{"id":"https://openalex.org/W2890193455","doi":"https://doi.org/10.1109/icip.2018.8451762","title":"Image Filtering with Advectors","display_name":"Image Filtering with Advectors","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890193455","doi":"https://doi.org/10.1109/icip.2018.8451762","mag":"2890193455"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01890757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023602346","display_name":"Vincent Jaouen","orcid":"https://orcid.org/0000-0003-4498-5713"},"institutions":[{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Jaouen","raw_affiliation_strings":["LaTIM, UBL, Brest, France","LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LaTIM, UBL, Brest, France","institution_ids":["https://openalex.org/I4210161065"]},{"raw_affiliation_string":"LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)","institution_ids":["https://openalex.org/I4210161065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000146212","display_name":"Laurent Gaubert","orcid":"https://orcid.org/0000-0001-6808-2645"},"institutions":[{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Gaubert","raw_affiliation_strings":["LaTIM, UBL, Brest, France","LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LaTIM, UBL, Brest, France","institution_ids":["https://openalex.org/I4210161065"]},{"raw_affiliation_string":"LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)","institution_ids":["https://openalex.org/I4210161065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105822185","display_name":"Julien Bert","orcid":"https://orcid.org/0000-0002-2756-942X"},"institutions":[{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Bert","raw_affiliation_strings":["LaTIM, UBL, Brest, France","LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LaTIM, UBL, Brest, France","institution_ids":["https://openalex.org/I4210161065"]},{"raw_affiliation_string":"LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)","institution_ids":["https://openalex.org/I4210161065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044303463","display_name":"Mathieu Hatt","orcid":"https://orcid.org/0000-0002-8938-8667"},"institutions":[{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathieu Hatt","raw_affiliation_strings":["LaTIM, UBL, Brest, France","LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LaTIM, UBL, Brest, France","institution_ids":["https://openalex.org/I4210161065"]},{"raw_affiliation_string":"LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)","institution_ids":["https://openalex.org/I4210161065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017138072","display_name":"Dimitris Visvikis","orcid":"https://orcid.org/0000-0003-0831-3637"},"institutions":[{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dimitris Visvikis","raw_affiliation_strings":["LaTIM, UBL, Brest, France","LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LaTIM, UBL, Brest, France","institution_ids":["https://openalex.org/I4210161065"]},{"raw_affiliation_string":"LaTIM - Laboratoire de Traitement de l'Information Medicale (CHRU Morvan, B\u00e2timent 1, 1er \u00e9tage, bureau 1056, 2 avenue Foch, 29609 Brest, France - France)","institution_ids":["https://openalex.org/I4210161065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210161065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0945358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1513","last_page":"1517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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":0.993399977684021,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9916999936103821,"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/sharpening","display_name":"Sharpening","score":0.8281130194664001},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.7235018014907837},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5857242345809937},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5190321207046509},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.5120554566383362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5116941928863525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.462327241897583},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46113383769989014},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4481116235256195},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4465838074684143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4382634460926056},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4183807969093323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38579627871513367},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.346416711807251},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32815003395080566},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23914694786071777},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1603139042854309},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08723318576812744}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8281130194664001},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.7235018014907837},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5857242345809937},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5190321207046509},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.5120554566383362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5116941928863525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.462327241897583},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46113383769989014},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4481116235256195},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4465838074684143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4382634460926056},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4183807969093323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38579627871513367},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.346416711807251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32815003395080566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23914694786071777},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1603139042854309},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08723318576812744},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2018.8451762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01890757v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01890757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, France. &#x27E8;10.1109/ICIP.2018.8451762&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01890757v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01890757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, France. &#x27E8;10.1109/ICIP.2018.8451762&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1480546554","https://openalex.org/W1947067526","https://openalex.org/W1967165008","https://openalex.org/W1976962685","https://openalex.org/W1982348168","https://openalex.org/W1997147589","https://openalex.org/W2022735534","https://openalex.org/W2026019078","https://openalex.org/W2038212344","https://openalex.org/W2041625018","https://openalex.org/W2047625347","https://openalex.org/W2056370875","https://openalex.org/W2095605554","https://openalex.org/W2099244020","https://openalex.org/W2103035876","https://openalex.org/W2109863423","https://openalex.org/W2131294354","https://openalex.org/W2136396015","https://openalex.org/W2142722911","https://openalex.org/W2143023881","https://openalex.org/W2145803225","https://openalex.org/W2150134853","https://openalex.org/W2159356186","https://openalex.org/W2160547390","https://openalex.org/W2462006799","https://openalex.org/W2508457857","https://openalex.org/W2556028656","https://openalex.org/W2571662414","https://openalex.org/W2754836122","https://openalex.org/W4239814494","https://openalex.org/W6664401941","https://openalex.org/W6675514986","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2087564795","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W4386159743","https://openalex.org/W2136313643","https://openalex.org/W3136545447","https://openalex.org/W3107835849"],"abstract_inverted_index":{"We":[0],"propose":[1],"to":[2,51,77],"consider":[3],"linear":[4],"and":[5,81,92],"nonlinear":[6],"image":[7,17,64],"diffusion":[8,24,86],"processes":[9],"as":[10,27],"the":[11,14,28,45],"result":[12],"of":[13,16,31,35,47,73,85,104],"transport":[15,30],"values":[18],"in":[19,33],"external":[20],"advection":[21],"fields.":[22],"Linear":[23],"is":[25,41],"seen":[26],"continuous":[29],"particles":[32],"fields":[34,49,62],"random":[36,79],"orientations,":[37],"while":[38],"non-linear":[39],"behavior":[40],"obtained":[42],"by":[43,60],"modulating":[44],"magnitude":[46],"these":[48],"according":[50],"local":[52],"edge":[53],"strength.":[54],"Edge":[55],"sharpening":[56],"can":[57,97],"be":[58,98],"achieved":[59],"biasing":[61],"towards":[63],"edges":[65],"using":[66,100],"e.g.":[67],"Gradient":[68],"Vector":[69],"Flow.":[70],"This":[71],"point":[72],"view,":[74],"closely":[75],"related":[76],"discrete":[78],"walks":[80],"other":[82],"stochastic":[83],"interpretations":[84],"processes,":[87],"allows":[88],"for":[89],"simple,":[90],"stable":[91],"surprisingly":[93],"efficient":[94],"filters":[95],"that":[96],"implemented":[99],"a":[101],"few":[102],"lines":[103],"code":[105],"only.":[106]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
