{"id":"https://openalex.org/W2514709936","doi":"https://doi.org/10.1109/icip.2016.7532974","title":"Constant-time bilateral filter using spectral decomposition","display_name":"Constant-time bilateral filter using spectral decomposition","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2514709936","doi":"https://doi.org/10.1109/icip.2016.7532974","mag":"2514709936"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1149656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075192946","display_name":"Kenjiro Sugimoto","orcid":"https://orcid.org/0009-0005-7957-3411"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenjiro Sugimoto","raw_affiliation_strings":["Production and Systems, Graduate School of Information, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Production and Systems, Graduate School of Information, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045115593","display_name":"Toby P. Breckon","orcid":"https://orcid.org/0000-0003-1666-7590"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toby Breckon","raw_affiliation_strings":["Durham University, School of Engineering and Computing Sciences, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University, School of Engineering and Computing Sciences, United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066452160","display_name":"Sei\u2010ichiro Kamata","orcid":"https://orcid.org/0000-0002-1496-2417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sei-ichiro Kamata","raw_affiliation_strings":["Production and Systems, Graduate School of Information, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Production and Systems, Graduate School of Information, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"3319","last_page":"3323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9994999766349792,"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/computational-complexity-theory","display_name":"Computational complexity theory","score":0.7050184011459351},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6839346885681152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6204109787940979},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6109150648117065},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5700092315673828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5639561414718628},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5372893810272217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39099666476249695},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32325783371925354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14051786065101624}],"concepts":[{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.7050184011459351},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6839346885681152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6204109787940979},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6109150648117065},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5700092315673828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5639561414718628},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5372893810272217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39099666476249695},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32325783371925354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14051786065101624},{"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/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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2016.7532974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:19912","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/19912/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"(2016). 2016 IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, Arizona, USA ; proceedings. Piscataway, NJ: IEEE, pp. 3319-3323","raw_type":"Book chapter"},{"id":"pmh:oai:durham-repository.worktribe.com:1149656","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1149656","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1149656","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1149656","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Presentation / Conference Contribution"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G109053097","display_name":"Study on Fast Image Retrieval and Recognition Using Visual Big Data","funder_award_id":"15K00248","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4518272651","display_name":"Sparse Fourier Transform for High-dimensional Images and Accelerating Deep Learning","funder_award_id":"16K16092","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1515939292","https://openalex.org/W1553254033","https://openalex.org/W1972292376","https://openalex.org/W1973250327","https://openalex.org/W1978010612","https://openalex.org/W1989206214","https://openalex.org/W2010355946","https://openalex.org/W2025194869","https://openalex.org/W2025986317","https://openalex.org/W2030716039","https://openalex.org/W2058367641","https://openalex.org/W2065533005","https://openalex.org/W2088352866","https://openalex.org/W2093117706","https://openalex.org/W2099046646","https://openalex.org/W2099244020","https://openalex.org/W2104599718","https://openalex.org/W2106884232","https://openalex.org/W2107462260","https://openalex.org/W2125281170","https://openalex.org/W2126043703","https://openalex.org/W2132361536","https://openalex.org/W2136396015","https://openalex.org/W2143425433","https://openalex.org/W2144531167","https://openalex.org/W2148912807","https://openalex.org/W2155919893","https://openalex.org/W2156230547","https://openalex.org/W2160451035","https://openalex.org/W2162618331","https://openalex.org/W2163887404","https://openalex.org/W2164598857","https://openalex.org/W2173710661","https://openalex.org/W2244684328","https://openalex.org/W3099581845","https://openalex.org/W4206567584","https://openalex.org/W4233522876","https://openalex.org/W4242198876","https://openalex.org/W4244324388","https://openalex.org/W6630872093","https://openalex.org/W6645032709","https://openalex.org/W6681426593"],"related_works":["https://openalex.org/W2378491141","https://openalex.org/W2148735344","https://openalex.org/W1493568480","https://openalex.org/W4385967523","https://openalex.org/W2995727521","https://openalex.org/W2922314686","https://openalex.org/W876530324","https://openalex.org/W3021187722","https://openalex.org/W1553554852","https://openalex.org/W2088810300"],"abstract_inverted_index":{"This":[0,86],"paper":[1],"presents":[2],"an":[3,30],"efficient":[4],"constant-time":[5,9,22],"bilateral":[6,27],"filter":[7,17,28],"where":[8],"means":[10],"that":[11,76,97],"computational":[12,108],"complexity":[13,109],"is":[14,39,88],"independent":[15],"of":[16,33,36,55,79,106],"window":[18],"size.":[19],"Many":[20],"state-of-the-art":[21,102],"methods":[23,103],"approximate":[24,50,111],"the":[25,46,53,61,74,98],"original":[26],"by":[29,69],"appropriate":[31],"combination":[32],"a":[34,66],"series":[35],"convolutions.":[37,56],"It":[38],"important":[40],"for":[41],"this":[42],"framework":[43],"to":[44,91],"optimize":[45],"performance":[47,63],"tradeoff":[48,64],"between":[49],"accuracy":[51],"and":[52,110],"number":[54],"The":[57],"proposed":[58,99],"method":[59,100],"achieves":[60],"optimal":[62],"in":[65,104],"least-squares":[67],"manner":[68],"using":[70],"spectral":[71],"decomposition":[72],"under":[73],"assumption":[75],"images":[77],"consist":[78],"discrete":[80],"intensities":[81],"such":[82],"as":[83],"8-bit":[84],"images.":[85],"approach":[87],"essentially":[89],"applicable":[90],"arbitrary":[92],"range":[93],"kernel.":[94],"Experiments":[95],"show":[96],"outperforms":[101],"terms":[105],"both":[107],"accuracy.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}