{"id":"https://openalex.org/W2891878684","doi":"https://doi.org/10.1109/tip.2018.2871597","title":"Fast Adaptive Bilateral Filtering","display_name":"Fast Adaptive Bilateral Filtering","publication_year":2018,"publication_date":"2018-09-20","ids":{"openalex":"https://openalex.org/W2891878684","doi":"https://doi.org/10.1109/tip.2018.2871597","mag":"2891878684","pmid":"https://pubmed.ncbi.nlm.nih.gov/30235131"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2871597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2871597","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/1811.02308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062644223","display_name":"Ruturaj G. Gavaskar","orcid":"https://orcid.org/0000-0002-7060-3312"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ruturaj G. Gavaskar","raw_affiliation_strings":["Indian Institute of Science, Bangalore, Karnataka, IN"],"raw_orcid":"https://orcid.org/0000-0002-7060-3312","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045035201","display_name":"Kunal N. Chaudhury","orcid":"https://orcid.org/0000-0002-8136-605X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kunal N. Chaudhury","raw_affiliation_strings":["Indian Institute of Science, Bangalore, Karnataka, IN"],"raw_orcid":"https://orcid.org/0000-0002-8136-605X","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":5.3039,"has_fulltext":false,"cited_by_count":165,"citation_normalized_percentile":{"value":0.96836516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"28","issue":"2","first_page":"779","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.6020627021789551},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.5903761386871338},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5809372067451477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5521867275238037},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.551832914352417},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5177456736564636},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5027575492858887},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.48461398482322693},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4787784814834595},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4596107006072998},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4370889365673065},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.43546003103256226},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4169081449508667},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.39040911197662354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3777538239955902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3571169972419739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3309423625469208},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.28050053119659424},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21642836928367615},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.12144848704338074}],"concepts":[{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.6020627021789551},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.5903761386871338},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5809372067451477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5521867275238037},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.551832914352417},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5177456736564636},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5027575492858887},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.48461398482322693},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4787784814834595},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4596107006072998},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4370889365673065},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.43546003103256226},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4169081449508667},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.39040911197662354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3777538239955902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3571169972419739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3309423625469208},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.28050053119659424},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21642836928367615},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.12144848704338074},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2018.2871597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2871597","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:30235131","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30235131","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:eprints.iisc.ac.in:60914","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1811.02308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.02308","pdf_url":"https://arxiv.org/pdf/1811.02308","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:1811.02308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.02308","pdf_url":"https://arxiv.org/pdf/1811.02308