{"id":"https://openalex.org/W2805297939","doi":"https://doi.org/10.1109/iccphot.2018.8368463","title":"Towards photography through realistic fog","display_name":"Towards photography through realistic fog","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2805297939","doi":"https://doi.org/10.1109/iccphot.2018.8368463","mag":"2805297939"},"language":"en","primary_location":{"id":"doi:10.1109/iccphot.2018.8368463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2018.8368463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/138095.2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008293905","display_name":"Guy Satat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guy Satat","raw_affiliation_strings":["MIT Media Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058341556","display_name":"Matthew Tancik","orcid":"https://orcid.org/0000-0002-9059-7909"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Tancik","raw_affiliation_strings":["MIT Media Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023495279","display_name":"Ramesh Raskar","orcid":"https://orcid.org/0000-0002-3254-3224"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramesh Raskar","raw_affiliation_strings":["MIT Media Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Lab","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142372"],"apc_list":null,"apc_paid":null,"fwci":26.3803,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.99455725,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T11996","display_name":"Random lasers and scattering media","score":0.9947999715805054,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9940000176429749,"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/visibility","display_name":"Visibility","score":0.6564920544624329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629324197769165},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.5275663137435913},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49177220463752747},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4827541708946228},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.47242462635040283},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4561029076576233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4472000002861023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42856526374816895},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.4246191084384918},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25893455743789673},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20785072445869446},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1835387647151947},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10238689184188843}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6564920544624329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629324197769165},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.5275663137435913},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49177220463752747},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4827541708946228},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.47242462635040283},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4561029076576233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42856526374816895},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.4246191084384918},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25893455743789673},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20785072445869446},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1835387647151947},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10238689184188843},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccphot.2018.8368463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2018.8368463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/138095.2","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/138095.2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/138095.2","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/138095.2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1971646136","https://openalex.org/W1977235425","https://openalex.org/W1992290308","https://openalex.org/W2003709967","https://openalex.org/W2016549506","https://openalex.org/W2028990532","https://openalex.org/W2047738323","https://openalex.org/W2065579036","https://openalex.org/W2086961060","https://openalex.org/W2097900287","https://openalex.org/W2110644821","https://openalex.org/W2112858385","https://openalex.org/W2113969406","https://openalex.org/W2140408595","https://openalex.org/W2155586404","https://openalex.org/W2163339695","https://openalex.org/W2168894291","https://openalex.org/W2192254709","https://openalex.org/W2198480319","https://openalex.org/W2256362396","https://openalex.org/W2272324619","https://openalex.org/W2294015461","https://openalex.org/W2299392318","https://openalex.org/W2420631737","https://openalex.org/W2440360155","https://openalex.org/W2461218512","https://openalex.org/W2467473805","https://openalex.org/W2470080362","https://openalex.org/W2518945384","https://openalex.org/W2524562612","https://openalex.org/W2547798018","https://openalex.org/W2663975640","https://openalex.org/W2669394772","https://openalex.org/W2723749992","https://openalex.org/W2735425621","https://openalex.org/W2749967461","https://openalex.org/W2755257996","https://openalex.org/W2766030009","https://openalex.org/W2777077087","https://openalex.org/W2781130709","https://openalex.org/W2963511208","https://openalex.org/W3106536704","https://openalex.org/W6662176562","https://openalex.org/W6664317280","https://openalex.org/W6726382269","https://openalex.org/W6740223244"],"related_works":["https://openalex.org/W2362400270","https://openalex.org/W2361248577","https://openalex.org/W3010334531","https://openalex.org/W2804670141","https://openalex.org/W2994735104","https://openalex.org/W2027349390","https://openalex.org/W1983639621","https://openalex.org/W2188751381","https://openalex.org/W1988828630","https://openalex.org/W1997064583"],"abstract_inverted_index":{"Imaging":[0],"through":[1],"fog":[2,29,44,56,130,176,181],"has":[3],"important":[4],"applications":[5],"in":[6,93,171,179,216,222],"industries":[7],"such":[8],"as":[9],"self-driving":[10],"cars,":[11],"augmented":[12],"driving,":[13],"airplanes,":[14],"helicopters,":[15],"drones":[16],"and":[17,57,72,81,100,208,218],"trains.":[18],"Here":[19],"we":[20,69,107],"show":[21],"that":[22,34,116,145,159,198],"time":[23,157,225],"profiles":[24],"of":[25,74,175,206,214],"light":[26,38],"reflected":[27,39,53,60],"from":[28,37,40,54,61,132,147,161,189],"have":[30],"a":[31,75,109,172,180,204],"distribution":[32],"(Gamma)":[33],"is":[35,91,101,125,168,195],"different":[36],"objects":[41,186],"occluded":[42,63],"by":[43,78],"(Gaussian).":[45],"This":[46],"helps":[47],"to":[48,127,151],"distinguish":[49],"between":[50],"background":[51],"photons":[52,59],"the":[55,62,88,129,133,152,190,193],"signal":[58],"object.":[64],"Based":[65],"on":[66,103,143,156],"this":[67],"observation,":[68],"recover":[70],"reflectance":[71,210],"depth":[73,202],"scene":[76,209],"obstructed":[77],"dense,":[79],"dynamic,":[80],"heterogeneous":[82],"fog.":[83],"For":[84],"practical":[85],"use":[86,108],"cases,":[87],"imaging":[89],"system":[90],"designed":[92],"optical":[94],"reflection":[95],"mode":[96],"with":[97,203,211],"minimal":[98],"footprint":[99],"based":[102,142],"LIDAR":[104],"hardware.":[105],"Specifically,":[106],"single":[110],"photon":[111],"avalanche":[112],"diode":[113],"(SPAD)":[114],"camera":[115,191],"time-tags":[117],"individual":[118],"detected":[119],"photons.":[120],"A":[121],"probabilistic":[122],"computational":[123],"framework":[124],"developed":[126],"estimate":[128],"properties":[131],"measurement":[134],"itself,":[135],"without":[136],"prior":[137],"knowledge.":[138],"Other":[139],"solutions":[140],"are":[141],"radar":[144],"suffers":[146,160],"poor":[148],"resolution":[149,205],"(due":[150],"long":[153],"wavelength),":[154],"or":[155],"gating":[158,226],"low":[162],"signal-to-noise":[163],"ratio.":[164],"The":[165],"suggested":[166],"technique":[167],"experimentally":[169],"evaluated":[170],"wide":[173],"range":[174],"densities":[177],"created":[178],"chamber":[182],"It":[183],"demonstrates":[184],"recovering":[185],"57cm":[187],"away":[188],"when":[192],"visibility":[194],"37cm.":[196],"In":[197],"case":[199],"it":[200],"recovers":[201],"5cm":[207],"an":[212],"improvement":[213],"4dB":[215],"PSNR":[217],"3.4\u00d7":[219],"reconstruction":[220],"quality":[221],"SSIM":[223],"over":[224],"techniques.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}