{"id":"https://openalex.org/W3081880182","doi":"https://doi.org/10.1007/s11042-020-09550-w","title":"On the application of the reachability distance in the suppression of mixed Gaussian and impulsive noise in color images","display_name":"On the application of the reachability distance in the suppression of mixed Gaussian and impulsive noise in color images","publication_year":2020,"publication_date":"2020-08-29","ids":{"openalex":"https://openalex.org/W3081880182","doi":"https://doi.org/10.1007/s11042-020-09550-w","mag":"3081880182"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-020-09550-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09550-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09550-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09550-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064459980","display_name":"Bogdan Smo\u0142ka","orcid":"https://orcid.org/0000-0003-1883-3580"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bogdan Smolka","raw_affiliation_strings":["Faculty of Automatics, Electronics and Computer Science Akademicka 16, Silesian University of Technology, 44-100, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Automatics, Electronics and Computer Science Akademicka 16, Silesian University of Technology, 44-100, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060440962","display_name":"Damian Kusnik","orcid":"https://orcid.org/0000-0002-6282-7594"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Damian Kusnik","raw_affiliation_strings":["Faculty of Automatics, Electronics and Computer Science Akademicka 16, Silesian University of Technology, 44-100, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Automatics, Electronics and Computer Science Akademicka 16, Silesian University of Technology, 44-100, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064459980"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.61741278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"79","issue":"43-44","first_page":"32857","last_page":"32879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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":0.9972000122070312,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9966999888420105,"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/pixel","display_name":"Pixel","score":0.7505673766136169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420100569725037},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6366792321205139},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6314203143119812},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.608211874961853},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5822693109512329},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5686144232749939},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5408265590667725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.534856915473938},{"id":"https://openalex.org/keywords/reachability","display_name":"Reachability","score":0.5175511240959167},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5101373791694641},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4785747826099396},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47403955459594727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45391160249710083},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45056217908859253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44387397170066833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40907809138298035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30160748958587646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25693780183792114},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25020721554756165}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7505673766136169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420100569725037},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6366792321205139},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6314203143119812},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.608211874961853},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5822693109512329},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5686144232749939},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5408265590667725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.534856915473938},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.5175511240959167},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5101373791694641},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4785747826099396},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47403955459594727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45391160249710083},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45056217908859253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44387397170066833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40907809138298035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30160748958587646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25693780183792114},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25020721554756165},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-020-09550-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09550-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09550-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-020-09550-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09550-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09550-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7780360643","display_name":null,"funder_award_id":"2017/25/B/ST6/02219","funder_id":"https://openalex.org/F4320322650","funder_display_name":"Narodowym Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322650","display_name":"Narodowym Centrum Nauki","ror":"https://ror.org/03ha2q922"},{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081880182.pdf","grobid_xml":"https://content.openalex.org/works/W3081880182.