{"id":"https://openalex.org/W3045472838","doi":"https://doi.org/10.1109/tip.2020.3010082","title":"Learning Deeply Aggregated Alternating Minimization for General Inverse Problems","display_name":"Learning Deeply Aggregated Alternating Minimization for General Inverse Problems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045472838","doi":"https://doi.org/10.1109/tip.2020.3010082","mag":"3045472838"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3010082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3010082","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5085334916","display_name":"Hyungjoo Jung","orcid":"https://orcid.org/0000-0003-0348-8649"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungjoo Jung","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0348-8649","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103233233","display_name":"Youngjung Kim","orcid":"https://orcid.org/0000-0002-4288-0160"},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjung Kim","raw_affiliation_strings":["Institute of Defense Advanced Technology Research, Agency for Defense Development, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4288-0160","affiliations":[{"raw_affiliation_string":"Institute of Defense Advanced Technology Research, Agency for Defense Development, Daejeon, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037006973","display_name":"Dongbo Min","orcid":"https://orcid.org/0000-0003-4825-5240"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongbo Min","raw_affiliation_strings":["Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4825-5240","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049079358","display_name":"Hyunsung Jang","orcid":"https://orcid.org/0000-0002-5797-7264"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210089444","display_name":"GS Caltex (South Korea)","ror":"https://ror.org/00bvkj141","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210089444"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsung Jang","raw_affiliation_strings":["EO/IR R&D Laboratory, LIG Nex1 Company Ltd., Yongin, South Korea","School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EO/IR R&D Laboratory, LIG Nex1 Company Ltd., Yongin, South Korea","institution_ids":["https://openalex.org/I4210089444"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059391070","display_name":"Namkoo Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089444","display_name":"GS Caltex (South Korea)","ror":"https://ror.org/00bvkj141","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210089444"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Namkoo Ha","raw_affiliation_strings":["EO/IR R&D Laboratory, LIG Nex1 Company Ltd., Yongin, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EO/IR R&D Laboratory, LIG Nex1 Company Ltd., Yongin, South Korea","institution_ids":["https://openalex.org/I4210089444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073320959","display_name":"Kwanghoon Sohn","orcid":"https://orcid.org/0000-0002-3715-0331"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanghoon Sohn","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3715-0331","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3916,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61765679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"8012","last_page":"8027"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.8992124795913696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309687495231628},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6002931594848633},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5710182785987854},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5621830821037292},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.558036744594574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5345638990402222},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5226433277130127},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.466516375541687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4517374634742737},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3952679932117462},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3580194115638733},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3357120752334595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2873167395591736}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8992124795913696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309687495231628},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6002931594848633},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5710182785987854},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5621830821037292},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.558036744594574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5345638990402222},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5226433277130127},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.466516375541687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4517374634742737},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3952679932117462},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3580194115638733},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3357120752334595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2873167395591736},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tip.2020.3010082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3010082","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4487436089","display_name":null,"funder_award_id":"NRF-2018M3E3A1057289","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W63091017","https://openalex.org/W125693051","https://openalex.org/W194919261","https://openalex.org/W568