{"id":"https://openalex.org/W4322576841","doi":"https://doi.org/10.1109/tcsii.2023.3249297","title":"Blind Image Denoising via Deep Unfolding Network With Degradation Information Guidance","display_name":"Blind Image Denoising via Deep Unfolding Network With Degradation Information Guidance","publication_year":2023,"publication_date":"2023-02-27","ids":{"openalex":"https://openalex.org/W4322576841","doi":"https://doi.org/10.1109/tcsii.2023.3249297"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2023.3249297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2023.3249297","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","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/A5080315217","display_name":"Man Qin","orcid":"https://orcid.org/0000-0002-2332-867X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Man Qin","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028800313","display_name":"Chao Ren","orcid":"https://orcid.org/0000-0002-5347-2728"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ren","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5347-2728","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001179479","display_name":"Hong Yang","orcid":"https://orcid.org/0000-0002-6007-9086"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yang","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100963604","display_name":"Xiaohai He","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohai He","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037392919","display_name":"Zhengyong Wang","orcid":"https://orcid.org/0000-0001-8076-9079"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyong Wang","raw_affiliation_strings":["College of Electronics and Information Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080315217"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":0.3532,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5663778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"70","issue":"8","first_page":"3179","last_page":"3183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.995199978351593,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9933000206947327,"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/interpretability","display_name":"Interpretability","score":0.7815097570419312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471817493438721},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.571691632270813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428644418716431},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4672175645828247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4616187512874603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4517216384410858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41042256355285645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38743093609809875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3748070299625397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563077449798584}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7815097570419312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471817493438721},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.571691632270813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428644418716431},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4672175645828247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4616187512874603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4517216384410858},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41042256355285645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38743093609809875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3748070299625397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563077449798584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2023.3249297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2023.3249297","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2470450589","display_name":null,"funder_award_id":"2022YFS0098","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"},{"id":"https://openalex.org/G2575488011","display_name":null,"funder_award_id":"62171304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5364747477","display_name":null,"funder_award_id":"2022:SCU1029","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1912194039","https://openalex.org/W1930824406","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2114122776","https://openalex.org/W2121927366","https://openalex.org/W2130184048","https://openalex.org/W2142058898","https://openalex.org/W2508457857","https://openalex.org/W2556068545","https://openalex.org/W2613155248","https://openalex.org/W2741137940","https://openalex.org/W2764207251","https://openalex.org/W2784344583","https://openalex.org/W2884585870","https://openalex.org/W2902402285","https://openalex.org/W2964125708","https://openalex.org/W2969622567","https://openalex.org/W2983315964","https://openalex.org/W2999653953","https://openalex.org/W3035302306","https://openalex.org/W3106821383","https://openalex.org/W3158399033","https://openalex.org/W3170835902","https://openalex.org/W3177052299","https://openalex.org/W3185656297","https://openalex.org/W3199039276","https://openalex.org/W3199716252","https://openalex.org/W3212325172","https://openalex.org/W4210842583","https://openalex.org/W4289362008","https://openalex.org/W6640031962","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Blind":[0],"denoising":[1,13,111],"is":[2,29,67,107,131,139,162],"an":[3,68],"active":[4],"research":[5],"area":[6],"in":[7,97],"image":[8],"processing.":[9],"In":[10,71],"recent":[11],"years,":[12],"methods":[14,38,174],"based":[15,74,120],"on":[16,75],"deep":[17,54],"learning":[18],"have":[19],"achieved":[20],"outstanding":[21],"results.":[22],"However,":[23],"directly":[24],"designing":[25],"more":[26],"complex":[27],"networks":[28,56],"very":[30],"challenging":[31],"and":[32,63,88,118,134,154],"often":[33,40],"lacks":[34],"interpretability.":[35],"Besides,":[36],"existing":[37],"also":[39,176],"ignore":[41],"the":[42,51,76,85,104,110,115,124,128,135,144,150],"guidance":[43],"of":[44,53,127],"degradation":[45,65,86],"information.":[46],"Therefore,":[47],"how":[48],"to":[49,92,114,143],"guide":[50],"design":[52,89,149],"neural":[55],"by":[57],"combining":[58],"traditional":[59],"algorithms":[60],"while":[61],"predicting":[62],"utilizing":[64],"information":[66],"open":[69],"problem.":[70,112],"this":[72,102],"brief,":[73],"maximum":[77],"a":[78,155],"posterior":[79],"(MAP)":[80],"framework,":[81,147],"we":[82,148],"first":[83],"estimate":[84],"information,":[87],"corresponding":[90,151],"operators":[91],"obtain":[93],"initial":[94,105],"restoration":[95],"estimation":[96,106],"high-dimensional":[98],"mapping":[99],"space.":[100],"On":[101],"basis,":[103],"substituted":[108,129],"into":[109],"According":[113],"splitting":[116],"algorithm":[117,137,146],"momentum":[119],"gradient":[121],"descent":[122],"method,":[123],"iterative":[125],"optimization":[126],"problem":[130],"carried":[132],"out,":[133],"proposed":[136,145],"framework":[138],"obtained.":[140],"Furthermore,":[141],"according":[142],"network":[152,159,169],"structure,":[153],"novel":[156],"blind":[157,173],"unfolding":[158],"named":[160],"BDUNet":[161],"introduced.":[163],"Experimental":[164],"results":[165],"show":[166],"that":[167],"our":[168],"not":[170],"only":[171],"outperforms":[172],"but":[175],"has":[177],"advantages":[178],"over":[179],"non-blind":[180],"methods.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}