{"id":"https://openalex.org/W4385989217","doi":"https://doi.org/10.1016/j.dsp.2023.104193","title":"Learning Moore-Penrose based residuals for robust non-blind image deconvolution","display_name":"Learning Moore-Penrose based residuals for robust non-blind image deconvolution","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385989217","doi":"https://doi.org/10.1016/j.dsp.2023.104193"},"language":"en","primary_location":{"id":"doi:10.1016/j.dsp.2023.104193","doi":"https://doi.org/10.1016/j.dsp.2023.104193","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dsp.2023.104193","pdf_url":null,"source":{"id":"https://openalex.org/S64117906","display_name":"Digital Signal Processing","issn_l":"1051-2004","issn":["1051-2004","1095-4333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.dsp.2023.104193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046773255","display_name":"Santiago L\u00f3pez-Tapia","orcid":"https://orcid.org/0000-0003-2090-7446","observed_orcids":["https://orcid.org/0000-0003-2090-7446"]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santiago L\u00f3pez-Tapia","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090429413","display_name":"Javier Mateos A","orcid":"https://orcid.org/0000-0001-8455-1771","observed_orcids":["https://orcid.org/0000-0001-8455-1771"]},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Javier Mateos","raw_affiliation_strings":["Dpto. de Ciencias de la Computaci\u00f3n e I. A., Universidad de Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0001-8455-1771","affiliations":[{"raw_affiliation_string":"Dpto. de Ciencias de la Computaci\u00f3n e I. A., Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023830568","display_name":"Rafael Molina","orcid":"https://orcid.org/0000-0003-4694-8588","observed_orcids":["https://orcid.org/0000-0003-4694-8588"]},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Molina","raw_affiliation_strings":["Dpto. de Ciencias de la Computaci\u00f3n e I. A., Universidad de Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto. de Ciencias de la Computaci\u00f3n e I. A., Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070","observed_orcids":["https://orcid.org/0000-0003-4554-0070"]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090429413"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":{"value":2480,"currency":"USD","value_usd":2480},"apc_paid":{"value":2480,"currency":"USD","value_usd":2480},"fwci":0.5454,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61658258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"142","issue":null,"first_page":"104193","last_page":"104193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.989300012588501,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.989300012588501,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.00860000029206276,"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":0.0005000000237487257,"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/image-restoration","display_name":"image restoration","score":0.781000018119812},{"id":"https://openalex.org/keywords/moore-penrose-inverse","display_name":"Moore-Penrose inverse","score":0.9110000133514404},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.9480000138282776},{"id":"https://openalex.org/keywords/blur-kernel-estimation","display_name":"blur kernel estimation","score":0.5879999995231628},{"id":"https://openalex.org/keywords/residual-learning","display_name":"residual learning","score":0.7639999985694885},{"id":"https://openalex.org/keywords/null-space","display_name":"null space","score":0.7310000061988831},{"id":"https://openalex.org/keywords/image-formation-model","display_name":"image formation model","score":0.6629999876022339},{"id":"https://openalex.org/keywords/blur-robustness","display_name":"blur robustness","score":0.5379999876022339}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8369574546813965},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7815762758255005},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.7535527348518372},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.7242162823677063},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6410702466964722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054387092590332},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5965632796287537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5434179902076721},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5427449345588684},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5307849645614624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5026745796203613},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.4822300374507904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4735107719898224},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.444531112909317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4440816044807434},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4328690767288208},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4225623607635498},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4178297519683838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34978365898132324},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3089526891708374},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29126232862472534},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0953858494758606},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.dsp.2023.104193","doi":"https://doi.org/10.1016/j.dsp.2023.104193","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dsp.2023.104193","pdf_url":null,"source":{"id":"https://openalex.org/S64117906","display_name":"Digital Signal Processing","issn_l":"1051-2004","issn":["1051-2004","1095-4333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:digibug.ugr.es:10481/84933","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/84933","pdf_url":"https://digibug.ugr.es/bitstream/10481/84933/1/1-s2.0-S1051200423002889-main.