{"id":"https://openalex.org/W3090912959","doi":"https://doi.org/10.1109/icip40778.2020.9191059","title":"Image Tiling For Clustering To Improve Stability Of Constant-Time Color Bilateral Filtering","display_name":"Image Tiling For Clustering To Improve Stability Of Constant-Time Color Bilateral Filtering","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090912959","doi":"https://doi.org/10.1109/icip40778.2020.9191059","mag":"3090912959"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5041197691","display_name":"Takahisa Miyamura","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takahisa Miyamura","raw_affiliation_strings":["Nagoya Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074752282","display_name":"Norishige Fukushima","orcid":"https://orcid.org/0000-0001-8320-6407"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norishige Fukushima","raw_affiliation_strings":["Nagoya Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688282","display_name":"Muhammad Waqas","orcid":"https://orcid.org/0000-0002-5707-7389"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Muhammad Waqas","raw_affiliation_strings":["Nagoya Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075192946","display_name":"Kenjiro Sugimoto","orcid":"https://orcid.org/0009-0005-7957-3411"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenjiro Sugimoto","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066452160","display_name":"Sei\u2010ichiro Kamata","orcid":"https://orcid.org/0000-0002-1496-2417"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sei-ichiro Kamata","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041197691"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62183236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1038","last_page":"1042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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":0.9922999739646912,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6898333430290222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6574493050575256},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6045710444450378},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5818175673484802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5641594529151917},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5399274230003357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5042437314987183},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4897165596485138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42626190185546875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38687315583229065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.360664963722229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26095080375671387}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6898333430290222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6574493050575256},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6045710444450378},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5818175673484802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5641594529151917},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5399274230003357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5042437314987183},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4897165596485138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42626190185546875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38687315583229065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.360664963722229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26095080375671387},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1506080974","https://openalex.org/W1528144695","https://openalex.org/W1960693213","https://openalex.org/W1973250327","https://openalex.org/W1978010612","https://openalex.org/W2008719012","https://openalex.org/W2056215208","https://openalex.org/W2061874589","https://openalex.org/W2063506045","https://openalex.org/W2065533005","https://openalex.org/W2073459066","https://openalex.org/W2082624758","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2123745357","https://openalex.org/W2126043703","https://openalex.org/W2128298440","https://openalex.org/W2141957843","https://openalex.org/W2155490028","https://openalex.org/W2160065436","https://openalex.org/W2162618331","https://openalex.org/W2244684328","https://openalex.org/W2295547943","https://openalex.org/W2512920519","https://openalex.org/W2514709936","https://openalex.org/W2547518618","https://openalex.org/W2576186120","https://openalex.org/W2802101329","https://openalex.org/W2951760975","https://openalex.org/W2964153107","https://openalex.org/W2970950544","https://openalex.org/W2998514558","https://openalex.org/W3090751329","https://openalex.org/W3101990444","https://openalex.org/W3139167831","https://openalex.org/W6664601290","https://openalex.org/W6666379253","https://openalex.org/W6668990524","https://openalex.org/W6678853083"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W2110031805","https://openalex.org/W1997992934","https://openalex.org/W2040020606","https://openalex.org/W1987225439","https://openalex.org/W2978930127","https://openalex.org/W2133373206"],"abstract_inverted_index":{"Bilateral":[0],"filtering":[1,19,32,68],"is":[2,9,20,40,84],"a":[3],"typical":[4],"edge-preserving":[5],"smoothing":[6],"and":[7,80,102,104],"it":[8,48],"used":[10],"in":[11,64],"various":[12],"applications.":[13],"The":[14,36],"main":[15],"issue":[16],"of":[17,56,59,95,108],"bilateral":[18,31,38,67],"the":[21,57,76,109],"processing":[22],"time.":[23],"In":[24,87],"order":[25],"to":[26],"solve":[27],"this":[28,88],"problem,":[29],"constant-time":[30,37,65],"has":[33,78],"been":[34],"proposed.":[35],"filter":[39],"an":[41,92],"effective":[42],"method":[43,94],"for":[44,52,69],"grayscale":[45],"images,":[46],"but":[47],"takes":[49],"high":[50],"cost":[51,82],"color":[53,66,70],"images":[54,71],"because":[55],"curse":[58],"dimensionality.":[60],"Some":[61],"algorithms":[62],"specialize":[63],"by":[72,97],"using":[73,98],"clustering.":[74],"However,":[75],"clustering":[77,96],"randomness,":[79],"computational":[81],"itself":[83],"also":[85,105],"high.":[86],"paper,":[89],"we":[90],"propose":[91],"acceleration":[93],"K-means":[99],"++,":[100],"tiling,":[101],"subsampling,":[103],"achieve":[106],"improvement":[107],"stability.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
