{"id":"https://openalex.org/W2152707441","doi":"https://doi.org/10.1109/tip.2009.2036673","title":"Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates","display_name":"Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates","publication_year":2009,"publication_date":"2009-11-30","ids":{"openalex":"https://openalex.org/W2152707441","doi":"https://doi.org/10.1109/tip.2009.2036673","mag":"2152707441","pmid":"https://pubmed.ncbi.nlm.nih.gov/19933005"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2036673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2036673","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044414277","display_name":"Andrey Vlasenko","orcid":"https://orcid.org/0000-0002-2680-327X"},"institutions":[{"id":"https://openalex.org/I4210101332","display_name":"Group Image (Poland)","ror":"https://ror.org/01fba6t94","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210101332"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE","PL"],"is_corresponding":true,"raw_author_name":"A. Vlasenko","raw_affiliation_strings":["University of Heidelberg, Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), and the Heidelberg Collaboratory for Image Processing (HCI), Germany. vlasenko@math.uni-heidelberg.de","Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), Heidelberg Collaboratory of Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Heidelberg, Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), and the Heidelberg Collaboratory for Image Processing (HCI), Germany. vlasenko@math.uni-heidelberg.de","institution_ids":["https://openalex.org/I4210101332","https://openalex.org/I223822909"]},{"raw_affiliation_string":"Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), Heidelberg Collaboratory of Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088815590","display_name":"Christoph Schn\u00f6rr","orcid":"https://orcid.org/0000-0002-8999-2338"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Schnorr","raw_affiliation_strings":["Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), Heidelberg Collaboratory of Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Department Mathematics and Computer Science, Image and Pattern Analysis Group (IPA), Heidelberg Collaboratory of Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044414277"],"corresponding_institution_ids":["https://openalex.org/I223822909","https://openalex.org/I4210101332"],"apc_list":null,"apc_paid":null,"fwci":1.9414,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88346748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":"3","first_page":"586","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9948999881744385,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.64146488904953},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5814648270606995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665979981422424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5378531217575073},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5258898138999939},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.509978175163269},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4674072563648224},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42725250124931335},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.4189288020133972},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3857235014438629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3368741273880005},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3310483694076538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2938728928565979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1312311291694641}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.64146488904953},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5814648270606995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665979981422424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5378531217575073},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5258898138999939},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.509978175163269},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4674072563648224},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42725250124931335},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.4189288020133972},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3857235014438629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3368741273880005},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3310483694076538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2938728928565979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1312311291694641},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2009.2036673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2036673","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:19933005","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19933005","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320881","display_name":"Universit\u00e4t Heidelberg","ror":"https://ror.org/038t36y30"},{"id":"https://openalex.org/F4320324159","display_name":"Universit\u00e4t Mannheim","ror":"https://ror.org/031bsb921"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1485041492","https://openalex.org/W1534580298","https://openalex.org/W1551243428","https://openalex.org/W1671242952","https://openalex.org/W1852082788","https://openalex.org/W1965676217","https://openalex.org/W1972679781","https://openalex.org/W1987508246","https://openalex.org/W2005067064","https://openalex.org/W2005089986","https://openalex.org/W2020868666","https://openalex.org/W2038409881","https://openalex.org/W2068876583","https://openalex.org/W2089769888","https://openalex.org/W2092859474","https://openalex.org/W2103559027","https://openalex.org/W2132732944","https://openalex.org/W2136738426","https://openalex.org/W2140843241","https://openalex.org/W2144275666","https://openalex.org/W2146813734","https://openalex.org/W2152707441","https://openalex.org/W2388052563","https://openalex.org/W3042562017","https://openalex.org/W3047299981","https://openalex.org/W3149667697","https://openalex.org/W4235494105"],"related_works":["https://openalex.org/W2357967280","https://openalex.org/W3108403339","https://openalex.org/W383418545","https://openalex.org/W2023005931","https://openalex.org/W2162712524","https://openalex.org/W3217391977","https://openalex.org/W2131221812","https://openalex.org/W2289944896","https://openalex.org/W1981647303","https://openalex.org/W2152707441"],"abstract_inverted_index":{"Imaging":[0],"plays":[1],"an":[2,53],"important":[3,12],"role":[4],"in":[5,79],"experimental":[6],"fluid":[7,93],"dynamics.":[8],"It":[9,23],"is":[10,24,126],"equally":[11],"both":[13],"for":[14,43,115],"scientific":[15],"research":[16],"and":[17,68,75,95,113,120],"a":[18,57,80,106],"range":[19],"of":[20,31,38,60,91,103,118],"industrial":[21],"applications.":[22],"known,":[25],"however,":[26],"that":[27,45,55],"estimated":[28],"velocity":[29],"fields":[30,64],"fluids":[32],"often":[33],"suffer":[34],"from":[35],"various":[36],"types":[37,117],"corruptions":[39],"like":[40],"missing":[41,72],"data,":[42],"instance,":[44],"make":[46],"their":[47],"physical":[48,89],"interpretation":[49],"questionable.":[50],"We":[51],"present":[52],"algorithm":[54,110,125],"accepts":[56],"wide":[58],"variety":[59],"corrupted":[61],"2-D":[62],"vector":[63],"as":[65],"input":[66],"data":[67,73],"allows":[69],"to":[70,76,129,132],"recover":[71],"fragments":[74],"remove":[77],"noise":[78,119],"physically":[81],"plausible":[82],"way.":[83],"Our":[84],"approach":[85],"essentially":[86],"exploits":[87],"the":[88,108],"properties":[90],"incompressible":[92],"flows":[94],"does":[96],"not":[97],"rely":[98],"upon":[99],"any":[100],"particular":[101],"model":[102],"noise.":[104],"As":[105],"result,":[107],"developed":[109],"performs":[111],"well":[112],"robust":[114],"different":[116],"estimation":[121],"errors.":[122],"The":[123],"computational":[124],"sufficiently":[127],"simple":[128],"scale":[130],"up":[131],"large":[133],"3-D":[134],"problems.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}