{"id":"https://openalex.org/W2939084264","doi":"https://doi.org/10.1007/s11554-019-00868-9","title":"Efficient cascading of multi-domain image Gaussian noise filters","display_name":"Efficient cascading of multi-domain image Gaussian noise filters","publication_year":2019,"publication_date":"2019-03-25","ids":{"openalex":"https://openalex.org/W2939084264","doi":"https://doi.org/10.1007/s11554-019-00868-9","mag":"2939084264"},"language":"en","primary_location":{"id":"doi:10.1007/s11554-019-00868-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11554-019-00868-9","pdf_url":null,"source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-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/A5041278293","display_name":"Meisam Rakhshanfar","orcid":"https://orcid.org/0000-0002-0975-826X"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Meisam Rakhshanfar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086415850","display_name":"Maria A. Amer","orcid":"https://orcid.org/0000-0002-6821-3032"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maria A. Amer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6821-3032","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041278293"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.6127,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71689577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"5","first_page":"1183","last_page":"1195"},"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":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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-noise","display_name":"Gaussian noise","score":0.6284541487693787},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4865335524082184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4723449945449829},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4246615171432495},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4110494554042816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31302690505981445},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23171472549438477}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6284541487693787},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4865335524082184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4723449945449829},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4246615171432495},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4110494554042816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31302690505981445},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23171472549438477},{"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/s11554-019-00868-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11554-019-00868-9","pdf_url":null,"source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W658090481","https://openalex.org/W1485262465","https://openalex.org/W1627054999","https://openalex.org/W1974950326","https://openalex.org/W1978749115","https://openalex.org/W1992852844","https://openalex.org/W2006262236","https://openalex.org/W2007203285","https://openalex.org/W2014311222","https://openalex.org/W2021966702","https://openalex.org/W2032309205","https://openalex.org/W2037133587","https://openalex.org/W2037642501","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2069441534","https://openalex.org/W2085692415","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2106475273","https://openalex.org/W2116857329","https://openalex.org/W2117853853","https://openalex.org/W2132680427","https://openalex.org/W2135065661","https://openalex.org/W2142592339","https://openalex.org/W2147317467","https://openalex.org/W2150134853","https://openalex.org/W2153663612","https://openalex.org/W2156242833","https://openalex.org/W2159889048","https://openalex.org/W2160558632","https://openalex.org/W2317084172","https://openalex.org/W2324298973","https://openalex.org/W2488876280","https://openalex.org/W2518740221","https://openalex.org/W2757754517","https://openalex.org/W2768876880","https://openalex.org/W2839962571"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W4376623224","https://openalex.org/W2951359407","https://openalex.org/W1970319972","https://openalex.org/W2572355887","https://openalex.org/W2953254336"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
