{"id":"https://openalex.org/W4200462364","doi":"https://doi.org/10.1109/tpami.2021.3138787","title":"DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring","display_name":"DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4200462364","doi":"https://doi.org/10.1109/tpami.2021.3138787","pmid":"https://pubmed.ncbi.nlm.nih.gov/34962863"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3138787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3138787","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012044166","display_name":"Jiangxin Dong","orcid":"https://orcid.org/0000-0002-7529-9022"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangxin Dong","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7529-9022","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056098625","display_name":"Stefan Roth","orcid":"https://orcid.org/0000-0001-9002-9832"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Roth","raw_affiliation_strings":["Department of Computer Science, TU Darmstadt, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9002-9832","affiliations":[{"raw_affiliation_string":"Department of Computer Science, TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051534545","display_name":"Bernt Schiele","orcid":"https://orcid.org/0000-0001-9683-5237"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernt Schiele","raw_affiliation_strings":["Department of Computer Vision and Machine Learning, Max Planck Institute for Informatics, Saarbr&#x00FC;cken, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9683-5237","affiliations":[{"raw_affiliation_string":"Department of Computer Vision and Machine Learning, Max Planck Institute for Informatics, Saarbr&#x00FC;cken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012044166"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":4.558,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.95914909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"44","issue":"12","first_page":"9960","last_page":"9976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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":0.9959999918937683,"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/deblurring","display_name":"Deblurring","score":0.9601238965988159},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8366700410842896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7432529926300049},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6701463460922241},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6267383098602295},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.6170268654823303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5911208391189575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5457841157913208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49344053864479065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48323163390159607},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4660768508911133},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43824607133865356},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.39933574199676514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3251146674156189},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31571149826049805},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3109855055809021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2718200981616974}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9601238965988159},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8366700410842896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7432529926300049},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6701463460922241},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6267383098602295},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.6170268654823303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911208391189575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5457841157913208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49344053864479065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48323163390159607},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4660768508911133},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43824607133865356},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.39933574199676514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3251146674156189},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31571149826049805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3109855055809021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2718200981616974},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2021.3138787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3138787","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34962863","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34962863","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:139305","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/139305/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3229867420","display_name":null,"funder_award_id":"866008","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W233979554","https://openalex.org/W1510355813","https://openalex.org/W1522301498","https://openalex.org/W1588663000","https://openalex.org/W