{"id":"https://openalex.org/W4312097551","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980117","title":"An Iterative Majorization-Minimization Approach to Deep Denoiser-Plugged Image Inpainting","display_name":"An Iterative Majorization-Minimization Approach to Deep Denoiser-Plugged Image Inpainting","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312097551","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980117"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9980117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980117","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5075424578","display_name":"Hengyuan Zhao","orcid":"https://orcid.org/0000-0001-8047-4465"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengyuan Zhao","raw_affiliation_strings":["College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950655","display_name":"Wenze Shao","orcid":"https://orcid.org/0000-0001-6869-7789"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenze Shao","raw_affiliation_strings":["College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015501730","display_name":"Fukun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fukun Zhu","raw_affiliation_strings":["College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023319812","display_name":"Yan Peng","orcid":"https://orcid.org/0000-0002-9775-0494"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yan","raw_affiliation_strings":["College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047510579","display_name":"Qi Ge","orcid":"https://orcid.org/0000-0001-6051-3017"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Ge","raw_affiliation_strings":["College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"College of Telecom. & Inform. Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376489","display_name":"Zhuang Miao","orcid":"https://orcid.org/0000-0003-2289-4589"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Miao","raw_affiliation_strings":["College of Command and Control Engineering, Army Engineering University,Nanjing,China","College of Command and Control Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Command and Control Engineering, Army Engineering University,Nanjing,China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"College of Command and Control Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075424578"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12954513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"1","last_page":"8"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9636140465736389},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6020359992980957},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6005460023880005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5991033315658569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5889320373535156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5602025985717773},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5345277786254883},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5275822877883911},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5080981254577637},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4923797845840454},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4717589020729065},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.46716582775115967},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.4647570848464966},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.43359053134918213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4216439127922058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37252819538116455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34199637174606323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3074823021888733},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23092806339263916}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9636140465736389},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6020359992980957},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6005460023880005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5991033315658569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5889320373535156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5602025985717773},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5345277786254883},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5275822877883911},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5080981254577637},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4923797845840454},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4717589020729065},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.46716582775115967},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.4647570848464966},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.43359053134918213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4216439127922058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37252819538116455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34199637174606323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3074823021888733},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23092806339263916},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9980117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980117","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G8374019909","display_name":null,"funder_award_id":"61771250,61972213,11901299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1562968274","https://openalex.org/W1597944220","https://openalex.org/W1972499291","https://openalex.org/W1975377467","https://openalex.org/W2006262236","https://openalex.org/W2007454648","https://openalex.org/W2042984553","https://openalex.org/W2056370875","https://openalex.org/W2064309976","https://openalex.org/W2086962710","https://openalex.org/W2087416986","https://openalex.org/W2096461046","https://openalex.org/W2100556411","https://openalex.org/W2109320267","https://openalex.org/W2114122776","https://openalex.org/W2120001410","https://openalex.org/W2121927366","https://openalex.org/W2142789340","https://openalex.org/W2143384667","https://openalex.org/W2149414429","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2172275395","https://openalex.org/W2194775991","https://openalex.org/W2338117771","https://openalex.org/W2408279554","https://openalex.org/W2508457857","https://openalex.org/W2552808051","https://openalex.org/W2592439061","https://openalex.org/W2604885021","https://openalex.org/W2613155248","https://openalex.org/W2620983607","https://openalex.org/W2798559986","https://openalex.org/W2895176907","https://openalex.org/W2921595853","https://openalex.org/W2949128855","https://openalex.org/W2963446712","https://openalex.org/W2995679912","https://openalex.org/W3102025760","https://openalex.org/W6631190155","https://openalex.org/W6714181750","https://openalex.org/W6729455701","https://openalex.org/W6738686954","https://openalex.org/W6759147604"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W2555730586","https://openalex.org/W189037341","https://openalex.org/W1978749115","https://openalex.org/W2116498084","https://openalex.org/W2903565072"],"abstract_inverted_index":{"It":[0],"is":[1,40,59],"known":[2],"notoriously":[3],"that":[4,66],"most":[5],"deep":[6,91],"learning-based":[7],"computer":[8],"vision":[9],"models":[10],"are":[11],"black-boxes.":[12],"In":[13],"this":[14],"paper,":[15],"a":[16,29],"preliminary":[17],"attempt":[18],"has":[19,70],"been":[20],"made,":[21],"deriving":[22],"an":[23],"interpretable":[24],"representation":[25,88],"learning":[26],"approach":[27,39,69],"to":[28,53],"specific":[30],"inverse":[31],"imaging":[32],"problem,":[33],"i.e.,":[34],"image":[35],"inpainting.":[36],"The":[37],"new":[38],"not":[41],"only":[42],"rooted":[43],"in":[44],"the":[45,54,67],"classical":[46],"optimization":[47],"framework,":[48],"but":[49],"also":[50],"closely":[51],"connected":[52],"numerical":[55],"differential":[56],"equations.":[57],"What":[58],"more":[60],"important,":[61],"numerous":[62],"experimental":[63],"results":[64],"demonstrate":[65],"proposed":[68],"achieved":[71],"comparable":[72],"or":[73,89],"even":[74],"better":[75],"performance":[76],"than":[77],"many":[78],"cutting-edge":[79],"restoration":[80],"algorithms,":[81],"particularly":[82],"those":[83],"based":[84],"on":[85],"either":[86],"sparse":[87],"na\u00efve":[90],"representation.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}