{"id":"https://openalex.org/W4220713611","doi":"https://doi.org/10.1145/3508461","title":"Searching for Fast Demosaicking Algorithms","display_name":"Searching for Fast Demosaicking Algorithms","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4220713611","doi":"https://doi.org/10.1145/3508461"},"language":"en","primary_location":{"id":"doi:10.1145/3508461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508461","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508461","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3508461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069584996","display_name":"Karima Ma","orcid":"https://orcid.org/0000-0003-4180-6433"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karima Ma","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":"https://orcid.org/0000-0003-4180-6433","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089857290","display_name":"Micha\u00ebl Gharbi","orcid":"https://orcid.org/0000-0002-4190-6955"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gharbi","raw_affiliation_strings":["Adobe Systems Inc, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems Inc, Seattle, WA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082293572","display_name":"Andrew Adams","orcid":"https://orcid.org/0000-0001-8925-9956"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Adams","raw_affiliation_strings":["Adobe Systems Inc, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems Inc, Seattle, WA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039453861","display_name":"Shoaib Kamil","orcid":"https://orcid.org/0000-0001-5965-3717"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shoaib Kamil","raw_affiliation_strings":["Adobe Systems Inc, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems Inc, Seattle, WA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030293104","display_name":"Tzu\u2010Mao Li","orcid":"https://orcid.org/0000-0001-5443-470X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tzu-Mao Li","raw_affiliation_strings":["University of California San Diego, La Jolla, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083898813","display_name":"Connelly Barnes","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connelly Barnes","raw_affiliation_strings":["Adobe Systems Inc, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Systems Inc, Seattle, WA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023577472","display_name":"Jonathan Ragan\u2010Kelley","orcid":"https://orcid.org/0000-0001-6243-9543"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Ragan-Kelley","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069584996"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":1.4211,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82223154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"41","issue":"5","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9966999888420105,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9884999990463257,"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/demosaicing","display_name":"Demosaicing","score":0.884698748588562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251946330070496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6325151324272156},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.5513573884963989},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4751574695110321},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4742238521575928},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.42730849981307983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4114558696746826},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31683748960494995},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25652870535850525},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.21490582823753357},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.09377652406692505}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.884698748588562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251946330070496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6325151324272156},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.5513573884963989},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4751574695110321},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4742238521575928},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.42730849981307983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4114558696746826},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31683748960494995},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25652870535850525},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.21490582823753357},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.09377652406692505},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3508461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508461","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508461","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/146387","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/146387","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","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM","raw_type":"http://purl.org/eprint/type/JournalArticle"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt2pv1r06n","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2pv1r06n","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Graphics, vol 41, iss 5","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3508461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508461","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508461","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3255345999","display_name":null,"funder_award_id":"HR00112090017","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4114360273","display_name":"CAPA: Collaborative Research: ARION: Taming Heterogeneity with DSLs, Approximation, and Synthesis","funder_award_id":"1723445","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6757374384","display_name":null,"funder_award_id":"CCF-1723445","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220713611.pdf","grobid_xml":"https://content.openalex.org/works/W4220713611.