{"id":"https://openalex.org/W4321021964","doi":"https://doi.org/10.1109/tip.2023.3244417","title":"INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions","display_name":"INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321021964","doi":"https://doi.org/10.1109/tip.2023.3244417","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027543"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3244417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3244417","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","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/A5100419461","display_name":"Zhihong Zhang","orcid":"https://orcid.org/0000-0002-2959-3538"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihong Zhang","raw_affiliation_strings":["Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2959-3538","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100294901","display_name":"Yuxiao Cheng","orcid":"https://orcid.org/0000-0002-9097-1454"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Cheng","raw_affiliation_strings":["Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051445938","display_name":"Jinli Suo","orcid":"https://orcid.org/0000-0002-3426-1634"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinli Suo","raw_affiliation_strings":["Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3426-1634","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090932389","display_name":"Liheng Bian","orcid":"https://orcid.org/0000-0002-8016-0375"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liheng Bian","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology and the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8016-0375","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology and the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7043-3061","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100419461"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.8276,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96331341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"1390","last_page":"1402"},"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":0.9991000294685364,"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":0.9965999722480774,"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":0.9824436902999878},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7471155524253845},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.7351994514465332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898496150970459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.673060953617096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.592620313167572},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.5625271797180176},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4216155409812927},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4175727367401123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34907275438308716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32403403520584106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2957437336444855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27330100536346436}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9824436902999878},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7471155524253845},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7351994514465332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898496150970459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.673060953617096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.592620313167572},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.5625271797180176},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4216155409812927},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4175727367401123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34907275438308716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32403403520584106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2957437336444855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27330100536346436},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3244417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3244417","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"},{"id":"pmid:37027543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027543","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1913929480","display_name":null,"funder_award_id":"61931012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3607625200","display_name":null,"funder_award_id":"2020AAA0108202","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","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"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1510355813","https://openalex.org/W1805346680","https://openalex.org/W1830080329","https://openalex.org/W1974736746","https://openalex.org/W1978333359","https://openalex.org/W1994321112","https://openalex.org/W2010096339","https://openalex.org/W2030108224","https://openalex.org/W2088691392","https://openalex.org/W2110061212","https://openalex.org/W2110492881","https://openalex.org/W2167053624","https