{"id":"https://openalex.org/W2064180575","doi":"https://doi.org/10.1109/ncvpripg.2013.6776250","title":"Feature preserving anisotropic diffusion for image restoration","display_name":"Feature preserving anisotropic diffusion for image restoration","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2064180575","doi":"https://doi.org/10.1109/ncvpripg.2013.6776250","mag":"2064180575"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2013.6776250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2013.6776250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017246903","display_name":"V. B. Surya Prasath","orcid":"https://orcid.org/0000-0001-7163-7453"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. B. Surya Prasath","raw_affiliation_strings":["University of Missouri, Columbia, MO, US","Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, MO, US","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108472196","display_name":"Juan Carlos Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Juan C. Moreno","raw_affiliation_strings":["Department of Computer Science, University of Beira Interior, Covilh\u00e3, Portugal","Dept. of Comput. Sci., Univ. of Beira Interior, Covilha\u0308, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Beira Interior, Covilh\u00e3, Portugal","institution_ids":["https://openalex.org/I161321875"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Beira Interior, Covilha\u0308, Portugal","institution_ids":["https://openalex.org/I161321875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0394,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80276865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9986000061035156,"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/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.8322367668151855},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.711022138595581},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6112630367279053},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.581408679485321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5302566885948181},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49009525775909424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460472047328949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45860227942466736},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.4387549161911011},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.416690468788147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.413576602935791},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31535473465919495},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1688489317893982},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15988418459892273}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.8322367668151855},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.711022138595581},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6112630367279053},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.581408679485321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5302566885948181},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49009525775909424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460472047328949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45860227942466736},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.4387549161911011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.416690468788147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.413576602935791},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31535473465919495},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1688489317893982},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15988418459892273},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/ncvpripg.2013.6776250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2013.6776250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4000000059604645,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W40037269","https://openalex.org/W1480546554","https://openalex.org/W1496099826","https://openalex.org/W1614049993","https://openalex.org/W1963743024","https://openalex.org/W2047625347","https://openalex.org/W2055187980","https://openalex.org/W2103559027","https://openalex.org/W2133665775","https://openalex.org/W2150134853","https://openalex.org/W2164822588"],"related_works":["https://openalex.org/W3044651058","https://openalex.org/W3152929143","https://openalex.org/W2132132164","https://openalex.org/W2130228941","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W2382607599","https://openalex.org/W3197541072","https://openalex.org/W2080322084","https://openalex.org/W1533292911"],"abstract_inverted_index":{"Anisotropic":[0],"diffusion":[1,43],"based":[2,21,49,70],"schemes":[3],"are":[4,77],"widely":[5],"used":[6,19],"in":[7,90,95],"image":[8,24],"smoothing":[9,100],"and":[10],"noise":[11],"removal.":[12],"Typically,":[13],"the":[14,31,36,58,68,81,96,102],"partial":[15],"differential":[16],"equation":[17],"(PDE)":[18],"is":[20],"on":[22,115],"computing":[23],"gradients":[25],"or":[26],"isotropically":[27],"smoothed":[28],"version":[29],"of":[30,39,61,101],"gradient":[32],"image.":[33],"To":[34],"improve":[35],"denoising":[37],"capability":[38],"such":[40,107],"nonlinear":[41],"anisotropic":[42],"schemes,":[44],"we":[45],"introduce":[46],"a":[47,53],"multi-direction":[48],"discretization":[50,87],"along":[51],"with":[52,80],"selection":[54],"strategy":[55,66],"for":[56],"choosing":[57],"best":[59],"direction":[60],"possible":[62],"edge":[63],"pixels.":[64],"This":[65],"avoids":[67],"directionality":[69],"bias":[71],"which":[72],"can":[73],"over-smooth":[74],"features":[75,93],"that":[76],"not":[78],"aligned":[79],"coordinate":[82],"axis.":[83],"The":[84],"proposed":[85],"hybrid":[86],"scheme":[88],"helps":[89],"preserving":[91],"multi-scale":[92],"present":[94],"images":[97],"via":[98],"selective":[99],"PDE.":[103],"Experimental":[104],"results":[105,114],"indicate":[106],"an":[108],"adaptive":[109],"modification":[110],"provides":[111],"improved":[112],"restoration":[113],"noisy":[116],"images.":[117]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
