{"id":"https://openalex.org/W2160786387","doi":"https://doi.org/10.1109/icip.2009.5414143","title":"High-quality non-blind motion deblurring","display_name":"High-quality non-blind motion deblurring","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2160786387","doi":"https://doi.org/10.1109/icip.2009.5414143","mag":"2160786387"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5115076700","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-4887-923X"},"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":"Chao Wang","raw_affiliation_strings":["Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103585545","display_name":"Lifeng Sun","orcid":null},"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":"LiFeng Sun","raw_affiliation_strings":["Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064095491","display_name":"Zhuoyuan Chen","orcid":"https://orcid.org/0000-0002-5814-925X"},"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":"ZhuoYuan Chen","raw_affiliation_strings":["Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024669831","display_name":"Shiqiang Yang","orcid":"https://orcid.org/0000-0001-5356-4094"},"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":"ShiQiang Yang","raw_affiliation_strings":["Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Tsinghua National Laboratory of Information,  Science and Technology. Key Laboratory of Media and Networking,  MOE-Microsoft., Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326970","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0002-7856-5760"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"JianWei Zhang","raw_affiliation_strings":["Department Informatics, University of Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Informatics, University of Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.20123222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"156"},"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":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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":0.979759156703949},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.8249881267547607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7188020348548889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823877096176147},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6424276232719421},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.635179340839386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6069073677062988},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5307592749595642},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5275684595108032},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.4983851909637451},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.47795605659484863},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45556899905204773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3717251420021057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3360190689563751},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3268866240978241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25623664259910583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23629212379455566}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.979759156703949},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.8249881267547607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7188020348548889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823877096176147},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6424276232719421},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.635179340839386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6069073677062988},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5307592749595642},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5275684595108032},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.4983851909637451},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.47795605659484863},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45556899905204773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3717251420021057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3360190689563751},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3268866240978241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25623664259910583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23629212379455566},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5414143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1975417808","https://openalex.org/W2020111712","https://openalex.org/W2030716039","https://openalex.org/W2097713019","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2110061212","https://openalex.org/W2141115311","https://openalex.org/W2154571593","https://openalex.org/W3137059050","https://openalex.org/W4236771684","https://openalex.org/W4247043502"],"related_works":["https://openalex.org/W2022101081","https://openalex.org/W4361800459","https://openalex.org/W2269775642","https://openalex.org/W2075075842","https://openalex.org/W2026824768","https://openalex.org/W2110061212","https://openalex.org/W1983236151","https://openalex.org/W2153878111","https://openalex.org/W2364363516","https://openalex.org/W791927757"],"abstract_inverted_index":{"Traditional":[0],"non-blind":[1,31],"motion":[2],"deblurring":[3,32],"methods":[4],"are":[5,104],"sensitive":[6],"to":[7,74,85],"kernel":[8],"estimate":[9],"errors":[10],"and":[11,59,66],"image":[12,21,25,64,89],"noise,":[13,22],"thus":[14],"suffering":[15],"from":[16,40],"either":[17],"ringing":[18],"artifacts,":[19],"enlarged":[20],"or":[23],"over-smoothed":[24],"details.":[26,90],"We":[27,47,91],"introduce":[28],"a":[29],"robust":[30],"algorithm":[33,73],"that":[34],"produces":[35],"high":[36],"quality":[37],"results":[38,103],"even":[39],"many":[41],"challenging":[42],"images":[43],"with":[44],"noisy":[45],"kernels.":[46],"adopt":[48],"the":[49,60,68,76,87,93],"Gaussian":[50],"Scale":[51],"Mixture":[52],"Fields":[53],"of":[54,109],"Experts":[55],"(GSM":[56],"FOE)":[57],"model":[58],"smoothness":[61],"constraint":[62],"as":[63],"prior,":[65],"use":[67],"iterative":[69],"re-weight":[70],"least-square":[71],"(IRLS)":[72],"produce":[75],"temporal":[77],"result.":[78],"The":[79,101],"residual":[80],"deconvolution":[81],"suite":[82],"is":[83],"used":[84],"restore":[86],"lost":[88],"denoise":[92],"result":[94],"using":[95],"our":[96],"std-controlled":[97],"cross":[98],"bilateral":[99],"filter.":[100],"experimental":[102],"much":[105],"better":[106],"than":[107],"those":[108],"previous":[110],"approaches.":[111]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
