{"id":"https://openalex.org/W4402350183","doi":"https://doi.org/10.1145/3678582","title":"ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras","display_name":"ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras","publication_year":2024,"publication_date":"2024-08-22","ids":{"openalex":"https://openalex.org/W4402350183","doi":"https://doi.org/10.1145/3678582"},"language":"en","primary_location":{"id":"doi:10.1145/3678582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678582","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-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/A5045730504","display_name":"Dhruv Verma","orcid":"https://orcid.org/0000-0002-4780-5901"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dhruv Verma","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4780-5901","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107079176","display_name":"Ian Ruffolo","orcid":"https://orcid.org/0009-0001-1592-9248"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ian Ruffolo","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0009-0001-1592-9248","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004550709","display_name":"David B. Lindell","orcid":"https://orcid.org/0000-0002-6999-3958"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David B. Lindell","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6999-3958","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019763907","display_name":"Kiriakos N. Kutulakos","orcid":"https://orcid.org/0000-0002-5165-902X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kiriakos N. Kutulakos","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5165-902X","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058862746","display_name":"Alex Mariakakis","orcid":"https://orcid.org/0000-0002-9986-3345"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alex Mariakakis","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9986-3345","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4375,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62124866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"8","issue":"3","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T11996","display_name":"Random lasers and scattering media","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9324723482131958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7826532125473022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7476584315299988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7466006278991699},{"id":"https://openalex.org/keywords/shutter","display_name":"Shutter","score":0.7283142805099487},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.6533783674240112},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5661560297012329},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5656268000602722},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5220561027526855},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4968262016773224},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4921928942203522},{"id":"https://openalex.org/keywords/rolling-shutter","display_name":"Rolling shutter","score":0.4368988871574402},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.31175169348716736},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21231767535209656},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10213771462440491},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09309461712837219}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9324723482131958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7826532125473022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7476584315299988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466006278991699},{"id":"https://openalex.org/C2776871301","wikidata":"https://www.wikidata.org/wiki/Q691823","display_name":"Shutter","level":2,"score":0.7283142805099487},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6533783674240112},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5661560297012329},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5656268000602722},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5220561027526855},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4968262016773224},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4921928942203522},{"id":"https://openalex.org/C2776166537","wikidata":"https://www.wikidata.org/wiki/Q2164193","display_name":"Rolling