{"id":"https://openalex.org/W5288377","doi":"https://doi.org/10.1007/978-3-319-10662-5_10","title":"Gaussian Mixture Model Based Non-Local Means Technique for Mixed Noise Suppression in Color Images","display_name":"Gaussian Mixture Model Based Non-Local Means Technique for Mixed Noise Suppression in Color Images","publication_year":2014,"publication_date":"2014-08-25","ids":{"openalex":"https://openalex.org/W5288377","doi":"https://doi.org/10.1007/978-3-319-10662-5_10","mag":"5288377"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-10662-5_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10662-5_10","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"book-chapter","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/A5019775197","display_name":"Maria \u0141uszczkiewicz-Pi\u0105tek","orcid":null},"institutions":[{"id":"https://openalex.org/I34250744","display_name":"University of \u0141\u00f3d\u017a","ror":"https://ror.org/05cq64r17","country_code":"PL","type":"education","lineage":["https://openalex.org/I34250744"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Maria Luszczkiewicz-Piatek","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Department of Applied Computer Science, University of Lodz, Banacha 22, 90-238, Lodz, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Department of Applied Computer Science, University of Lodz, Banacha 22, 90-238, Lodz, Poland","institution_ids":["https://openalex.org/I34250744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019775197"],"corresponding_institution_ids":["https://openalex.org/I34250744"],"apc_list":null,"apc_paid":null,"fwci":0.4644,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65694819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"83"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"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":0.9891999959945679,"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/impulse-noise","display_name":"Impulse noise","score":0.8401321172714233},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6860575079917908},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.633411169052124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5088348984718323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4838225245475769},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4746050238609314},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.47295424342155457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46422359347343445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4580070674419403},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4466349482536316},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4454350769519806},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4357183873653412},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4320374131202698},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42928826808929443},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4213104546070099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4184279143810272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24002838134765625},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.19787371158599854},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1627180576324463},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08845850825309753},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.0671299397945404}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.8401321172714233},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6860575079917908},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.633411169052124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5088348984718323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4838225245475769},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4746050238609314},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.47295424342155457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46422359347343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4580070674419403},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4466349482536316},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4454350769519806},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4357183873653412},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4320374131202698},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42928826808929443},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4213104546070099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4184279143810272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24002838134765625},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.19787371158599854},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1627180576324463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08845850825309753},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0671299397945404},{"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:10.1007/978-3-319-10662-5_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10662-5_10","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W2000512760","https://openalex.org/W2002743102","https://openalex.org/W2033603511","https://openalex.org/W2092697835","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2109239774","https://openalex.org/W2127864339","https://openalex.org/W2143668817","https://openalex.org/W2150134853","https://openalex.org/W2150526442","https://openalex.org/W2151091758","https://openalex.org/W2158133042","https://openalex.org/W2160817147","https://openalex.org/W2491244886"],"related_works":["https://openalex.org/W2120405331","https://openalex.org/W2027616686","https://openalex.org/W2116036791","https://openalex.org/W2366833166","https://openalex.org/W4379184580","https://openalex.org/W2306622391","https://openalex.org/W2891946237","https://openalex.org/W2245664997","https://openalex.org/W2389781876","https://openalex.org/W2056920477"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
