{"id":"https://openalex.org/W2162250120","doi":"https://doi.org/10.1109/cvpr.2005.322","title":"Shock Filters Based on Implicit Cluster Separation","display_name":"Shock Filters Based on Implicit Cluster Separation","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2162250120","doi":"https://doi.org/10.1109/cvpr.2005.322","mag":"2162250120"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2005.322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2005.322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)","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/A5007109424","display_name":"Vinay P. Namboodiri","orcid":"https://orcid.org/0000-0001-5262-9722"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V.P. Namboodiri","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Bombay, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086893989","display_name":"Syomantak Chaudhuri","orcid":"https://orcid.org/0000-0001-7284-8009"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Chaudhuri","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Bombay, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007109424"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.2986,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64189857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9944000244140625,"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":0.9940000176429749,"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/deblurring","display_name":"Deblurring","score":0.8939380645751953},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5901869535446167},{"id":"https://openalex.org/keywords/shock","display_name":"Shock (circulatory)","score":0.5876522064208984},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5405188798904419},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.5233482718467712},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5068829655647278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4994690418243408},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46222034096717834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45290878415107727},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4513565003871918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4431169927120209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4387098252773285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37963035702705383},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35193943977355957},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3483848571777344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3431207537651062},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19287806749343872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12516352534294128},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08487880229949951}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8939380645751953},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5901869535446167},{"id":"https://openalex.org/C2781300812","wikidata":"https://www.wikidata.org/wiki/Q178061","display_name":"Shock (circulatory)","level":2,"score":0.5876522064208984},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5405188798904419},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.5233482718467712},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5068829655647278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4994690418243408},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46222034096717834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45290878415107727},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4513565003871918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4431169927120209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4387098252773285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37963035702705383},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35193943977355957},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3483848571777344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3431207537651062},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19287806749343872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12516352534294128},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08487880229949951},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2005.322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2005.322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)","raw_type":"proceedings-article"},{"id":"pmh:oai:dsapce.library.iitb.ac.in:100/2895","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/xmlui/handle/10054/16402","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conference on Computer Vision and Pattern Recognition,San Diego, CA,JUN 20-25, 2005","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1506219486","https://openalex.org/W1506281249","https://openalex.org/W1568680666","https://openalex.org/W1569775974","https://openalex.org/W1571699948","https://openalex.org/W1751373636","https://openalex.org/W1867833861","https://openalex.org/W1993553289","https://openalex.org/W2022686119","https://openalex.org/W2047625347","https://openalex.org/W2057220024","https://openalex.org/W2067191022","https://openalex.org/W2076624936","https://openalex.org/W2101779589","https://openalex.org/W2108944658","https://openalex.org/W2109863423","https://openalex.org/W2133155955","https://openalex.org/W2138966546","https://openalex.org/W2150134853","https://openalex.org/W2164500538","https://openalex.org/W2165015795","https://openalex.org/W2201752477","https://openalex.org/W2915070741","https://openalex.org/W4231287919","https://openalex.org/W6634170646","https://openalex.org/W6639291768"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"One":[0],"of":[1,22,46,52,62,71,75,89,99],"the":[2,20,44,50,56,69,93,100],"classic":[3],"problems":[4],"in":[5,92],"low":[6],"level":[7],"vision":[8],"is":[9,65,80,102],"image":[10,32],"restoration.":[11],"An":[12],"important":[13],"contribution":[14],"toward":[15],"this":[16,40],"effort":[17],"has":[18],"been":[19],"development":[21],"shock":[23,57,63],"filters":[24],"by":[25],"Osher":[26],"and":[27],"Rudin":[28],"(1990).":[29],"It":[30],"performs":[31],"deblurring":[33],"using":[34],"hyperbolic":[35],"partial":[36],"differential":[37],"equations.":[38],"In":[39],"paper":[41],"we":[42],"relate":[43],"notion":[45],"cluster":[47,94],"separation":[48,74,95],"from":[49],"field":[51],"pattern":[53],"recognition":[54],"to":[55],"filter":[58,64],"formulation.":[59],"A":[60],"kind":[61],"proposed":[66,78],"based":[67,73],"on":[68],"idea":[70],"gradient":[72],"clusters.":[76],"The":[77,97],"formulation":[79],"general":[81],"enough":[82],"as":[83],"it":[84],"can":[85],"allow":[86],"various":[87,105],"models":[88],"density":[90],"functions":[91],"process.":[96],"efficacy":[98],"method":[101],"demonstrated":[103],"through":[104],"examples.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}