{"id":"https://openalex.org/W2344488933","doi":"https://doi.org/10.1109/vcip.2015.7457844","title":"Enhancing low-light color images using an RGB-NIR single sensor","display_name":"Enhancing low-light color images using an RGB-NIR single sensor","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2344488933","doi":"https://doi.org/10.1109/vcip.2015.7457844","mag":"2344488933"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","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/A5102167637","display_name":"Hiroki Yamashita","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroki Yamashita","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014670116","display_name":"Daisuke Sugimura","orcid":"https://orcid.org/0000-0002-8305-9790"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Sugimura","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030884145","display_name":"Takayuki Hamamoto","orcid":"https://orcid.org/0000-0001-8246-8325"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Hamamoto","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102167637"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85461124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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":0.9993000030517578,"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":0.9987999796867371,"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/rgb-color-model","display_name":"RGB color model","score":0.8493924140930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8197096586227417},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7668752074241638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6700474619865417},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5608542561531067},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4854207932949066},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47397536039352417},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.47000131011009216},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4566657841205597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28182852268218994},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23111850023269653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17237529158592224},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1317802369594574},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06589081883430481}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8493924140930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8197096586227417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7668752074241638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700474619865417},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5608542561531067},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4854207932949066},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47397536039352417},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.47000131011009216},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4566657841205597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28182852268218994},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23111850023269653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17237529158592224},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1317802369594574},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06589081883430481},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2015.7457844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1573077480","https://openalex.org/W1967965586","https://openalex.org/W1972398042","https://openalex.org/W2060994093","https://openalex.org/W2099431685","https://openalex.org/W2124336929","https://openalex.org/W2164517370","https://openalex.org/W6665738944","https://openalex.org/W6678201190"],"related_works":["https://openalex.org/W1873415836","https://openalex.org/W2944239605","https://openalex.org/W2139783875","https://openalex.org/W4312469487","https://openalex.org/W4386489822","https://openalex.org/W1986138551","https://openalex.org/W2216907995","https://openalex.org/W2350512350","https://openalex.org/W2086128134","https://openalex.org/W2737324262"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3,102],"propose":[4],"a":[5,13,18,111],"method":[6,124],"to":[7,39,53],"enhance":[8],"the":[9,55,59,78,89,97,104,120],"color":[10,42,73,107],"image":[11,33,74,108],"of":[12,58,92,122],"low-light":[14],"scene":[15],"by":[16,129],"using":[17,125],"single":[19],"sensor":[20],"that":[21],"simultaneously":[22,40],"captures":[23],"red,":[24],"green,":[25],"blue":[26],"(RGB)":[27],"and":[28,43,84,114],"near-infrared":[29],"(NIR)":[30],"information.":[31],"Typical":[32],"enhancement":[34],"methods":[35],"require":[36],"two":[37,60],"cameras":[38],"capture":[41],"NIR":[44,85,98],"images.":[45],"such":[47],"cases,":[48],"meticulous":[49],"calibration":[50,68],"is":[51,67],"required":[52],"adjust":[54],"pixel":[56],"positions":[57],"cameras.":[61],"By":[62],"contrast,":[63],"our":[64,93,123,130],"proposed":[65],"system":[66],"free,":[69],"but":[70],"achieves":[71],"accurate":[72],"restoration.":[75],"We":[76],"divide":[77],"captured":[79,128],"multi-spectral":[80],"data":[81,127],"into":[82],"RGB":[83],"information":[86,99],"based":[87,109],"on":[88,110],"spectral":[90],"sensitivity":[91],"imaging":[94,131],"system.":[95,132],"Using":[96],"for":[100],"guidance,":[101],"reconstruct":[103],"corresponding":[105],"clear":[106],"joint":[112],"demosaicking":[113],"denoising":[115],"technique.":[116],"Our":[117],"experiments":[118],"show":[119],"effectiveness":[121],"raw":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
