{"id":"https://openalex.org/W2773809991","doi":"https://doi.org/10.1109/tip.2017.2781303","title":"Convolutional Sparse Coding for RGB+NIR Imaging","display_name":"Convolutional Sparse Coding for RGB+NIR Imaging","publication_year":2017,"publication_date":"2017-12-08","ids":{"openalex":"https://openalex.org/W2773809991","doi":"https://doi.org/10.1109/tip.2017.2781303","mag":"2773809991","pmid":"https://pubmed.ncbi.nlm.nih.gov/29324415"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2781303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2781303","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":["crossref","pubmed"],"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/A5067690324","display_name":"Xuemei Hu","orcid":"https://orcid.org/0000-0002-0501-6840"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuemei Hu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059313827","display_name":"Felix Heide","orcid":"https://orcid.org/0000-0002-8054-9823"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Heide","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Zhejiang Future Technology Institute, Jiaxing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Zhejiang Future Technology Institute, Jiaxing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014044649","display_name":"Gordon Wetzstein","orcid":"https://orcid.org/0000-0002-9243-6885"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon Wetzstein","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067690324"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.6766,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.90234071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":"4","first_page":"1611","last_page":"1625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/rgb-color-model","display_name":"RGB color model","score":0.7662869691848755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331845760345459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7246286869049072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6333834528923035},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5164752006530762},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.48280060291290283},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.453848272562027},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.44000089168548584},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.43664270639419556},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.41138750314712524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32305780053138733},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22328925132751465},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13821634650230408}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7662869691848755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331845760345459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246286869049072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6333834528923035},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5164752006530762},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.48280060291290283},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.453848272562027},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.44000089168548584},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.43664270639419556},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.41138750314712524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32305780053138733},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22328925132751465},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13821634650230408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2781303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2781303","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:29324415","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29324415","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}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G227027932","display_name":null,"funder_award_id":"61631009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8035069573","display_name":null,"funder_award_id":"IIS 1553333","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8883308132","display_name":null,"funder_award_id":"61327902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323180","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W4136762","https://openalex.org/W112999589","https://openalex.org/W233979554","https://openalex.org/W1532331894","https://openalex.org/W1573676738","https://openalex.org/W1780998704","https://openalex.org/W1915188322","https://openalex.org/W1946953458","https://openalex.org/W1967965586","https://openalex.org/W1970951612","https://openalex.org/W1970955362","https://openalex.org/W1971646136","https://openalex.org/W1974331381","https://openalex.org/W1992060453","https://openalex.org/W2004829135","https://openalex.org/W2012893378","https://openalex.org/W2027898483","https://openalex.org/W2032603438","https://openalex.org/W2035192779","https://openalex.org/W2037603831","https://openalex.org/W2039628776","https://openalex.org/W2056898157","https://openalex.org/W2070145771","https://openalex.org/W2081135846","https://openalex.org/W2100109944","https://openalex.org/W2100549954","https://openalex.org/W2103955025","https://openalex.org/W2105464873","https://openalex.org/W2113606819","https://openalex.org/W2117259536","https://openalex.org/W2119967924","https://openalex.org/W2120528285","https://openalex.org/W2123094559","https://openalex.org/W2135238609","https://openalex.org/W2136035751","https://openalex.org/W2140573010","https://openalex.org/W2143055991","https://openalex.org/W2145012779","https://openalex.org/W2145889472","https://openalex.org/W2164278908","https://openalex.org/W2169488311","https://openalex.org/W2170529039","https://openalex.org/W2202656999","https://openalex.org/W2293078015","https://openalex.org/W2304846792","https://openalex.org/W2399415452","https://openalex.org/W2700340246","https://openalex.org/W2951085447","https://openalex.org/W3099831354","https://openalex.org/W3138793872","https://openalex.org/W4248931071","https://openalex.org/W4292363360","https://openalex.org/W4300650665","https://openalex.org/W6675164516","https://openalex.org/W6676903177","https://openalex.org/W6685048874"],"related_works":["https://openalex.org/W2792279927","https://openalex.org/W4385497869","https://openalex.org/W283587633","https://openalex.org/W2051334599","https://openalex.org/W2016359086","https://openalex.org/W2015264016","https://openalex.org/W3002017077","https://openalex.org/W4378083523","https://openalex.org/W2030445371","https://openalex.org/W4253936105"],"abstract_inverted_index":{"Emerging":[0],"sensor":[1,101],"designs":[2,102],"increasingly":[3],"rely":[4],"on":[5,145],"novel":[6],"color":[7,30,124],"filter":[8],"arrays":[9],"(CFAs)":[10],"to":[11,112],"sample":[12],"the":[13,64,140],"incident":[14],"spectrum":[15],"in":[16,42,52,93],"unconventional":[17],"ways.":[18],"In":[19,104],"particular,":[20],"capturing":[21],"a":[22,90,109,146],"near-infrared":[23],"(NIR)":[24],"channel":[25],"along":[26],"with":[27],"conventional":[28],"RGB":[29,69],"is":[31,143],"an":[32],"exciting":[33],"new":[34,110],"imaging":[35,72,127],"modality.":[36],"RGB+NIR":[37,95,113],"sensing":[38],"has":[39,50],"broad":[40],"applications":[41,51],"computational":[43],"photography,":[44],"such":[45,55],"as":[46,56],"low-light":[47],"denoising,":[48],"it":[49,62],"computer":[53],"vision,":[54],"facial":[57],"recognition":[58],"and":[59,61,70,125,153],"tracking,":[60],"paves":[63],"way":[65],"toward":[66],"low-cost":[67],"single-sensor":[68],"depth":[71],"using":[73,116],"structured":[74,134],"illumination.":[75,136],"However,":[76],"cost-effective":[77],"commercial":[78],"CFAs":[79],"suffer":[80],"from":[81],"severe":[82],"spectral":[83],"cross":[84,87],"talk.":[85],"This":[86],"talk":[88],"represents":[89],"major":[91],"challenge":[92],"high-quality":[94,123],"imaging,":[96],"rendering":[97],"existing":[98],"spatially":[99],"multiplexed":[100],"impractical.":[103],"this":[105,160],"work,":[106],"we":[107],"introduce":[108],"approach":[111],"image":[114],"reconstruction":[115,164],"learned":[117],"convolutional":[118],"sparse":[119],"priors.":[120],"We":[121],"demonstrate":[122,158],"NIR":[126,135],"for":[128],"challenging":[129],"scenes,":[130],"even":[131],"including":[132],"high-frequency":[133],"The":[137],"effectiveness":[138],"of":[139,150],"proposed":[141],"method":[142],"validated":[144],"large":[147],"data":[148],"set":[149],"experimental":[151],"captures,":[152],"simulated":[154],"benchmark":[155],"results":[156],"which":[157],"that":[159],"work":[161],"achieves":[162],"unprecedented":[163],"quality.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
