{"id":"https://openalex.org/W3165862556","doi":"https://doi.org/10.1109/tmm.2021.3079697","title":"Towards Fast and Robust Real Image Denoising With Attentive Neural Network and PID Controller","display_name":"Towards Fast and Robust Real Image Denoising With Attentive Neural Network and PID Controller","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3165862556","doi":"https://doi.org/10.1109/tmm.2021.3079697","mag":"3165862556"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3079697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3079697","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5068110988","display_name":"Ruijun Ma","orcid":"https://orcid.org/0000-0001-6876-8153"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN","MO"],"is_corresponding":true,"raw_author_name":"Ruijun Ma","raw_affiliation_strings":["PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China","Guangdong Industrial Training Center, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"Guangdong Industrial Training Center, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638587","display_name":"Shuyi Li","orcid":"https://orcid.org/0000-0001-6264-9006"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shuyi Li","raw_affiliation_strings":["PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Dept. of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082787229","display_name":"Zhengming Li","orcid":"https://orcid.org/0000-0001-7330-8864"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengming Li","raw_affiliation_strings":["Guangdong Industrial Training Center, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Industrial Training Center, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068110988"],"corresponding_institution_ids":["https://openalex.org/I204512498","https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":3.3624,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.93769608,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"2366","last_page":"2377"},"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":0.9970999956130981,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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":0.8223775625228882},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7027462124824524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253011226654053},{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.6029651165008545},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5465854406356812},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5289119482040405},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4948832392692566},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4392293393611908},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4224080741405487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41741085052490234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40879642963409424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4023311138153076},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.14426562190055847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.070519357919693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8223775625228882},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7027462124824524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253011226654053},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.6029651165008545},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465854406356812},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5289119482040405},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4948832392692566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4392293393611908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4224080741405487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41741085052490234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40879642963409424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4023311138153076},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.14426562190055847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.070519357919693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3079697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3079697","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1396057814","display_name":null,"funder_award_id":"2020KQNCX040","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7829160424","display_name":null,"funder_award_id":"MYRG2019-00006-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1484539719","https://openalex.org/W1504409388","https://openalex.org/W1522301498","https://openalex.org/W1906770428","https://openalex.org/W1912194039","https://openalex.org/W2037642501","https://openalex.org/W2047710600","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2117539524","https://openalex.org/W2121927366","https://openalex.org/W2127701282","https://openalex.org/W2130184048","https://openalex.org/W2130975789","https://openalex.org/W2131686571","https://openalex.org/W2156015172","https://openalex.org/W2163446914","https://openalex.org/W2172275395","https://openalex.org/W2469031810","https://openalex.org/W2476548250","https://openalex.org/W2508457857","https://openalex.org/W2520474966","https://openalex.org/W2561455088","https://openalex.org/W2613155248","https://openalex.org/W2613184245","https://openalex.org/W2727650663","https://openalex.org/W2741137940","https://openalex.org/W2764207251","https://openalex.org/W2773068069","https://openalex.org/W2795722336","https://openalex.org/W2798278116","https://openalex.org/W2798391154","https://openalex.org/W2799192307","https://openalex.org/W2804078698","https://openalex.org/W2820727372","https://openalex.org/W2941471678","https://openalex.org/W2951362784","https://openalex.org/W2954930822","https://openalex.org/W2955058313","https://openalex.org/W2962767526","https://openalex.org/W2962785568","https://openalex.org/W2963315679","https://openalex.org/W2963507294","https://openalex.org/W2963634756","https://openalex.org/W2963725279","https://openalex.org/W2964343197","https://openalex.org/W2970318705","https://openalex.org/W2971719842","https://openalex.org/W2983315964","https://openalex.org/W2994721977","https://openalex.org/W2999653953","https://openalex.org/W3000775737","https://openalex.org/W3000813620","https://openalex.org/W3002210617","https://openalex.org/W3035383808","https://openalex.org/W3043454823","https://openalex.org/W3106758205","https://openalex.org/W3119346136","https://openalex.org/W4230472795","https://openalex.org/W4288413898","https://openalex.org/W4301511500","https://openalex.org/W4385667669","https://openalex.org/W6640031962","https://openalex.org/W6749894445"],"related_works":["https://openalex.org/W2002388147","https://openalex.org/W3098928304","https://openalex.org/W2394883510","https://openalex.org/W2150958483","https://openalex.org/W2165013373","https://openalex.org/W2922503265","https://openalex.org/W2023324176","https://openalex.org/W2121097709","https://openalex.org/W3097920840","https://openalex.org/W3212795132"],"abstract_inverted_index":{"With":[0],"the":[1,29,59,68,78,86,90,128,133,158],"development":[2],"of":[3,64,77,88],"deep":[4],"learning":[5,105],"technologies,":[6],"recent":[7],"research":[8],"on":[9,139],"real-world":[10],"noisy":[11,129],"image":[12,130,170,174],"denoising":[13,33,52,175],"has":[14],"achieved":[15],"a":[16,22,43,49,110,115,140,166],"considerable":[17],"improvement":[18],"in":[19],"performance.":[20],"However,":[21],"common":[23],"limitation":[24],"for":[25],"existing":[26],"approaches":[27],"is":[28,67,107],"imbalanced":[30],"trade-off":[31],"between":[32],"accuracy":[34],"and":[35,45,81,94,117,131,144,149],"efficiency.":[36],"To":[37],"address":[38],"this":[39],"problem,":[40],"we":[41],"propose":[42],"robust":[44,119],"efficient":[46],"denoiser,":[47],"called":[48],"hierarchical-based":[50],"PID-attention":[51],"network":[53,71,80,93],"(HPDNet),":[54],"to":[55,121],"flexibly":[56],"deal":[57],"with":[58],"sophisticated":[60],"noise.":[61],"The":[62],"core":[63],"our":[65,135],"algorithm":[66],"PID-attentive":[69],"recurrent":[70,92],"(PAR-Net)":[72],"whose":[73],"framework":[74],"mainly":[75],"consists":[76],"LSTM":[79],"PID":[82],"controller.":[83],"PAR-Net":[84,136],"inherits":[85],"advantages":[87],"both":[89],"attentive":[91],"control":[95,112],"action,":[96],"which":[97],"can":[98,137],"encourage":[99],"more":[100,118],"discriminatory":[101],"feature":[102,123],"representations.":[103],"This":[104],"procedure":[106],"implemented":[108],"within":[109],"feedback":[111],"system,":[113],"allowing":[114],"faster":[116],"means":[120],"enhance":[122],"discriminability.":[124],"Furthermore,":[125],"by":[126],"decomposing":[127],"stacking":[132],"PAR-Nets,":[134],"work":[138],"progressively":[141],"hierarchical":[142],"framework,":[143],"hence":[145],"obtain":[146],"multi-scale":[147],"features":[148],"manageable":[150],"successive":[151],"refinements.":[152],"On":[153],"several":[154],"widely":[155],"used":[156],"datasets,":[157],"proposed":[159],"HPDNet":[160],"demonstrates":[161],"high":[162],"efficiency,":[163],"while":[164],"delivering":[165],"better":[167],"perceptually":[168],"appealing":[169],"quality":[171],"over":[172],"state-of-the-art":[173],"methods.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