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1576818901","https://openalex.org/W1857508347","https://openalex.org/W1912194039","https://openalex.org/W1969210895","https://openalex.org/W1981938423","https://openalex.org/W1983049712","https://openalex.org/W1989988531","https://openalex.org/W2015951798","https://openalex.org/W2021347102","https://openalex.org/W2035192779","https://openalex.org/W2035555662","https://openalex.org/W2053779250","https://openalex.org/W2069051299","https://openalex.org/W2079359870","https://openalex.org/W2086375115","https://openalex.org/W2106477124","https://openalex.org/W2120853285","https://openalex.org/W2127457591","https://openalex.org/W2141083408","https://openalex.org/W2152178471","https://openalex.org/W2153377815","https://openalex.org/W2155311268","https://openalex.org/W2155838693","https://openalex.org/W2164734076","https://openalex.org/W2194775991","https://openalex.org/W2437754452","https://openalex.org/W2476548250","https://openalex.org/W2509143135","https://openalex.org/W2549139847","https://openalex.org/W2556872594","https://openalex.org/W2755686313","https://openalex.org/W2770058243","https://openalex.org/W2792690686","https://openalex.org/W2796265726","https://openalex.org/W2806144254","https://openalex.org/W2810610794","https://openalex.org/W2866634454","https://openalex.org/W2885311373","https://openalex.org/W2913252637","https://openalex.org/W2913541967","https://openalex.org/W2914829730","https://openalex.org/W2921595853","https://openalex.org/W2961619211","https://openalex.org/W2962778775","https://openalex.org/W2963452532","https://openalex.org/W2963918968","https://openalex.org/W2964042923","https://openalex.org/W2964081807","https://openalex.org/W2974480317","https://openalex.org/W2990394688","https://openalex.org/W2998998803","https://openalex.org/W3005044106","https://openalex.org/W3035496815","https://openalex.org/W3083579885","https://openalex.org/W3085369891","https://openalex.org/W3102307785","https://openalex.org/W3163767593","https://openalex.org/W3176469911","https://openalex.org/W4235375376","https://openalex.org/W4253716310","https://openalex.org/W6753278433"],"related_works":["https://openalex.org/W2080784917","https://openalex.org/W2294473561","https://openalex.org/W2151502878","https://openalex.org/W4252390810","https://openalex.org/W2065619218","https://openalex.org/W2802319237","https://openalex.org/W2156085068","https://openalex.org/W3181725583","https://openalex.org/W2037265287","https://openalex.org/W2187346426"],"abstract_inverted_index":{"We":[0,47,58],"present":[1],"a":[2,12,18,26,82,90,105],"method":[3,50,165],"to":[4,51,61,100,113],"automatically":[5,166],"synthesize":[6],"efficient,":[7],"high-quality":[8],"demosaicking":[9,65,78,149],"algorithms,":[10],"across":[11,104],"range":[13,106],"of":[14,92,107,116,143],"computational":[15,42,108],"budgets,":[16],"given":[17],"loss":[19],"function":[20],"and":[21,37,44,68,79,146,159,168],"training":[22],"data.":[23],"It":[24],"performs":[25],"multi-objective,":[27],"discrete-continuous":[28],"optimization":[29],"which":[30,156],"simultaneously":[31],"solves":[32],"for":[33,55,177],"the":[34,49,101,126],"program":[35],"structure":[36,54],"parameters":[38],"that":[39,94],"best":[40],"tradeoff":[41],"cost":[43],"image":[45,97],"quality.":[46],"design":[48],"exploit":[52],"domain-specific":[53],"search":[56],"efficiency.":[57],"apply":[59],"it":[60,88],"several":[62],"tasks,":[63],"including":[64],"both":[66,144],"Bayer":[67],"Fuji":[69],"X-Trans":[70],"color":[71],"filter":[72],"patterns,":[73],"as":[74,76],"well":[75],"joint":[77],"super-resolution.":[80],"In":[81],"few":[83],"days":[84],"on":[85],"8":[86],"GPUs,":[87],"produces":[89],"family":[91],"algorithms":[93,150],"significantly":[95],"improves":[96],"quality":[98,124],"relative":[99],"prior":[102],"state-of-the-art":[103],"budgets":[109],"from":[110],"10":[111],"s":[112,115],"1000":[114],"operations":[117],"per":[118],"pixel":[119],"(1":[120],"dB\u20133":[121],"dB":[122],"higher":[123,131],"at":[125,133],"same":[127,134],"cost,":[128],"or":[129,135],"8.5\u2013200\u00d7":[130],"throughput":[132],"better":[136],"quality).":[137],"The":[138],"resulting":[139],"programs":[140,172],"combine":[141],"features":[142],"classical":[145],"deep":[147],"learning-based":[148],"into":[151,173],"more":[152],"efficient":[153],"hybrid":[154],"combinations,":[155],"are":[157],"bandwidth-efficient":[158],"vectorizable":[160],"by":[161],"construction.":[162],"Finally,":[163],"our":[164],"schedules":[167],"compiles":[169],"all":[170],"generated":[171],"optimized":[174],"SIMD":[175],"code":[176],"modern":[178],"processors.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}