{"id":"https://openalex.org/W2189537089","doi":"https://doi.org/10.1109/wcsp.2015.7341021","title":"Deep convolutional architecture for natural image denoising","display_name":"Deep convolutional architecture for natural image denoising","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189537089","doi":"https://doi.org/10.1109/wcsp.2015.7341021","mag":"2189537089"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2015.7341021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","raw_type":"proceedings-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/A5100617088","display_name":"Xuejiao Wang","orcid":"https://orcid.org/0009-0003-4163-4237"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejiao Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044409315","display_name":"Qiuyan Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyan Tao","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Network Technology"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Network Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784638","display_name":"Lianghao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianghao Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Network Technology"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Network Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718416","display_name":"Dongxiao Li","orcid":"https://orcid.org/0000-0002-5619-0419"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Network Technology"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Network Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107171927","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0001-8391-0592"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Network Technology"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Network Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100617088"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.841,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90425781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8040930032730103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7817034721374512},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6545148491859436},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6375435590744019},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5932871103286743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5769814848899841},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476334691047668},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4973504841327667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.481260746717453},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47187724709510803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4697694480419159},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43182167410850525},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.34574055671691895}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8040930032730103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817034721374512},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6545148491859436},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6375435590744019},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5932871103286743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5769814848899841},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476334691047668},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4973504841327667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.481260746717453},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47187724709510803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4697694480419159},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43182167410850525},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.34574055671691895},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2015.7341021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1849277567","https://openalex.org/W2026942141","https://openalex.org/W2045079989","https://openalex.org/W2095906131","https://openalex.org/W2098477387","https://openalex.org/W2112796928","https://openalex.org/W2114122776","https://openalex.org/W2131686571","https://openalex.org/W2141200610","https://openalex.org/W2146337213","https://openalex.org/W2151503710","https://openalex.org/W2155541015","https://openalex.org/W2546302380"],"related_works":["https://openalex.org/W2098237619","https://openalex.org/W2035842925","https://openalex.org/W1538114257","https://openalex.org/W3046917719","https://openalex.org/W2097073572","https://openalex.org/W2810018092","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W2015687076","https://openalex.org/W2001438600"],"abstract_inverted_index":{"Natural":[0],"image":[1,13,30,32,65,77],"is":[2],"an":[3,26,71],"important":[4,27],"source":[5],"of":[6,21,29,48,118],"human":[7],"access":[8],"to":[9,78],"information,":[10],"however":[11],"observed":[12],"signals":[14],"are":[15],"often":[16],"corrupted":[17],"in":[18,53],"the":[19,38,103],"process":[20],"acquisition":[22],"or":[23,50],"transmission.":[24],"As":[25],"link":[28],"preprocessing,":[31],"denoising":[33,116],"has":[34],"significant":[35],"influence":[36],"on":[37,85],"follow-up":[39],"procedures.":[40],"Unlike":[41],"traditional":[42],"methods":[43],"that":[44,102],"use":[45],"related":[46],"features":[47,110],"spatial":[49],"transform":[51],"domain":[52],"a":[54,59,75,79,86],"single":[55],"image,":[56],"we":[57],"propose":[58],"deep":[60,87,105],"learning":[61],"method":[62,68],"for":[63,124],"natural":[64],"denoising.":[66],"Our":[67],"directly":[69],"learns":[70,108],"end-to-end":[72],"mapping":[73],"from":[74,111],"noisy":[76,112],"corresponding":[80],"de-noised":[81],"image.":[82],"It's":[83],"based":[84],"convolutional":[88,106],"architecture":[89,107],"with":[90],"rectified":[91],"linear":[92],"units":[93],"and":[94,114],"local":[95],"response":[96],"normalization.":[97],"The":[98],"experiment":[99],"results":[100,117],"show":[101],"proposed":[104],"various":[109],"images,":[113],"achieves":[115],"high":[119],"quality":[120],"within":[121],"short":[122],"time":[123],"practical":[125],"usage.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}