{"id":"https://openalex.org/W2794686168","doi":"https://doi.org/10.1109/tip.2018.2820427","title":"Improved Bilateral Texture Filtering With Edge-Aware Measurement","display_name":"Improved Bilateral Texture Filtering With Edge-Aware Measurement","publication_year":2018,"publication_date":"2018-03-28","ids":{"openalex":"https://openalex.org/W2794686168","doi":"https://doi.org/10.1109/tip.2018.2820427","mag":"2794686168","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993979"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2820427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2820427","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/A5101562074","display_name":"Panpan Xu","orcid":"https://orcid.org/0000-0002-1957-6363"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Panpan Xu","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603825","display_name":"Wencheng Wang","orcid":"https://orcid.org/0000-0001-5094-4606"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencheng Wang","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101562074"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.7758,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88983453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":"7","first_page":"3621","last_page":"3630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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":0.9930999875068665,"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/texture-filtering","display_name":"Texture filtering","score":0.8566268682479858},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.7542276382446289},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6798968315124512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5812682509422302},{"id":"https://openalex.org/keywords/bidirectional-texture-function","display_name":"Bidirectional texture function","score":0.5800142884254456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762965679168701},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.547457218170166},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5372175574302673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258194208145142},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49653345346450806},{"id":"https://openalex.org/keywords/projective-texture-mapping","display_name":"Projective texture mapping","score":0.4814828634262085},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43543165922164917},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4142100512981415},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22535517811775208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18776211142539978}],"concepts":[{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.8566268682479858},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.7542276382446289},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6798968315124512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5812682509422302},{"id":"https://openalex.org/C165164221","wikidata":"https://www.wikidata.org/wiki/Q261078","display_name":"Bidirectional texture function","level":5,"score":0.5800142884254456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762965679168701},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.547457218170166},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5372175574302673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258194208145142},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49653345346450806},{"id":"https://openalex.org/C78289832","wikidata":"https://www.wikidata.org/wiki/Q7249473","display_name":"Projective texture mapping","level":5,"score":0.4814828634262085},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43543165922164917},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4142100512981415},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22535517811775208},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18776211142539978},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2820427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2820427","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:29993979","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993979","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":[],"awards":[{"id":"https://openalex.org/G4446248933","display_name":null,"funder_award_id":"61379087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7289426049","display_name":null,"funder_award_id":"61661146002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W168460524","https://openalex.org/W1491024554","https://openalex.org/W1521461170","https://openalex.org/W1873172440","https://openalex.org/W1878947057","https://openalex.org/W1966786995","https://openalex.org/W1979369422","https://openalex.org/W2009266262","https://openalex.org/W2033250440","https://openalex.org/W2040334833","https://openalex.org/W2044465660","https://openalex.org/W2056370875","https://openalex.org/W2057203222","https://openalex.org/W2061052400","https://openalex.org/W2078718577","https://openalex.org/W2080794127","https://openalex.org/W2083609718","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2109075629","https://openalex.org/W2112208104","https://openalex.org/W2123407276","https://openalex.org/W2125188192","https://openalex.org/W2137901785","https://openalex.org/W2141957843","https://openalex.org/W2146052399","https://openalex.org/W2149521538","https://openalex.org/W2149857113","https://openalex.org/W2150134853","https://openalex.org/W2152566918","https://openalex.org/W2156155065","https://openalex.org/W2156706485","https://openalex.org/W2165015795","https://openalex.org/W2231495490","https://openalex.org/W2473431653","https://openalex.org/W2542965071","https://openalex.org/W2543602449","https://openalex.org/W2556872594","https://openalex.org/W2996868574","https://openalex.org/W3011612142","https://openalex.org/W3143639344","https://openalex.org/W6629312308","https://openalex.org/W6639138679"],"related_works":["https://openalex.org/W2003873690","https://openalex.org/W2154859065","https://openalex.org/W2165772202","https://openalex.org/W2359713774","https://openalex.org/W1590543164","https://openalex.org/W2743128629","https://openalex.org/W2035842265","https://openalex.org/W1983661653","https://openalex.org/W4210267115","https://openalex.org/W2106557809"],"abstract_inverted_index":{"Texture":[0],"filtering":[1,69,152,178],"depends":[2],"on":[3],"high-quality":[4],"texture":[5,21,27,48,83,110,123,142,151,161,177],"measurement":[6,33,73,162],"to":[7,42,108,125,163],"separate":[8],"structures":[9,95],"from":[10],"textures.":[11],"However,":[12],"the":[13,32,43,46,54,62,126,131,141],"existing":[14,47,184],"methods":[15],"employ":[16],"axis-aligned":[17],"box":[18,148],"windows":[19,113,149,159],"for":[20,61,82,139,150,160],"measurement,":[22],"which":[23],"may":[24],"cover":[25],"different":[26],"regions,":[28],"and":[29,57,130,153,155],"so":[30],"lowering":[31],"quality":[34],"because":[35],"structure":[36,66,135],"edges":[37,67,136],"are":[38,87,96,114,137],"not":[39,59,88],"always":[40],"parallel":[41],"axes.":[44],"Additionally,":[45],"measurements":[49],"consider":[50],"intensity":[51],"contrast":[52],"at":[53],"pixel":[55],"level":[56],"do":[58],"account":[60],"linear":[63,132],"characteristics":[64,133],"of":[65,134],"in":[68,79,140],"windows;":[70],"thus,":[71],"their":[72],"effectiveness":[74],"is":[75,120],"limited.":[76],"This":[77],"results":[78,174],"a":[80,122],"dilemma":[81],"filtering.":[84],"Large-scale":[85],"textures":[86,167],"smoothed":[89],"using":[90,98],"smaller":[91],"windows,":[92],"while":[93,168],"small":[94,158,170],"removed":[97],"larger":[99],"windows.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104,145],"present":[105],"edge-aware":[106,157],"measures":[107],"improve":[109],"measurement.":[111,143],"Edge-aware":[112],"constructed":[115],"such":[116],"that":[117],"each":[118],"window":[119],"inside":[121],"region":[124],"greatest":[127],"extent":[128],"possible,":[129],"accounted":[138],"Furthermore,":[144],"use":[146],"large":[147],"long":[154],"narrow":[156],"filter":[164],"out":[165],"large-scale":[166],"preserving":[169],"structures.":[171],"The":[172],"experimental":[173],"show":[175],"improved":[176],"with":[179,183],"our":[180],"method":[181],"compared":[182],"methods.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}