{"id":"https://openalex.org/W2242158751","doi":"https://doi.org/10.1109/fskd.2015.7382227","title":"A unified minimization framework for single/multi-shot nonparametric blind deblurring","display_name":"A unified minimization framework for single/multi-shot nonparametric blind deblurring","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2242158751","doi":"https://doi.org/10.1109/fskd.2015.7382227","mag":"2242158751"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/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"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen-Ze Shao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Sci. & Tech, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Sci. & Tech, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"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 Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024785349","display_name":"Shipeng Xie","orcid":"https://orcid.org/0000-0003-2233-3343"},"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":"Shi-Peng Xie","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115599649","display_name":"Haibo Li","orcid":"https://orcid.org/0000-0003-1469-7542"},"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":"Hai-Bo Li","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004514838","display_name":"Hai-Song Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Song Deng","raw_affiliation_strings":["School of Mathematics and Statistics, Nanjing Audit University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"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":false,"raw_author_name":"Zhi-Hui Wei","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101950655"],"corresponding_institution_ids":["https://openalex.org/I41198531","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12182171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1839","last_page":"1846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9886000156402588,"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":0.828731119632721},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6019649505615234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5482473969459534},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.5159924030303955},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5158766508102417},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.513461172580719},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5015528202056885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49942708015441895},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44328221678733826},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4421081244945526},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.44132310152053833},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.36725831031799316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3460760712623596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33834201097488403},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.29942378401756287},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25238925218582153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19091957807540894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18626675009727478}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.828731119632721},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6019649505615234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5482473969459534},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.5159924030303955},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5158766508102417},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.513461172580719},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5015528202056885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49942708015441895},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44328221678733826},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4421081244945526},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.44132310152053833},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.36725831031799316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3460760712623596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33834201097488403},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.29942378401756287},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25238925218582153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19091957807540894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18626675009727478},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W158587707","https://openalex.org/W1598281290","https://openalex.org/W1795014501","https://openalex.org/W1959944918","https://openalex.org/W1976730913","https://openalex.org/W1984859941","https://openalex.org/W1987075379","https://openalex.org/W2000721204","https://openalex.org/W2036682493","https://openalex.org/W2045260838","https://openalex.org/W2059859530","https://openalex.org/W2065513175","https://openalex.org/W2098535678","https://openalex.org/W2110671603","https://openalex.org/W2126252886","https://openalex.org/W2130270732","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2157434051","https://openalex.org/W2161804069","https://openalex.org/W2167307343","https://openalex.org/W2171500271","https://openalex.org/W2187446163","https://openalex.org/W2228350129","https://openalex.org/W4254979477","https://openalex.org/W4285719527","https://openalex.org/W6635527474","https://openalex.org/W6638563174","https://openalex.org/W6676319836","https://openalex.org/W6681807782","https://openalex.org/W6689233319"],"related_works":["https://openalex.org/W2022101081","https://openalex.org/W2343807919","https://openalex.org/W1504464002","https://openalex.org/W267179267","https://openalex.org/W2112625385","https://openalex.org/W2269775642","https://openalex.org/W791927757","https://openalex.org/W4205848364","https://openalex.org/W2539119970","https://openalex.org/W2134276905"],"abstract_inverted_index":{"The":[0,85],"nonparametric":[1],"blind":[2,43,153],"deconvolution,":[3],"either":[4],"single":[5,40],"or":[6],"multi-shot,":[7],"has":[8],"been":[9],"intensively":[10],"studied":[11],"since":[12],"Fergus":[13],"et":[14,230],"al.'s":[15,231],"variational":[16,80,121],"Bayesian":[17,81,122],"approach":[18,87],"to":[19,57,205],"camera":[20],"shake":[21],"deblurring":[22],"[1].":[23],"However,":[24],"in":[25,65,95,117],"the":[26,35,59,62,79,97,101,115,138,151,179,185,188,190,209,237,242],"current":[27],"literature":[28],"there":[29],"is":[30,88,124,155,212],"always":[31],"a":[32,51,70,91,128,132,143],"gap":[33,60],"between":[34,61],"two":[36,63],"highly":[37],"related":[38,198],"problems;":[39],"and":[41,47,73,82,100,142,173,239],"multi-shot":[42],"deconvolution":[44,154],"are":[45,109,200],"modeled":[46,126],"solved":[48],"independently,":[49],"lacking":[50],"unified":[52,74],"optimization":[53],"perspective.":[54],"We":[55],"attempt":[56],"bridge":[58],"problems":[64],"this":[66],"paper,":[67],"via":[68],"constructing":[69],"simple,":[71],"rigorous":[72],"minimization":[75,163],"functional":[76],"which":[77,96],"couples":[78],"maximum-a-posteriori":[83],"principles.":[84],"new":[86],"depicted":[89],"using":[90],"directed":[92],"graphic":[93],"model,":[94],"sharp":[98,140,186],"image":[99,141],"inverse":[102,148,191],"noise":[103,149,192],"variance":[104],"associated":[105],"with":[106,222],"each":[107,147],"shot":[108],"treated":[110],"as":[111,127,194,196],"random":[112],"variables,":[113],"while":[114,221],"blur-kernel,":[116,189],"difference":[118],"from":[119],"existing":[120,206],"methods,":[123,208],"just":[125],"deterministic":[129],"parameter.":[130],"With":[131],"universal,":[133],"three-level":[134],"hierarchical":[135],"prior":[136],"on":[137,146,228],"latent":[139],"Gamma":[144],"hyper-prior":[145],"variance,":[150,193],"single/multi-shot":[152,207],"formulated":[156],"into":[157],"an":[158],"\u21130.5-norm":[159],"regularized":[160],"negative":[161],"log-marginal-likelihood":[162],"problem.":[164],"By":[165],"ideas":[166],"of":[167,182,241],"expectation-maximization,":[168],"majorization-minimization,":[169],"mean":[170],"field":[171],"approximation,":[172],"iteratively":[174],"reweighted":[175],"least":[176],"squares,":[177],"all":[178],"unknown":[180],"quantities":[181],"interest,":[183],"including":[184],"image,":[187],"well":[195],"other":[197],"parameters":[199],"estimated":[201],"automatically.":[202],"In":[203],"comparison":[204],"proposed":[210,243],"method":[211],"not":[213],"only":[214],"more":[215,219],"flexible,":[216],"but":[217],"also":[218],"adaptive":[220],"less":[223],"implementational":[224],"heuristics.":[225],"Experimental":[226],"results":[227],"Levin":[229],"[2]":[232],"benchmark":[233],"data":[234],"set":[235],"demonstrate":[236],"effectiveness":[238],"superiority":[240],"framework.":[244]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}