{"id":"https://openalex.org/W2964863338","doi":"https://doi.org/10.1007/978-3-030-26763-6_25","title":"Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition","display_name":"Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964863338","doi":"https://doi.org/10.1007/978-3-030-26763-6_25","mag":"2964863338"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-26763-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26763-6_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5058782332","display_name":"Pengfei Guo","orcid":"https://orcid.org/0000-0001-6976-7179"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Guo","raw_affiliation_strings":["Academy of Computer Science and Technology, Neusoft Institute Guangdong, Foshan, 528200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Computer Science and Technology, Neusoft Institute Guangdong, Foshan, 528200, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lijuan Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Shang","raw_affiliation_strings":["Academy of Computer Science and Technology, Neusoft Institute Guangdong, Foshan, 528200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Computer Science and Technology, Neusoft Institute Guangdong, Foshan, 528200, China","institution_ids":["https://openalex.org/I4210134419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134419"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"273"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7328594326972961},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6627975106239319},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.6279418468475342},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5982397794723511},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5454692244529724},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5434733629226685},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5426637530326843},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4945690333843231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48482027649879456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29945218563079834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16318818926811218},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0769982635974884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328594326972961},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6627975106239319},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6279418468475342},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5982397794723511},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5454692244529724},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5434733629226685},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5426637530326843},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4945690333843231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48482027649879456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29945218563079834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16318818926811218},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0769982635974884},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-26763-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26763-6_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1586417863","https://openalex.org/W1978749115","https://openalex.org/W1995963238","https://openalex.org/W2000545460","https://openalex.org/W2011181254","https://openalex.org/W2024165284","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2071585339","https://openalex.org/W2097073572","https://openalex.org/W2133665775","https://openalex.org/W2158940042","https://openalex.org/W2160547390","https://openalex.org/W2194775991","https://openalex.org/W2501167881","https://openalex.org/W2512929628","https://openalex.org/W2591594771","https://openalex.org/W2810116218","https://openalex.org/W2892316739","https://openalex.org/W4230252983"],"related_works":["https://openalex.org/W2895947835","https://openalex.org/W4379256054","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2093953080","https://openalex.org/W2387428419","https://openalex.org/W2098237619","https://openalex.org/W2911706637","https://openalex.org/W1974034585","https://openalex.org/W47805180"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
