{"id":"https://openalex.org/W4214583673","doi":"https://doi.org/10.1145/3488933.3488976","title":"Anisotropic Gaussian Side Windows Guided Filtering","display_name":"Anisotropic Gaussian Side Windows Guided Filtering","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214583673","doi":"https://doi.org/10.1145/3488933.3488976"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3488976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488976","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5101896460","display_name":"Fuping Wang","orcid":"https://orcid.org/0000-0003-0009-9138"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuping Wang","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027954853","display_name":"Congcong Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong Ji","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101896460"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40480991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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/gaussian-blur","display_name":"Gaussian blur","score":0.8016425371170044},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7014840841293335},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6819251775741577},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6564072966575623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048293709754944},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.5846452116966248},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5755190253257751},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.544093906879425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391192436218262},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.514209508895874},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.48362746834754944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4764802157878876},{"id":"https://openalex.org/keywords/halo","display_name":"Halo","score":0.4707489609718323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4650036096572876},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43380624055862427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.302146315574646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2944849729537964},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26930177211761475},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.24434912204742432},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19120097160339355},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11855769157409668}],"concepts":[{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.8016425371170044},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7014840841293335},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6819251775741577},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6564072966575623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048293709754944},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.5846452116966248},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5755190253257751},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.544093906879425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391192436218262},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.514209508895874},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.48362746834754944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4764802157878876},{"id":"https://openalex.org/C184665706","wikidata":"https://www.wikidata.org/wiki/Q186310","display_name":"Halo","level":3,"score":0.4707489609718323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4650036096572876},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43380624055862427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.302146315574646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2944849729537964},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26930177211761475},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.24434912204742432},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19120097160339355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11855769157409668},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3488976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3488976","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1529155083","https://openalex.org/W1549104989","https://openalex.org/W1995031544","https://openalex.org/W2078718577","https://openalex.org/W2109075629","https://openalex.org/W2125188192","https://openalex.org/W2160451035","https://openalex.org/W2263237637","https://openalex.org/W2291143146","https://openalex.org/W2759207936","https://openalex.org/W2767832224","https://openalex.org/W2796426886","https://openalex.org/W2808785644","https://openalex.org/W2911523337","https://openalex.org/W2963582088","https://openalex.org/W2996868574","https://openalex.org/W3013317286","https://openalex.org/W3036193428","https://openalex.org/W4200399832","https://openalex.org/W4255455561","https://openalex.org/W6649200827"],"related_works":["https://openalex.org/W2083726675","https://openalex.org/W4220715471","https://openalex.org/W4297891612","https://openalex.org/W2369676483","https://openalex.org/W2945089857","https://openalex.org/W1606093250","https://openalex.org/W2540576226","https://openalex.org/W4399753830","https://openalex.org/W2102175028","https://openalex.org/W2015452127"],"abstract_inverted_index":{"The":[0,79,99,117,135],"guided":[1,95],"filtering":[2,96,119],"and":[3,30,69,83,132,142,151],"its":[4],"different":[5,85],"variants":[6],"have":[7],"good":[8],"edge":[9,67,141,149],"preserving":[10],"characteristics,":[11],"widely":[12],"used":[13],"in":[14,88],"many":[15],"computer":[16],"vision":[17],"applications":[18],"such":[19,128],"as":[20,129],"Matting,":[21],"Dhaze,":[22],"but":[23],"halos":[24],"still":[25],"appear":[26],"near":[27],"the":[28,89,111,148,155,162],"edges":[29],"it":[31],"is":[32,158],"difficult":[33],"to":[34,65,91,124],"identify":[35],"high-resolution":[36],"edges.":[37,116],"Therefore,":[38],"we":[39],"propose":[40],"an":[41],"Anisotropic":[42,58],"Gaussian":[43,102],"Side":[44],"Window":[45],"Guided":[46],"Filtering":[47],"(ANGKSWGF).":[48],"This":[49],"method":[50],"has":[51],"three":[52],"advantages:":[53],"(1)":[54],"We":[55,73],"efficiently":[56],"combine":[57],"Gaussian-shaped":[59,76],"Kernel":[60],"with":[61,104],"side":[62],"window":[63,90],"technology":[64],"suppress":[66],"blur":[68],"halo":[70],"effects;":[71],"(2)":[72],"use":[74],"anisotropic":[75,101],"kernel":[77,103],"weights":[78,82],"factor":[80],"effectively":[81,109],"fuses":[84],"pixel":[86],"information":[87],"produce":[92],"more":[93],"accurate":[94],"results;":[97],"(3)":[98],"multi-directional":[100],"large-scale":[105],"shape":[106],"parameters":[107],"can":[108,121],"improve":[110],"enhancement":[112,153],"effect":[113],"of":[114,154],"fine":[115],"proposed":[118,156],"algorithm":[120,157],"be":[122],"applied":[123],"image":[125,130],"processing":[126],"applications,":[127],"smoothing":[131],"detail":[133,152],"enhancement.":[134],"experimental":[136],"results":[137],"on":[138],"synthetic":[139],"ideal":[140],"actual":[143],"natural":[144],"images":[145],"show":[146],"that":[147],"preservation":[150],"significantly":[159],"better":[160],"than":[161],"other":[163],"algorithms.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}