1598281290","https://openalex.org/W1598936309","https://openalex.org/W1805346680","https://openalex.org/W1915360731","https://openalex.org/W1973567017","https://openalex.org/W1976730913","https://openalex.org/W1978333359","https://openalex.org/W1978749115","https://openalex.org/W1994321112","https://openalex.org/W2032506791","https://openalex.org/W2034713765","https://openalex.org/W2036528167","https://openalex.org/W2043529138","https://openalex.org/W2044713151","https://openalex.org/W2044810215","https://openalex.org/W2056370875","https://openalex.org/W2073750241","https://openalex.org/W2088691392","https://openalex.org/W2092663520","https://openalex.org/W2110061212","https://openalex.org/W2121927366","https://openalex.org/W2124964692","https://openalex.org/W2130975789","https://openalex.org/W2131686571","https://openalex.org/W2134276905","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2170608748","https://openalex.org/W2172275395","https://openalex.org/W2194775991","https://openalex.org/W2331376995","https://openalex.org/W2461759225","https://openalex.org/W2465552163","https://openalex.org/W2520164769","https://openalex.org/W2552111036","https://openalex.org/W2556068545","https://openalex.org/W2573726823","https://openalex.org/W2581510845","https://openalex.org/W2604329646","https://openalex.org/W2613155248","https://openalex.org/W2708797285","https://openalex.org/W2741183886","https://openalex.org/W2746434776","https://openalex.org/W2759428153","https://openalex.org/W2776500869","https://openalex.org/W2777685367","https://openalex.org/W2780534972","https://openalex.org/W2784344583","https://openalex.org/W2798840374","https://openalex.org/W2805968600","https://openalex.org/W2891432604","https://openalex.org/W2894652550","https://openalex.org/W2906909967","https://openalex.org/W2949128855","https://openalex.org/W2949440985","https://openalex.org/W2951603627","https://openalex.org/W2961218591","https://openalex.org/W2963200935","https://openalex.org/W2963312584","https://openalex.org/W2964030969","https://openalex.org/W2964116203","https://openalex.org/W2965217508","https://openalex.org/W3008618604","https://openalex.org/W3035355889","https://openalex.org/W3093242897","https://openalex.org/W3102025760","https://openalex.org/W3106101698","https://openalex.org/W3131941118","https://openalex.org/W3156456396","https://openalex.org/W4206097460","https://openalex.org/W4247043502","https://openalex.org/W4294285296","https://openalex.org/W6631190155","https://openalex.org/W6658772490","https://openalex.org/W6678856934","https://openalex.org/W6681807782","https://openalex.org/W6683595889","https://openalex.org/W6726381175","https://openalex.org/W6732614006","https://openalex.org/W6735698919","https://openalex.org/W6744107740","https://openalex.org/W6755179280","https://openalex.org/W6757864450","https://openalex.org/W6762438721","https://openalex.org/W6785808210"],"related_works":["https://openalex.org/W791927757","https://openalex.org/W2269775642","https://openalex.org/W2059639161","https://openalex.org/W2075075842","https://openalex.org/W4242983818","https://openalex.org/W584962943","https://openalex.org/W2059641814","https://openalex.org/W2348457039","https://openalex.org/W2364399933","https://openalex.org/W2026824768"],"abstract_inverted_index":{"We":[0],"present":[1,107],"a":[2,41,46,162],"simple":[3],"and":[4,14,74,86,118,153],"effective":[5],"approach":[6],"for":[7],"non-blind":[8,157],"image":[9,25,30,65,158],"deblurring,":[10],"combining":[11],"classical":[12,47],"techniques":[13],"deep":[15,53,69,142],"learning.":[16],"In":[17],"contrast":[18],"to":[19,34],"existing":[20],"methods":[21,160],"that":[22,139],"deblur":[23],"the":[24,28,63,67,111,114,120,128,131,140],"directly":[26],"in":[27,40,82],"standard":[29],"space,":[31],"we":[32,106],"propose":[33],"perform":[35],"an":[36,83],"explicit":[37],"deconvolution":[38,49,117,144],"process":[39],"feature":[42,58,123],"space":[43],"by":[44,161],"integrating":[45],"Wiener":[48,116,143],"framework":[50],"with":[51,90,149],"learned":[52],"features.":[54],"A":[55],"multi-scale":[56,121],"cascaded":[57,122],"refinement":[59,124],"module":[60],"then":[61],"predicts":[62],"deblurred":[64,147],"from":[66],"deconvolved":[68],"features,":[70],"progressively":[71],"recovering":[72],"detail":[73],"small-scale":[75],"structures.":[76],"The":[77],"proposed":[78,132,141],"model":[79],"is":[80],"trained":[81],"end-to-end":[84],"manner":[85],"evaluated":[87],"on":[88],"scenarios":[89],"simulated":[91],"Gaussian":[92],"noise,":[93],"saturated":[94],"pixels,":[95],"or":[96],"JPEG":[97],"compression":[98],"artifacts":[99,152],"as":[100,102,125,127],"well":[101,126],"real-world":[103],"images.":[104],"Moreover,":[105],"detailed":[108],"analyses":[109],"of":[110,113,119,130],"benefit":[112],"feature-based":[115],"robustness":[129],"approach.":[133],"Our":[134],"extensive":[135],"experimental":[136],"results":[137,148],"show":[138],"network":[145],"facilitates":[146],"visibly":[150],"fewer":[151],"quantitatively":[154],"outperforms":[155],"state-of-the-art":[156],"deblurring":[159],"wide":[163],"margin.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":6}],"updated_date":"2026-05-19T08:33:51.333923","created_date":"2025-10-10T00:00:00"}