shutter","level":3,"score":0.4368988871574402},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31175169348716736},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21231767535209656},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10213771462440491},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09309461712837219},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678582","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W121945678","https://openalex.org/W609694675","https://openalex.org/W1975366023","https://openalex.org/W1979606301","https://openalex.org/W1984864470","https://openalex.org/W2012761844","https://openalex.org/W2015415108","https://openalex.org/W2023471811","https://openalex.org/W2043960878","https://openalex.org/W2067276044","https://openalex.org/W2079319869","https://openalex.org/W2099641086","https://openalex.org/W2125188192","https://openalex.org/W2129131372","https://openalex.org/W2137009054","https://openalex.org/W2163753106","https://openalex.org/W2466285044","https://openalex.org/W2511386084","https://openalex.org/W2751569806","https://openalex.org/W2752010061","https://openalex.org/W2753685993","https://openalex.org/W2766101120","https://openalex.org/W2768964249","https://openalex.org/W2793546538","https://openalex.org/W2806597708","https://openalex.org/W2888794091","https://openalex.org/W2891020776","https://openalex.org/W2901677542","https://openalex.org/W2907164533","https://openalex.org/W2948437274","https://openalex.org/W2951405960","https://openalex.org/W2953583120","https://openalex.org/W2958407396","https://openalex.org/W2963505747","https://openalex.org/W2980405973","https://openalex.org/W2994167575","https://openalex.org/W3000208000","https://openalex.org/W3003204379","https://openalex.org/W3018221629","https://openalex.org/W3025732633","https://openalex.org/W3034755378","https://openalex.org/W3035510385","https://openalex.org/W3099189289","https://openalex.org/W3105938636","https://openalex.org/W3109122857","https://openalex.org/W3134510327","https://openalex.org/W3135630532","https://openalex.org/W3190422150","https://openalex.org/W3201949031","https://openalex.org/W3211152704","https://openalex.org/W4200290855","https://openalex.org/W4214858020","https://openalex.org/W4224294196","https://openalex.org/W4229450938","https://openalex.org/W4292363360","https://openalex.org/W4297097681","https://openalex.org/W4315631051","https://openalex.org/W4319837365","https://openalex.org/W4386065535","https://openalex.org/W4387227650"],"related_works":["https://openalex.org/W2329776479","https://openalex.org/W2101028311","https://openalex.org/W2357032018","https://openalex.org/W1573874963","https://openalex.org/W2384422880","https://openalex.org/W2398170027","https://openalex.org/W1975186948","https://openalex.org/W3204130698","https://openalex.org/W3191254673","https://openalex.org/W2329937575"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1,48],"captures":[2],"scene":[3],"information":[4],"across":[5,164],"narrow,":[6],"contiguous":[7],"bands":[8],"of":[9,62,92,119,140,174],"the":[10,67,79,86,117,144,171],"electromagnetic":[11],"spectrum.":[12],"Despite":[13],"its":[14,22,159],"proven":[15],"utility":[16],"in":[17,83],"industrial":[18],"and":[19,34,57,137,157,161],"biomedical":[20],"applications,":[21],"ubiquity":[23],"has":[24],"been":[25],"limited":[26],"by":[27,122,177,209],"bulky":[28],"form":[29],"factors,":[30],"slow":[31],"capture":[32],"times,":[33],"prohibitive":[35],"costs.":[36],"In":[37,186],"this":[38,63,104,120],"work,":[39],"we":[40],"propose":[41],"a":[42,52,71,108,124,131,138],"generalized":[43],"approach":[44,64,121],"to":[45,89,142,197],"snapshot":[46,205],"hyperspectral":[47,110,155,202,214],"that":[49,193],"only":[50],"requires":[51],"standard":[53],"rolling":[54,68],"shutter":[55,69],"camera":[56,133],"wavelength-adjustable":[58],"lighting.":[59],"The":[60],"crux":[61],"entails":[65],"using":[66,112],"as":[70],"spatiotemporal":[72],"mask,":[73],"varying":[74],"incoming":[75],"light":[76],"quicker":[77],"than":[78],"camera's":[80],"frame":[81],"rate":[82],"order":[84],"for":[85,134],"captured":[87],"image":[88,99,106,111,135],"contain":[90],"rows":[91],"pixels":[93],"illuminated":[94],"at":[95,212],"different":[96],"wavelengths.":[97],"An":[98],"reconstruction":[100],"pipeline":[101],"then":[102],"converts":[103],"coded":[105],"into":[107,201],"complete":[109],"sparse":[113],"optimization.":[114],"We":[115,147,168],"demonstrate":[116],"feasibility":[118],"deploying":[123],"low-cost":[125],"system":[126,166],"called":[127],"ChromaFlash,":[128],"which":[129],"uses":[130],"smartphone's":[132],"acquisition":[136],"series":[139],"LEDs":[141],"change":[143],"scene's":[145],"illumination.":[146],"evaluated":[148],"ChromaFlash":[149,189],"through":[150],"simulations":[151],"on":[152],"two":[153],"public":[154],"datasets":[156],"assessed":[158],"spatial":[160],"spectral":[162],"accuracy":[163],"various":[165],"parameters.":[167],"also":[169],"tested":[170],"real-world":[172],"performance":[173,206],"our":[175],"prototype":[176],"capturing":[178],"diverse":[179],"scenes":[180],"under":[181],"varied":[182],"ambient":[183],"lighting":[184],"conditions.":[185],"both":[187],"experiments,":[188],"outperformed":[190],"state-of-the-art":[191],"techniques":[192],"use":[194],"deep":[195],"learning":[196],"convert":[198],"RGB":[199],"images":[200],"ones,":[203],"achieving":[204],"not":[207],"demonstrated":[208],"prior":[210],"attempts":[211],"accessible":[213],"imaging.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