214519","https://openalex.org/W935139217","https://openalex.org/W1513100184","https://openalex.org/W1565402342","https://openalex.org/W1598281290","https://openalex.org/W1836465849","https://openalex.org/W1878638972","https://openalex.org/W1906770428","https://openalex.org/W1948845264","https://openalex.org/W1976730913","https://openalex.org/W1978333359","https://openalex.org/W1978749115","https://openalex.org/W1997512358","https://openalex.org/W2000594266","https://openalex.org/W2001002651","https://openalex.org/W2001200209","https://openalex.org/W2009511046","https://openalex.org/W2016598597","https://openalex.org/W2017626840","https://openalex.org/W2030507150","https://openalex.org/W2035128422","https://openalex.org/W2037642501","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058749767","https://openalex.org/W2061052400","https://openalex.org/W2064194050","https://openalex.org/W2087416986","https://openalex.org/W2096933452","https://openalex.org/W2097073572","https://openalex.org/W2100705753","https://openalex.org/W2103559027","https://openalex.org/W2104620097","https://openalex.org/W2111557737","https://openalex.org/W2121927366","https://openalex.org/W2124592697","https://openalex.org/W2124964692","https://openalex.org/W2130975789","https://openalex.org/W2133665775","https://openalex.org/W2138204001","https://openalex.org/W2146337213","https://openalex.org/W2147298660","https://openalex.org/W2153388956","https://openalex.org/W2172275395","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2271221198","https://openalex.org/W2291143146","https://openalex.org/W2332742023","https://openalex.org/W2466666260","https://openalex.org/W2494890720","https://openalex.org/W2500602996","https://openalex.org/W2507226760","https://openalex.org/W2508457857","https://openalex.org/W2512704900","https://openalex.org/W2520322935","https://openalex.org/W2520808298","https://openalex.org/W2551161082","https://openalex.org/W2583855388","https://openalex.org/W2604684372","https://openalex.org/W2604885021","https://openalex.org/W2613155248","https://openalex.org/W2620324432","https://openalex.org/W2740982616","https://openalex.org/W2784344583","https://openalex.org/W2803689397","https://openalex.org/W2902719825","https://openalex.org/W2913535645","https://openalex.org/W2936995161","https://openalex.org/W2949117887","https://openalex.org/W2949128855","https://openalex.org/W2951811868","https://openalex.org/W2963017889","https://openalex.org/W2963188557","https://openalex.org/W2963814976","https://openalex.org/W2996868574","https://openalex.org/W3022455972","https://openalex.org/W3102025760","https://openalex.org/W4300167237","https://openalex.org/W6605121731","https://openalex.org/W6624640001","https://openalex.org/W6630726011","https://openalex.org/W6633727509","https://openalex.org/W6638667902","https://openalex.org/W6652830530","https://openalex.org/W6678856934","https://openalex.org/W6681686951","https://openalex.org/W6681807782","https://openalex.org/W6738960811","https://openalex.org/W6758920291","https://openalex.org/W6761030284","https://openalex.org/W6776783948"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2008686286","https://openalex.org/W2182590612","https://openalex.org/W2066650801","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281"],"abstract_inverted_index":{"Regularization-based":[0],"image":[1,11,170],"restoration":[2,171],"is":[3,108,164],"one":[4],"of":[5,73,99,135,161,169],"the":[6,71,74,81,91,106,112,127,145],"most":[7],"powerful":[8],"tools":[9],"in":[10,166],"processing":[12],"and":[13,37,52,155,181],"computer":[14],"vision":[15],"thanks":[16],"to":[17,68,80,129],"its":[18],"flexibility":[19],"for":[20],"handling":[21],"various":[22],"inverse":[23],"problems.":[24],"However,":[25],"designing":[26],"an":[27,139],"optimal":[28],"regularization":[29],"function":[30],"still":[31],"remains":[32],"unsolved":[33],"since":[34],"natural":[35,100],"images":[36,101],"related":[38],"scene":[39],"types":[40],"have":[41],"a":[42,50,63,87,97,132,167],"complex":[43],"structure.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"present":[49],"general":[51],"principled":[53],"framework,":[54],"called":[55],"deeply":[56],"aggregated":[57],"alternating":[58,75],"minimization":[59,76],"(DeepAM).":[60],"We":[61,142],"design":[62],"convolutional":[64],"neural":[65],"network":[66],"(CNN)":[67],"implicitly":[69],"parameterize":[70],"regularizer":[72],"(AM)":[77],"algorithm.":[78],"Contrary":[79],"conventional":[82],"AM":[83,113],"algorithm":[84],"based":[85],"on":[86],"point-wise":[88],"proximal":[89],"mapping,":[90],"DeepAM":[92,128,146],"projects":[93],"intermediate":[94],"estimate":[95],"into":[96,111],"set":[98],"via":[102],"deep":[103],"aggregation.":[104],"Since":[105],"CNN":[107],"fully":[109],"integrated":[110],"procedure,":[114],"all":[115],"parameters":[116],"can":[117],"be":[118],"jointly":[119],"optimized":[120],"through":[121],"end-to-end":[122],"training.":[123],"These":[124],"properties":[125],"enable":[126],"converge":[130],"with":[131],"small":[133],"number":[134],"iterations,":[136],"while":[137],"maintaining":[138],"algorithmic":[140],"simplicity.":[141],"show":[143],"that":[144],"outperforms":[147],"state-of-the-art":[148],"methods,":[149,152],"including":[150],"nonlocal-based":[151],"Plug-and-Play":[153],"regularization,":[154],"recent":[156],"data-driven":[157],"approaches.":[158],"The":[159],"effectiveness":[160],"our":[162],"framework":[163],"demonstrated":[165],"variety":[168],"tasks:":[172],"Guassian":[173],"denoising,":[174],"deraining,":[175],"deblurring,":[176],"super-resolution,":[177],"color-guided":[178],"depth":[179],"upsampling,":[180],"RGB/NIR":[182],"restoration.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
