{"id":"https://openalex.org/W2537913362","doi":"https://doi.org/10.1109/esscirc.2016.7598255","title":"An energy-scalable accelerator for blind image deblurring","display_name":"An energy-scalable accelerator for blind image deblurring","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2537913362","doi":"https://doi.org/10.1109/esscirc.2016.7598255","mag":"2537913362"},"language":"en","primary_location":{"id":"doi:10.1109/esscirc.2016.7598255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/esscirc.2016.7598255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference","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/A5029554261","display_name":"Priyanka Raina","orcid":"https://orcid.org/0000-0002-8834-8663"},"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":"Priyanka Raina","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076575494","display_name":"Mehul Tikekar","orcid":null},"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":"Mehul Tikekar","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084128470","display_name":"Anantha P. Chandrakasan","orcid":"https://orcid.org/0000-0002-5977-2748"},"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":"Anantha P. Chandrakasan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029554261"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67012385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"113","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/deblurring","display_name":"Deblurring","score":0.922175943851471},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7884761691093445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7593561410903931},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5632869005203247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5261649489402771},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.49259740114212036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4604526162147522},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.451651006937027},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.41608840227127075},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24581727385520935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24574553966522217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16981878876686096},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.10388222336769104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07673054933547974}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.922175943851471},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7884761691093445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593561410903931},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5632869005203247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5261649489402771},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.49259740114212036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4604526162147522},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.451651006937027},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41608840227127075},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24581727385520935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24574553966522217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16981878876686096},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.10388222336769104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07673054933547974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/esscirc.2016.7598255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/esscirc.2016.7598255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2036682493","https://openalex.org/W2098132613","https://openalex.org/W2107132787","https://openalex.org/W2132244934","https://openalex.org/W2164598857","https://openalex.org/W6659394976","https://openalex.org/W6676219464"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3034770329","https://openalex.org/W4220831754","https://openalex.org/W2089488370","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281"],"abstract_inverted_index":{"Camera":[0],"shake":[1],"is":[2,23,38],"the":[3,16,32,58,119,136],"leading":[4],"cause":[5],"of":[6,127],"blur":[7,13],"in":[8,99,107,122,148],"cell-phone":[9],"camera":[10],"images.":[11],"Removing":[12],"requires":[14],"deconvolving":[15],"blurred":[17,33],"image":[18,66,84,114,142],"with":[19,77,141],"a":[20,46,72,82,87,96,104,112],"kernel":[21,36,63,100,123,156],"which":[22,48],"typically":[24],"unknown":[25],"and":[26,41,86,103,125,162],"needs":[27],"to":[28,118,131,138],"be":[29],"estimated":[30],"from":[31],"image.":[34],"This":[35,55],"estimation":[37,64,101,157],"computationally":[39],"intensive":[40],"takes":[42],"several":[43],"minutes":[44],"on":[45],"CPU":[47],"makes":[49],"it":[50,166],"unsuitable":[51],"for":[52,62,65,111,155,168],"mobile":[53,171],"devices.":[54,172],"work":[56],"presents":[57],"first":[59],"hardware":[60],"accelerator":[61],"deblurring":[67,109],"applications.":[68],"Our":[69],"approach,":[70],"using":[71],"multi-resolution":[73],"IRLS":[74],"deconvolution":[75],"engine":[76],"DFT":[78],"based":[79,91],"matrix":[80],"multiplication,":[81],"high-throughput":[83],"correlator":[85],"high-speed":[88],"selective":[89],"update":[90],"gradient":[92],"projection":[93],"solver,":[94],"achieves":[95],"78\u00d7":[97],"reduction":[98,106],"runtime,":[102],"56\u00d7":[105],"total":[108],"time":[110],"1920\u00d71080":[113],"enabling":[115],"quick":[116],"feedback":[117],"user.":[120],"Configurability":[121],"size":[124],"number":[126],"iterations":[128],"gives":[129],"up":[130],"10\u00d7":[132],"energy":[133],"scalability,":[134],"allowing":[135],"system":[137],"trade-off":[139],"runtime":[140],"quality.":[143],"The":[144],"test":[145],"chip,":[146],"fabricated":[147],"40":[149],"nm":[150],"CMOS,":[151],"consumes":[152],"105":[153],"mJ":[154],"running":[158],"at":[159],"83":[160],"MHz":[161],"0.9":[163],"V,":[164],"making":[165],"suitable":[167],"integration":[169],"into":[170]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
