{"id":"https://openalex.org/W3108061235","doi":"https://doi.org/10.1007/978-3-030-69532-3_11","title":"Frequency Attention Network: Blind Noise Removal for Real Images","display_name":"Frequency Attention Network: Blind Noise Removal for Real Images","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3108061235","doi":"https://doi.org/10.1007/978-3-030-69532-3_11","mag":"3108061235"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-69532-3_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-69532-3_11","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/A5049108674","display_name":"Hongcheng Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongcheng Mo","raw_affiliation_strings":["Fullhan Research, Shanghai, China","Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fullhan Research, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008057183","display_name":"Jianfei Jiang","orcid":"https://orcid.org/0000-0002-5521-6197"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfei Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422764","display_name":"Qin Wang","orcid":"https://orcid.org/0000-0001-6824-1351"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001139821","display_name":"Dong Yin","orcid":"https://orcid.org/0000-0002-2358-0816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Yin","raw_affiliation_strings":["Fullhan Research, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fullhan Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102773820","display_name":"Pengyu Dong","orcid":"https://orcid.org/0000-0003-4125-5934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengyu Dong","raw_affiliation_strings":["Fullhan Research, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fullhan Research, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015100556","display_name":"Jingjun Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjun Tian","raw_affiliation_strings":["Fullhan Research, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fullhan Research, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"184"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996399998664856,"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":0.8127450346946716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984258890151978},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.692222535610199},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6432710886001587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6173569560050964},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6147592663764954},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5144041180610657},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.50749272108078},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4920949339866638},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47165170311927795},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35721075534820557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3104044795036316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127450346946716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984258890151978},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.692222535610199},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6432710886001587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6173569560050964},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6147592663764954},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5144041180610657},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.50749272108078},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4920949339866638},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47165170311927795},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35721075534820557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3104044795036316},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-69532-3_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-69532-3_11","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1906770428","https://openalex.org/W1978749115","https://openalex.org/W2042220165","https://openalex.org/W2047710600","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2079724595","https://openalex.org/W2097073572","https://openalex.org/W2098914003","https://openalex.org/W2099244020","https://openalex.org/W2104350111","https://openalex.org/W2125527601","https://openalex.org/W2128989367","https://openalex.org/W2135065661","https://openalex.org/W2159736423","https://openalex.org/W2160547390","https://openalex.org/W2508457857","https://openalex.org/W2518108298","https://openalex.org/W2556068545","https://openalex.org/W2737134362","https://openalex.org/W2752782242","https://openalex.org/W2764207251","https://openalex.org/W2793146153","https://openalex.org/W2799192307","https://openalex.org/W2820727372","https://openalex.org/W2884585870","https://openalex.org/W2891364477","https://openalex.org/W2950217418","https://openalex.org/W2951884431","https://openalex.org/W2962737939","https://openalex.org/W2962767526","https://openalex.org/W2962935103","https://openalex.org/W2963200935","https://openalex.org/W2963315679","https://openalex.org/W2963420686","https://openalex.org/W2963494934","https://openalex.org/W2963725279","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W2964204553","https://openalex.org/W2970318705","https://openalex.org/W2983315964","https://openalex.org/W2989268192","https://openalex.org/W3005363104","https://openalex.org/W3104725225","https://openalex.org/W6601867051"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