://openalex.org/W2167307343","https://openalex.org/W2169983928","https://openalex.org/W2170820036","https://openalex.org/W2172275395","https://openalex.org/W2461759225","https://openalex.org/W2552111036","https://openalex.org/W2597289420","https://openalex.org/W2613155248","https://openalex.org/W2708797285","https://openalex.org/W2738579427","https://openalex.org/W2798840374","https://openalex.org/W2805968600","https://openalex.org/W2952323569","https://openalex.org/W2963945023","https://openalex.org/W2968090525","https://openalex.org/W2973088850","https://openalex.org/W2980480982","https://openalex.org/W2989268192","https://openalex.org/W2998785217","https://openalex.org/W3002607798","https://openalex.org/W3008618604","https://openalex.org/W3035302306","https://openalex.org/W3081405069","https://openalex.org/W3093242897","https://openalex.org/W3100506797","https://openalex.org/W3120106689","https://openalex.org/W3175066496","https://openalex.org/W3209011223","https://openalex.org/W4200160233","https://openalex.org/W4200462364","https://openalex.org/W4212774754","https://openalex.org/W4223592826","https://openalex.org/W4224307947","https://openalex.org/W4225311173","https://openalex.org/W4226453196","https://openalex.org/W4296980820","https://openalex.org/W6638685166","https://openalex.org/W6681807782","https://openalex.org/W6755179280","https://openalex.org/W6772645660","https://openalex.org/W6785808210","https://openalex.org/W6809965371","https://openalex.org/W6840708829"],"related_works":["https://openalex.org/W791927757","https://openalex.org/W4242983818","https://openalex.org/W2269775642","https://openalex.org/W2059639161","https://openalex.org/W584962943","https://openalex.org/W2059641814","https://openalex.org/W2348457039","https://openalex.org/W2364399933","https://openalex.org/W2026824768","https://openalex.org/W2141591465"],"abstract_inverted_index":{"Under":[0],"low-light":[1,31,44,196,200],"environment,":[2],"handheld":[3],"photography":[4],"suffers":[5],"from":[6],"severe":[7],"camera":[8],"shake":[9],"under":[10],"long":[11],"exposure":[12],"settings.":[13],"Although":[14],"existing":[15,58],"deblurring":[16,80,92],"algorithms":[17,59],"have":[18],"shown":[19],"promising":[20],"performance":[21,64,254],"on":[22,245],"well-exposed":[23],"blurry":[24],"images,":[25],"they":[26],"still":[27],"cannot":[28],"cope":[29],"with":[30,144],"snapshots.":[32],"Sophisticated":[33],"noise":[34,121,201],"and":[35,60,77,96,122,130,138,172,225,248],"saturation":[36],"regions":[37,125],"are":[38],"two":[39,141],"dominating":[40],"challenges":[41],"in":[42,56,126,134,194],"practical":[43],"deblurring:":[45],"the":[46,49,67,72,79,127,135,140,185,217,238,252,256],"former":[47],"violates":[48],"Gaussian":[50],"or":[51],"Poisson":[52],"assumption":[53],"widely":[54],"used":[55],"most":[57],"thus":[61],"degrades":[62],"their":[63],"badly,":[65],"while":[66,236],"latter":[68],"introduces":[69],"non-linearity":[70],"to":[71,103,175,180,190,205],"classical":[73],"convolution-based":[74],"blurring":[75],"model":[76,171,202,212],"makes":[78],"task":[81],"even":[82],"challenging.":[83],"In":[84,108],"this":[85],"work,":[86],"we":[87,160],"propose":[88],"a":[89,115,145,162,168,177,198],"novel":[90],"non-blind":[91],"method":[93],"dubbed":[94],"image":[95,128],"feature":[97,136],"space":[98,129],"Wiener":[99,219],"deconvolution":[100,220],"network":[101,149,158],"(INFWIDE)":[102],"tackle":[104],"these":[105],"problems":[106],"systematically.":[107],"terms":[109],"of":[110,164,184,216,255],"algorithm":[111],"design,":[112],"INFWIDE":[113,231],"proposes":[114],"two-branch":[116],"architecture,":[117],"which":[118],"explicitly":[119],"removes":[120],"hallucinates":[123],"saturated":[124],"suppresses":[131],"ringing":[132],"artifacts":[133,240],"space,":[137],"integrates":[139],"complementary":[142],"outputs":[143],"subtle":[146],"multi-scale":[147],"fusion":[148],"for":[150,211],"high":[151],"quality":[152],"night":[153,209],"photograph":[154],"deblurring.":[155,242],"For":[156],"effective":[157],"training,":[159],"design":[161],"set":[163],"loss":[165],"functions":[166],"integrating":[167],"forward":[169],"imaging":[170],"backward":[173],"reconstruction":[174],"form":[176],"close-loop":[178],"regularization":[179],"secure":[181],"good":[182],"convergence":[183],"deep":[186,226],"neural":[187,227],"network.":[188],"Further,":[189],"optimize":[191],"INFWIDE's":[192],"applicability":[193],"real":[195,249],"conditions,":[197],"physical-process-based":[199],"is":[203],"employed":[204],"synthesize":[206],"realistic":[207],"noisy":[208],"photographs":[210],"training.":[213],"Taking":[214],"advantage":[215],"traditional":[218],"algorithm's":[221],"physically":[222],"driven":[223],"characteristics":[224],"network's":[228],"representation":[229],"ability,":[230],"can":[232],"recover":[233],"fine":[234],"details":[235],"suppressing":[237],"unpleasant":[239],"during":[241],"Extensive":[243],"experiments":[244],"synthetic":[246],"data":[247,250],"demonstrate":[251],"superior":[253],"proposed":[257],"approach.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}