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1517606245","https://openalex.org/W1530232915","https://openalex.org/W1669246975","https://openalex.org/W1781289476","https://openalex.org/W1878994352","https://openalex.org/W1953966876","https://openalex.org/W1964348858","https://openalex.org/W1974582493","https://openalex.org/W1995260082","https://openalex.org/W2000935578","https://openalex.org/W2003884262","https://openalex.org/W2013077522","https://openalex.org/W2014335484","https://openalex.org/W2016732018","https://openalex.org/W2027656446","https://openalex.org/W2039277711","https://openalex.org/W2049459521","https://openalex.org/W2052371774","https://openalex.org/W2053062869","https://openalex.org/W2053610583","https://openalex.org/W2067191022","https://openalex.org/W2075949491","https://openalex.org/W2085866770","https://openalex.org/W2086790182","https://openalex.org/W2094903560","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2100846049","https://openalex.org/W2103488967","https://openalex.org/W2109239774","https://openalex.org/W2111146997","https://openalex.org/W2118538967","https://openalex.org/W2120405331","https://openalex.org/W2122698737","https://openalex.org/W2127737501","https://openalex.org/W2132755599","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2136411463","https://openalex.org/W2144182447","https://openalex.org/W2146279621","https://openalex.org/W2148054108","https://openalex.org/W2150134853","https://openalex.org/W2152059677","https://openalex.org/W2156600062","https://openalex.org/W2160817147","https://openalex.org/W2162098863","https://openalex.org/W2162302279","https://openalex.org/W2162587881","https://openalex.org/W2163548871","https://openalex.org/W2169467627","https://openalex.org/W2207575125","https://openalex.org/W2250154648","https://openalex.org/W2313187684","https://openalex.org/W2334911726","https://openalex.org/W2346872478","https://openalex.org/W2463830379","https://openalex.org/W2481479921","https://openalex.org/W2759784669","https://openalex.org/W2767579567","https://openalex.org/W2792087520","https://openalex.org/W2896461726","https://openalex.org/W2944919493","https://openalex.org/W3021096641","https://openalex.org/W3101250886","https://openalex.org/W3143935008","https://openalex.org/W4231810178","https://openalex.org/W4237100405","https://openalex.org/W4250239515","https://openalex.org/W4254182148","https://openalex.org/W4285719527","https://openalex.org/W4300710699"],"related_works":["https://openalex.org/W2364780020","https://openalex.org/W2364070087","https://openalex.org/W2351699817","https://openalex.org/W2380577081","https://openalex.org/W2053397997","https://openalex.org/W2073083461","https://openalex.org/W3009218516","https://openalex.org/W2959213545","https://openalex.org/W1969928481","https://openalex.org/W2565116285"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"we":[4,64,176],"address":[5],"the":[6,35,41,45,48,54,58,66,72,75,80,98,103,107,120,134,155,167,172,182,188],"problem":[7],"of":[8,30,40,47,50,68,79,93,102,115],"mixed":[9],"Gaussian":[10,168],"and":[11,83,106,133,150,161],"impulsive":[12,156],"noise":[13,157,169,183],"reduction":[14],"in":[15,53,71],"color":[16],"images.":[17],"A":[18],"robust":[19],"filtering":[20,109,131,144],"technique":[21,125],"is":[22,25,111,146,162,191],"proposed,":[23],"which":[24,180],"utilizing":[26],"a":[27,112,178],"novel":[28],"concept":[29],"pixels":[31,101,117],"dissimilarity":[32],"based":[33],"on":[34],"reachability":[36,61,95],"distance.":[37],"The":[38,123,142],"structure":[39],"denoising":[42,140],"method":[43,179],"requires":[44],"estimation":[46],"impulsiveness":[49],"each":[51,69],"pixel":[52,70,82],"processing":[55,121],"block":[56,73],"using":[57],"introduced":[59,143,153],"local":[60],"concept.":[62],"Furthermore,":[63],"determine":[65],"similarity":[67],"to":[74,97,119,148,164,193],"central":[76,104],"patch":[77,105],"consisting":[78],"processed":[81],"its":[84,138,196],"neighbors.":[85],"Both":[86],"measures":[87],"are":[88],"calculated":[89],"as":[90],"an":[91],"average":[92,114],"modified":[94],"distances":[96],"most":[99],"similar":[100],"final":[108],"output":[110],"weighted":[113],"all":[116],"belonging":[118],"block.":[122],"proposed":[124,177,189],"was":[126],"compared":[127],"with":[128],"widely":[129],"used":[130],"methods":[132],"performed":[135],"experiments":[136],"proved":[137],"satisfying":[139],"properties.":[141],"design":[145],"insensitive":[147],"outliers":[149],"their":[151],"clusters":[152],"by":[154],"process,":[158],"preserves":[159],"details":[160],"able":[163,192],"efficiently":[165],"suppress":[166],"while":[170],"enhancing":[171],"image":[173],"edges.":[174],"Additionally,":[175],"estimates":[181],"contamination":[184],"intensity,":[185],"so":[186],"that":[187],"filter":[190],"adaptively":[194],"tune":[195],"parameters.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}