{"id":"https://openalex.org/W2349452180","doi":"https://doi.org/10.1109/icip.2016.7532673","title":"Fast bilateral filtering of vector-valued images","display_name":"Fast bilateral filtering of vector-valued images","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2349452180","doi":"https://doi.org/10.1109/icip.2016.7532673","mag":"2349452180"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532673","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.02164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080914177","display_name":"Sanjay Ghosh","orcid":"https://orcid.org/0000-0002-0474-5072"},"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":"Sanjay Ghosh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science","Department of Electrical Engineering, Indian institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian institute of Science","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":["Department of Electrical Engineering, Indian Institute of Science","Department of Electrical Engineering, Indian institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian institute of Science","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":0.1657,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53979409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1823","last_page":"1827"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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":0.9972000122070312,"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":0.6916208267211914},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6806280016899109},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6728034019470215},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6617361307144165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6079491376876831},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6032333374023438},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5720070600509644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320575833320618},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5304509997367859},{"id":"https://openalex.org/keywords/direction-cosine","display_name":"Direction cosine","score":0.5134495496749878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47754964232444763},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4591085910797119},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45877206325531006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43736886978149414},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.42916861176490784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3486824035644531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3423827886581421},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07327905297279358},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07273465394973755},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07075297832489014},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.06610679626464844}],"concepts":[{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.6916208267211914},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6806280016899109},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6728034019470215},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6617361307144165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6079491376876831},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6032333374023438},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5720070600509644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320575833320618},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5304509997367859},{"id":"https://openalex.org/C9578719","wikidata":"https://www.wikidata.org/wiki/Q2518906","display_name":"Direction cosine","level":2,"score":0.5134495496749878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47754964232444763},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4591085910797119},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45877206325531006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43736886978149414},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.42916861176490784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3486824035644531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3423827886581421},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07327905297279358},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07273465394973755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07075297832489014},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.06610679626464844},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip.2016.7532673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532673","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:eprints.iisc.ac.in:56140","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":"Conference Proceedings"},{"id":"pmh:oai:arXiv.org:1605.02164","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02164","pdf_url":"https://arxiv.org/pdf/1605.02164","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2349452180","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.02164.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1605.02164","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.02164","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.02164","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02164","pdf_url":"https://arxiv.org/pdf/1605.02164","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2349452180.pdf","grobid_xml":"https://content.openalex.org/works/W2349452180.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1553254033","https://openalex.org/W1995194116","https://openalex.org/W2008455861","https://openalex.org/W2065533005","https://openalex.org/W2099244020","https://openalex.org/W2106884232","https://openalex.org/W2107462260","https://openalex.org/W2125281170","https://openalex.org/W2162618331","https://openalex.org/W2303971967","https://openalex.org/W2327634663","https://openalex.org/W4206567584","https://openalex.org/W6681426593","https://openalex.org/W7070871703"],"related_works":["https://openalex.org/W1566656282","https://openalex.org/W1984141991","https://openalex.org/W2107097110","https://openalex.org/W2209692720","https://openalex.org/W2789251705","https://openalex.org/W2011292410","https://openalex.org/W2084512488","https://openalex.org/W2086895835","https://openalex.org/W2112431885","https://openalex.org/W1558590599","https://openalex.org/W2360562748","https://openalex.org/W2017314748","https://openalex.org/W1976240947","https://openalex.org/W2557550535","https://openalex.org/W2737784961","https://openalex.org/W2540828391","https://openalex.org/W1530575442","https://openalex.org/W2546301195","https://openalex.org/W2148689865","https://openalex.org/W2146428261"],"abstract_inverted_index":{"In":[0],"this":[1,20],"paper,":[2],"we":[3],"consider":[4],"a":[5,30],"natural":[6],"extension":[7],"of":[8,19,42,65],"the":[9,39,43,63,66,69,72],"edge-preserving":[10],"bilateral":[11,44],"filter":[12,22,45],"for":[13],"vector-valued":[14],"images.":[15],"The":[16],"direct":[17,73],"computation":[18],"non-linear":[21],"is":[23],"slow":[24],"in":[25],"practice.":[26],"We":[27,54],"demonstrate":[28,62],"how":[29],"fast":[31],"algorithm":[32,67],"can":[33],"be":[34],"obtained":[35],"by":[36],"first":[37],"approximating":[38],"Gaussian":[40],"kernel":[41],"using":[46,50],"raised-cosines,":[47],"and":[48,68],"then":[49],"Monte":[51],"Carlo":[52],"sampling.":[53],"present":[55],"simulation":[56],"results":[57],"on":[58],"color":[59],"images":[60],"to":[61],"accuracy":[64],"speedup":[70],"over":[71],"implementation.":[74]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
