{"id":"https://openalex.org/W2816653114","doi":"https://doi.org/10.1109/tip.2018.2852741","title":"Adaptive Curvature-Guided Image Filtering for Structure + Texture Image Decomposition","display_name":"Adaptive Curvature-Guided Image Filtering for Structure + Texture Image Decomposition","publication_year":2018,"publication_date":"2018-07-04","ids":{"openalex":"https://openalex.org/W2816653114","doi":"https://doi.org/10.1109/tip.2018.2852741","mag":"2816653114","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994398"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2852741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2852741","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/A5101941729","display_name":"Alexander Belyaev","orcid":"https://orcid.org/0000-0002-7043-8847"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Belyaev","raw_affiliation_strings":["Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7043-8847","affiliations":[{"raw_affiliation_string":"Institute of Sensors, Signals and Systems, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051213439","display_name":"Pierre\u2010Alain Fayolle","orcid":"https://orcid.org/0000-0003-4723-6208"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pierre-Alain Fayolle","raw_affiliation_strings":["Computer Graphics Laboratory, The University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Graphics Laboratory, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.166,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.83832784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"27","issue":"10","first_page":"5192","last_page":"5203"},"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/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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.8307644128799438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586024820804596},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5691783428192139},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5595241785049438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.547088623046875},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5460233688354492},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5447517037391663},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5195049047470093},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5034334063529968},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.4906140863895416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48054081201553345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46661558747291565},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.41901031136512756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37684035301208496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35435324907302856},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05103430151939392}],"concepts":[{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.8307644128799438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586024820804596},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5691783428192139},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5595241785049438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.547088623046875},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5460233688354492},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5447517037391663},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5195049047470093},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5034334063529968},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.4906140863895416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48054081201553345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46661558747291565},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.41901031136512756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37684035301208496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35435324907302856},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05103430151939392}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2852741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2852741","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:29994398","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994398","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W40037269","https://openalex.org/W192531571","https://openalex.org/W207373900","https://openalex.org/W249211751","https://openalex.org/W417781317","https://openalex.org/W787938537","https://openalex.org/W1483822002","https://openalex.org/W1523985187","https://openalex.org/W1837894622","https://openalex.org/W1918250297","https://openalex.org/W1964100169","https://openalex.org/W1965366508","https://openalex.org/W1972568768","https://openalex.org/W1981337995","https://openalex.org/W1995589954","https://openalex.org/W1999905919","https://openalex.org/W2004066017","https://openalex.org/W2004346156","https://openalex.org/W2007683294","https://openalex.org/W2011181254","https://openalex.org/W2029684123","https://openalex.org/W2040334833","https://openalex.org/W2040378863","https://openalex.org/W2049984505","https://openalex.org/W2057203222","https://openalex.org/W2066630786","https://openalex.org/W2078718577","https://openalex.org/W2079557531","https://openalex.org/W2092243497","https://openalex.org/W2103559027","https://openalex.org/W2109075629","https://openalex.org/W2111854674","https://openalex.org/W2112413732","https://openalex.org/W2115073229","https://openalex.org/W2121651107","https://openalex.org/W2122950831","https://openalex.org/W2125658625","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2141957843","https://openalex.org/W2159152281","https://openalex.org/W2165932233","https://openalex.org/W2169899245","https://openalex.org/W2231495490","https://openalex.org/W2277078106","https://openalex.org/W2291143146","https://openalex.org/W2416874002","https://openalex.org/W2546703031","https://openalex.org/W2564520718","https://openalex.org/W2565215796","https://openalex.org/W2568089607","https://openalex.org/W2569134578","https://openalex.org/W2613955579","https://openalex.org/W2621317949","https://openalex.org/W2949731868","https://openalex.org/W2963368219","https://openalex.org/W2996868574","https://openalex.org/W3106451119","https://openalex.org/W4231001225","https://openalex.org/W4235713725","https://openalex.org/W4245922824","https://openalex.org/W4247811648","https://openalex.org/W4254546220","https://openalex.org/W6677243718","https://openalex.org/W6731412415"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2536960135"],"abstract_inverted_index":{"A":[0],"preliminary":[1],"structure":[2,29,40,110],"+":[3,41,111],"texture":[4,31,42,72,112],"image":[5,15,32,43,66,92,113],"decomposition":[6,44],"is":[7,46,84,100],"very":[8],"useful":[9],"for":[10,26],"a":[11,37,58,68,76],"number":[12],"of":[13,51,63,89,106],"digital":[14],"processing":[16,27],"tasks,":[17],"as":[18,67],"different":[19],"strategies":[20],"are":[21,117],"supposed":[22],"to":[23],"be":[24],"employed":[25],"the":[28,52,64,81,87,90,98,103,107],"and":[30],"components.":[33],"In":[34],"this":[35],"paper,":[36],"new":[38],"variational":[39],"method":[45,99],"developed.":[47],"The":[48],"main":[49],"ingredients":[50],"proposed":[53],"approach":[54],"are:":[55],"(1)":[56],"using":[57],"low-pass":[59],"filtered":[60],"level-set":[61],"curvature":[62],"input":[65],"guidance":[69],"image;":[70],"(2)":[71],"suppressing":[73],"by":[74],"minimizing":[75],"variable":[77,82],"exponent":[78,83],"energy,":[79],"where":[80],"learned":[85],"from":[86],"result":[88],"curvature-guided":[91],"filtering.":[93],"Numerical":[94],"experiments":[95],"demonstrate":[96],"that":[97],"competitive":[101],"with":[102],"current":[104],"state":[105],"art":[108],"in":[109],"decomposition.":[114],"Several":[115],"applications":[116],"considered.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}