{"id":"https://openalex.org/W2106884232","doi":"https://doi.org/10.1109/tip.2012.2222903","title":"Acceleration of the Shiftable $\\mbi{O}{(1)}$ Algorithm for Bilateral Filtering and Nonlocal Means","display_name":"Acceleration of the Shiftable $\\mbi{O}{(1)}$ Algorithm for Bilateral Filtering and Nonlocal Means","publication_year":2012,"publication_date":"2012-10-05","ids":{"openalex":"https://openalex.org/W2106884232","doi":"https://doi.org/10.1109/tip.2012.2222903","mag":"2106884232","pmid":"https://pubmed.ncbi.nlm.nih.gov/23060338"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2222903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2222903","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1203.5128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045035201","display_name":"Kunal N. Chaudhury","orcid":"https://orcid.org/0000-0002-8136-605X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. N. Chaudhury","raw_affiliation_strings":["Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA. kchaudhu@math.princeton.edu","Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA. kchaudhu@math.princeton.edu","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045035201"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":10.8954,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98770242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"22","issue":"4","first_page":"1291","last_page":"1300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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/bilateral-filter","display_name":"Bilateral filter","score":0.818352460861206},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.6990598440170288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6189219355583191},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6013201475143433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5759297609329224},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5432991981506348},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5218480825424194},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49854302406311035},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4551536738872528},{"id":"https://openalex.org/keywords/trigonometry","display_name":"Trigonometry","score":0.4344913065433502},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42899248003959656},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.42781805992126465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38733816146850586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3201591968536377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.27655714750289917},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2118254005908966},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1978238821029663},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18464845418930054},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16397356986999512},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.071135014295578}],"concepts":[{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.818352460861206},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.6990598440170288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6189219355583191},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6013201475143433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5759297609329224},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5432991981506348},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5218480825424194},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49854302406311035},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4551536738872528},{"id":"https://openalex.org/C29001434","wikidata":"https://www.wikidata.org/wiki/Q8084","display_name":"Trigonometry","level":2,"score":0.4344913065433502},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42899248003959656},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.42781805992126465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38733816146850586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3201591968536377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27655714750289917},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2118254005908966},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1978238821029663},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18464845418930054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16397356986999512},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.071135014295578},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2012.2222903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2222903","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:23060338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23060338","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},{"id":"pmh:oai:arXiv.org:1203.5128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1203.5128","pdf_url":"https://arxiv.org/pdf/1203.5128","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1203.5128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1203.5128","pdf_url":"https://arxiv.org/pdf/1203.5128","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W178406657","https://openalex.org/W1528144695","https://openalex.org/W1964772475","https://openalex.org/W1972292376","https://openalex.org/W1989206214","https://openalex.org/W1994275275","https://openalex.org/W1995194116","https://openalex.org/W1997906726","https://openalex.org/W2002022178","https://openalex.org/W2040665675","https://openalex.org/W2041032353","https://openalex.org/W2065533005","https://openalex.org/W2068871408","https://openalex.org/W2093117706","https://openalex.org/W2099244020","https://openalex.org/W2099431685","https://openalex.org/W2107462260","https://openalex.org/W2125281170","https://openalex.org/W2136396015","https://openalex.org/W2137901785","https://openalex.org/W2143425433","https://openalex.org/W2144531167","https://openalex.org/W2146578165","https://openalex.org/W2162618331","https://openalex.org/W2163262991","https://openalex.org/W2244684328","https://openalex.org/W2496163386","https://openalex.org/W3099581845","https://openalex.org/W3123186495","https://openalex.org/W4206567584","https://openalex.org/W4213176410","https://openalex.org/W4245760229","https://openalex.org/W4247010311","https://openalex.org/W4253999777","https://openalex.org/W4256114533","https://openalex.org/W6607236572","https://openalex.org/W6631760055"],"related_works":["https://openalex.org/W2369676483","https://openalex.org/W4297891612","https://openalex.org/W3088540525","https://openalex.org/W2945483049","https://openalex.org/W3123505101","https://openalex.org/W2183380462","https://openalex.org/W3175659462","https://openalex.org/W1974267115","https://openalex.org/W2274012195","https://openalex.org/W2750444717"],"abstract_inverted_index":{"A":[0,22],"direct":[1],"implementation":[2,24,68],"of":[3,18,25,53,69,99,113,126],"the":[4,15,19,26,50,54,70,78,102,118,123,127,137,175,192],"bilateral":[5,27,55,72],"filter":[6,28,73],"requires":[7],"O(\u03c3(s)(2))":[8],"operations":[9,32],"per":[10,33],"pixel,":[11],"where":[12],"\u03c3(s)":[13,38],"is":[14,195],"(effective)":[16],"width":[17,124],"spatial":[20],"kernel.":[21,129],"fast":[23,67],"that":[29,89,117,194],"required":[30],"O(1)":[31],"pixel":[34],"with":[35,133,143,157],"respect":[36],"to":[37,95,149,173,190],"was":[39,43,74,87,116],"recently":[40],"proposed.":[41],"This":[42,145],"done":[44],"by":[45,58,76],"using":[46,82,197],"trigonometric":[47],"functions":[48],"for":[49,155,180],"range":[51,80,128,135,152],"kernel":[52,81],"filter,":[56],"and":[57,168,179],"exploiting":[59],"their":[60],"so-called":[61],"shiftability":[62],"property.":[63],"In":[64,161],"particular,":[65],"a":[66,96,110],"Gaussian":[71,79],"realized":[75],"approximating":[77],"raised":[83],"cosines.":[84],"Later,":[85],"it":[86,147],"demonstrated":[88],"this":[90,114,162,166],"idea":[91],"could":[92],"be":[93],"extended":[94],"larger":[97],"class":[98],"filters,":[100],"including":[101],"popular":[103],"non-local":[104],"means":[105],"filter.":[106],"As":[107],"already":[108],"observed,":[109],"flip":[111],"side":[112],"approach":[115],"run":[119,138],"time":[120,139],"depended":[121],"on":[122],"\u03c3(r)":[125,182],"For":[130],"an":[131],"image":[132],"dynamic":[134,159],"[0,T],":[136],"scaled":[140],"as":[141],"O(T(2)/\u03c3(2)(r))":[142],"\u03c3(r).":[144],"made":[146],"difficult":[148],"implement":[150],"narrow":[151],"kernels,":[153],"particularly":[154],"images":[156],"large":[158],"range.":[160],"paper,":[163],"we":[164],"discuss":[165],"problem,":[167],"propose":[169],"some":[170,187],"simple":[171],"steps":[172],"accelerate":[174],"implementation,":[176],"in":[177,183],"general,":[178],"small":[181],"particular.":[184],"We":[185],"provide":[186],"experimental":[188],"results":[189],"demonstrate":[191],"acceleration":[193],"achieved":[196],"these":[198],"modifications.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":7}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2016-06-24T00:00:00"}