","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":54,"referenced_works":["https://openalex.org/W180758837","https://openalex.org/W1502549526","https://openalex.org/W1515939292","https://openalex.org/W1528144695","https://openalex.org/W1553254033","https://openalex.org/W1578054159","https://openalex.org/W1738124305","https://openalex.org/W1873172440","https://openalex.org/W1960693213","https://openalex.org/W1985293921","https://openalex.org/W1995031544","https://openalex.org/W1995194116","https://openalex.org/W1996464601","https://openalex.org/W1999601999","https://openalex.org/W2004346156","https://openalex.org/W2027451748","https://openalex.org/W2044087660","https://openalex.org/W2063655852","https://openalex.org/W2069804294","https://openalex.org/W2078718577","https://openalex.org/W2088352866","https://openalex.org/W2099046646","https://openalex.org/W2099244020","https://openalex.org/W2106884232","https://openalex.org/W2107462260","https://openalex.org/W2109075629","https://openalex.org/W2123597619","https://openalex.org/W2125188192","https://openalex.org/W2144531167","https://openalex.org/W2145367339","https://openalex.org/W2155919893","https://openalex.org/W2162618331","https://openalex.org/W2166038949","https://openalex.org/W2231495490","https://openalex.org/W2244684328","https://openalex.org/W2288002998","https://openalex.org/W2291143146","https://openalex.org/W2303971967","https://openalex.org/W2315278511","https://openalex.org/W2327634663","https://openalex.org/W2423236762","https://openalex.org/W2547518618","https://openalex.org/W2578004414","https://openalex.org/W2605409124","https://openalex.org/W2727339049","https://openalex.org/W2794686168","https://openalex.org/W2816653114","https://openalex.org/W2888266695","https://openalex.org/W3104239115","https://openalex.org/W3105373922","https://openalex.org/W4253898187","https://openalex.org/W6646542030","https://openalex.org/W6667647585","https://openalex.org/W7070871703"],"related_works":["https://openalex.org/W2369676483","https://openalex.org/W4297891612","https://openalex.org/W3088540525","https://openalex.org/W2750444717","https://openalex.org/W2274012195","https://openalex.org/W2374439143","https://openalex.org/W3123505101","https://openalex.org/W2163262991","https://openalex.org/W2735902060","https://openalex.org/W2099748983"],"abstract_inverted_index":{"In":[0,114,185],"the":[1,27,33,38,78,81,99,132,140,143,164,170,180,193,196,207,217,229,240,245],"classical":[2],"bilateral":[3,30,79,102,124],"filter,":[4,26,31,80],"a":[5,14,22,110,119,167],"fixed":[6,111],"Gaussian":[7,39],"range":[8,40,112,151],"kernel":[9,16,41],"is":[10,137,190,198,211],"used":[11,65],"along":[12],"with":[13,109,131,166,174],"spatial":[15,133],"for":[17,56,66,101,122,250],"edge-preserving":[18],"smoothing.":[19],"We":[20,159,243],"consider":[21],"generalization":[23],"of":[24,37,84,105,206,247],"this":[25,51,115],"so-called":[28],"adaptive":[29,86,123],"where":[32],"center":[34],"and":[35,58,73,169,216,254],"width":[36],"are":[42,220],"allowed":[43],"to":[44,48,77,204],"change":[45],"from":[46],"pixel":[47],"pixel.":[49],"Though":[50],"variant":[52],"was":[53],"originally":[54],"proposed":[55,97],"sharpening":[57],"noise":[59],"removal,":[60],"it":[61],"can":[62,146,178,227],"also":[63],"be":[64,147],"other":[67],"applications,":[68],"such":[69],"as":[70],"artifact":[71],"removal":[72],"texture":[74,255],"filtering.":[75,256],"Similar":[76],"brute-force":[82,230],"implementation":[83,231],"its":[85,202],"counterpart":[87],"requires":[88],"intense":[89],"computations.":[90],"While":[91],"several":[92],"fast":[93,120,214],"algorithms":[94],"have":[95],"been":[96],"in":[98,150,239],"literature":[100],"filtering,":[103,125],"most":[104],"them":[106],"work":[107],"only":[108],"kernel.":[113],"paper,":[116],"we":[117,177],"propose":[118],"algorithm":[121,189,226,249],"whose":[126],"complexity":[127],"does":[128],"not":[129],"scale":[130],"filter":[134,181],"width.":[135],"This":[136],"based":[138],"on":[139],"observation":[141],"that":[142,161],"concerned":[144],"filtering":[145],"performed":[148],"purely":[149],"space":[152],"using":[153,182,192,213,223],"an":[154,175,187],"appropriately":[155],"defined":[156],"local":[157],"histogram.":[158],"show":[160],"by":[162,200,232],"replacing":[163],"histogram":[165,209],"polynomial":[168,197],"finite":[171],"range-space":[172],"sum":[173],"integral,":[176],"approximate":[179],"analytic":[183,218],"functions.":[184],"particular,":[186],"efficient":[188],"derived":[191],"following":[194],"innovations:":[195],"fitted":[199],"matching":[201],"moments":[203],"those":[205],"target":[208],"(this":[210],"done":[212],"convolutions),":[215],"functions":[219],"recursively":[221],"computed":[222],"integration-by-parts.":[224],"Our":[225],"accelerate":[228],"at":[233],"least":[234],",":[235],"without":[236],"perceptible":[237],"distortions":[238],"visual":[241],"quality.":[242],"demonstrate":[244],"effectiveness":[246],"our":[248],"sharpening,":[251],"JPEG":[252],"deblocking,":[253]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
