{"id":"https://openalex.org/W2765445670","doi":"https://doi.org/10.23919/eusipco.2017.8081318","title":"Convolutional neural network-based infrared image super resolution under low light environment","display_name":"Convolutional neural network-based infrared image super resolution under low light environment","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765445670","doi":"https://doi.org/10.23919/eusipco.2017.8081318","mag":"2765445670"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081318","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078592237","display_name":"Taeyoung Han","orcid":"https://orcid.org/0000-0001-7784-8884"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae Young Han","raw_affiliation_strings":["Department of Electronic Engineering, Inha University, Incheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782412","display_name":"Yong Jun Kim","orcid":"https://orcid.org/0000-0002-5374-712X"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Jun Kim","raw_affiliation_strings":["Department of Electronic Engineering, Inha University, Incheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065677543","display_name":"Byung Cheol Song","orcid":"https://orcid.org/0000-0001-8742-3433"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung Cheol Song","raw_affiliation_strings":["Department of Electronic Engineering, Inha University, Incheon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"803","last_page":"807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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":0.9975000023841858,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8664975166320801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7023793458938599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871787309646606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6365439891815186},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.562615156173706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956451654434204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4835972189903259},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.453576922416687},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4423259496688843},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4151266813278198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0987270176410675}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8664975166320801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023793458938599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871787309646606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6365439891815186},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.562615156173706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956451654434204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4835972189903259},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.453576922416687},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4423259496688843},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4151266813278198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0987270176410675},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081318","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W800654655","https://openalex.org/W1503965576","https://openalex.org/W1885185971","https://openalex.org/W1992060453","https://openalex.org/W2012893378","https://openalex.org/W2020082391","https://openalex.org/W2042285123","https://openalex.org/W2056898157","https://openalex.org/W2130951370","https://openalex.org/W2155893237","https://openalex.org/W2164517370","https://openalex.org/W2209762097","https://openalex.org/W2242218935","https://openalex.org/W2266694576","https://openalex.org/W2320725294","https://openalex.org/W2575265421","https://openalex.org/W2950094539","https://openalex.org/W4232454059"],"related_works":["https://openalex.org/W4389989350","https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2143529858","https://openalex.org/W2294441925","https://openalex.org/W4367590696"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNN)":[3],"have":[4],"been":[5],"successfully":[6],"applied":[7],"to":[8,90],"visible":[9,34,53],"image":[10,21,47,81],"super-resolution":[11],"(SR)":[12],"methods.":[13],"In":[14],"this":[15],"paper,":[16],"for":[17],"up-scaling":[18],"near-infrared":[19],"(NIR)":[20],"under":[22],"low":[23],"light":[24],"environment,":[25],"we":[26],"propose":[27],"a":[28],"CNN-based":[29],"SR":[30],"algorithm":[31,37,102],"using":[32],"corresponding":[33,50],"image.":[35,77,95],"Our":[36],"firstly":[38],"extracts":[39],"high-frequency":[40],"(HF)":[41],"components":[42],"from":[43],"low-resolution":[44],"(LR)":[45],"NIR":[46,76,80,94],"and":[48,55],"its":[49],"high-resolution":[51],"(HR)":[52],"image,":[54],"then":[56],"takes":[57],"them":[58],"as":[59,111,113],"the":[60,64,67,74,86,91,100,104],"multiple":[61],"inputs":[62],"of":[63,73,109],"CNN.":[65],"Next,":[66],"CNN":[68],"outputs":[69],"HR":[70,79,87],"HF":[71,88],"component":[72,89],"input":[75],"Finally,":[78],"is":[82],"synthesized":[83],"by":[84],"adding":[85],"up-scaled":[92],"LR":[93],"Simulation":[96],"results":[97],"show":[98],"that":[99],"proposed":[101],"outperforms":[103],"state-of-the-art":[105],"methods":[106],"in":[107],"terms":[108],"qualitative":[110],"well":[112],"quantitative":[114],"metrics.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}