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/j.dsp.2023.104193","doi":"https://doi.org/10.1016/j.dsp.2023.104193","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dsp.2023.104193","pdf_url":null,"source":{"id":"https://openalex.org/S64117906","display_name":"Digital Signal Processing","issn_l":"1051-2004","issn":["1051-2004","1095-4333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1428725115","display_name":null,"funder_award_id":"UGR20","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G4562400454","display_name":null,"funder_award_id":"B-TIC-324-UGR20","funder_id":"https://openalex.org/F4320323834","funder_display_name":"Universidad de Granada"},{"id":"https://openalex.org/G4668258890","display_name":null,"funder_award_id":"UGR20","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"},{"id":"https://openalex.org/G5473196927","display_name":null,"funder_award_id":"P20_00286","funder_id":"https://openalex.org/F4320326754","funder_display_name":"Junta de Andaluc\u00eda"}],"funders":[{"id":"https://openalex.org/F4320323834","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449"},{"id":"https://openalex.org/F4320326754","display_name":"Junta de Andaluc\u00eda","ror":"https://ror.org/01jem9c82"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W212471645","https://openalex.org/W1487444668","https://openalex.org/W1533162639","https://openalex.org/W1638789865","https://openalex.org/W1681747385","https://openalex.org/W1795014501","https://openalex.org/W1885185971","https://openalex.org/W2020812925","https://openalex.org/W2025900737","https://openalex.org/W2036528167","https://openalex.org/W2044945560","https://openalex.org/W2098477387","https://openalex.org/W2098535678","https://openalex.org/W2100705753","https://openalex.org/W2124964692","https://openalex.org/W2133665775","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2146337213","https://openalex.org/W2147298660","https://openalex.org/W2153110463","https://openalex.org/W2414711238","https://openalex.org/W2465552163","https://openalex.org/W2474628748","https://openalex.org/W2476548250","https://openalex.org/W2507550467","https://openalex.org/W2537458122","https://openalex.org/W2560533888","https://openalex.org/W2594894853","https://openalex.org/W2604885021","https://openalex.org/W2607041014","https://openalex.org/W2613155248","https://openalex.org/W2740543610","https://openalex.org/W2766398684","https://openalex.org/W2768546798","https://openalex.org/W2771305881","https://openalex.org/W2782977076","https://openalex.org/W2792296928","https://openalex.org/W2798840374","https://openalex.org/W2891158090","https://openalex.org/W2913535645","https://openalex.org/W2943413045","https://openalex.org/W2949128855","https://openalex.org/W2953133772","https://openalex.org/W2963130865","https://openalex.org/W2964116203","https://openalex.org/W2970971581","https://openalex.org/W2982795046","https://openalex.org/W2985844698","https://openalex.org/W2991044292","https://openalex.org/W2995880605","https://openalex.org/W2997978768","https://openalex.org/W2998785217","https://openalex.org/W3007723889","https://openalex.org/W3008618604","https://openalex.org/W3011252156","https://openalex.org/W3033696290","https://openalex.org/W3034724715","https://openalex.org/W3035530631","https://openalex.org/W3100506797","https://openalex.org/W3120106689","https://openalex.org/W3156456396","https://openalex.org/W3170697543","https://openalex.org/W3171979435","https://openalex.org/W3177525997","https://openalex.org/W3179805570","https://openalex.org/W3195057011","https://openalex.org/W3200282037","https://openalex.org/W4200462364","https://openalex.org/W4245551996","https://openalex.org/W4249009392","https://openalex.org/W4249502209","https://openalex.org/W4255556797","https://openalex.org/W4280554994","https://openalex.org/W4285518780","https://openalex.org/W4292363360","https://openalex.org/W4296437961","https://openalex.org/W6684694354"],"related_works":["https://openalex.org/W4386598275","https://openalex.org/W2792166771","https://openalex.org/W4410197310","https://openalex.org/W2708797285","https://openalex.org/W7160246697","https://openalex.org/W3106101698","https://openalex.org/W6960382783","https://openalex.org/W7100325561","https://openalex.org/W2796802522","https://openalex.org/W4200462364"],"abstract_inverted_index":{"This":[0,71],"paper":[1],"proposes":[2],"a":[3,25,48,114],"deep":[4],"learning-based":[5],"method":[6,144],"for":[7],"image":[8,68,107,128],"restoration":[9],"given":[10],"an":[11],"inaccurate":[12],"knowledge":[13],"of":[14,24,33,47,54,80,141],"the":[15,21,30,34,45,51,55,62,67,77,90,102,131,139,142],"degradation.":[16],"We":[17],"first":[18],"show":[19],"how":[20],"impulse":[22],"response":[23],"Wiener":[26,63,91],"filter":[27,92],"can":[28],"approximate":[29],"Moore-Penrose":[31],"pseudo-inverse":[32],"blur":[35,56,103],"convolution":[36],"operator.":[37],"The":[38,118],"deconvolution":[39],"problem":[40],"is":[41,73],"then":[42],"cast":[43],"as":[44],"learning":[46],"residual":[49],"in":[50,101],"null":[52],"space":[53],"kernel,":[57],"which,":[58],"when":[59],"added":[60],"to":[61,75,94],"restoration,":[64],"will":[65],"satisfy":[66],"formation":[69,108],"model.":[70],"approach":[72],"expected":[74],"make":[76],"network":[78],"capable":[79],"dealing":[81],"with":[82,89],"different":[83],"blurs":[84],"since":[85],"only":[86],"residuals":[87],"associated":[88],"have":[93],"be":[95],"learned.":[96],"Artifacts":[97],"caused":[98],"by":[99,113],"inaccuracies":[100],"estimation":[104],"and":[105,126,135,137],"other":[106],"model":[109],"inconsistencies":[110],"are":[111],"removed":[112],"Dynamic":[115],"Filter":[116],"Network.":[117],"extensive":[119],"experiments":[120],"carried":[121],"out":[122],"on":[123],"several":[124],"synthetic":[125],"real":[127],"datasets":[129],"assert":[130],"proposed":[132,143],"method's":[133],"performance":[134],"robustness":[136],"demonstrate":[138],"advantage":[140],"over":[145],"existing":[146],"ones.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2023-08-19T00:00:00"}
