approach.":[99],"Since":[100],"learning-free,":[104],"proposed":[106],"method":[107],"ensured":[109],"not":[111],"hallucinate":[112],"details,":[113],"which":[114],"crucial":[116],"remote":[119],"sensing":[120],"applications.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
