{"id":"https://openalex.org/W2042814214","doi":"https://doi.org/10.1117/12.2084585","title":"Motion deblurring with graph Laplacian regularization","display_name":"Motion deblurring with graph Laplacian regularization","publication_year":2015,"publication_date":"2015-02-27","ids":{"openalex":"https://openalex.org/W2042814214","doi":"https://doi.org/10.1117/12.2084585","mag":"2042814214"},"language":"en","primary_location":{"id":"doi:10.1117/12.2084585","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2084585","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065654335","display_name":"Amin Kheradmand","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amin Kheradmand","raw_affiliation_strings":["Univ. of California, Santa Cruz (United States)","University of California, Santa Cruz (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of California, Santa Cruz (United States)","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"University of California, Santa Cruz (United States)","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002085979","display_name":"Peyman Milanfar","orcid":"https://orcid.org/0000-0003-1455-7662"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peyman Milanfar","raw_affiliation_strings":["Univ. of California, Santa Cruz (United States)","University of California, Santa Cruz (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of California, Santa Cruz (United States)","institution_ids":["https://openalex.org/I185103710"]},{"raw_affiliation_string":"University of California, Santa Cruz (United States)","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":0.2704,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57428419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9404","issue":null,"first_page":"94040C","last_page":"94040C"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9514011144638062},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.7637335062026978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879828333854675},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.579813539981842},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5289160013198853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5262640714645386},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4976339638233185},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4065113067626953},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38235336542129517},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3272249698638916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32538071274757385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2786990702152252},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20994162559509277},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20436453819274902},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18599197268486023},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0878133773803711}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9514011144638062},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.7637335062026978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879828333854675},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.579813539981842},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5289160013198853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5262640714645386},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4976339638233185},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4065113067626953},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38235336542129517},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3272249698638916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32538071274757385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2786990702152252},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20994162559509277},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20436453819274902},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18599197268486023},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0878133773803711},{"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:10.1117/12.2084585","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2084585","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":40,"referenced_works":["https://openalex.org/W158587707","https://openalex.org/W1578099820","https://openalex.org/W1598936309","https://openalex.org/W1895520453","https://openalex.org/W1963816084","https://openalex.org/W1976730913","https://openalex.org/W1978333359","https://openalex.org/W1988446025","https://openalex.org/W1994321112","https://openalex.org/W1997512358","https://openalex.org/W1998419211","https://openalex.org/W2003447360","https://openalex.org/W2053189442","https://openalex.org/W2056370875","https://openalex.org/W2091494211","https://openalex.org/W2095106682","https://openalex.org/W2102368172","https://openalex.org/W2110061212","https://openalex.org/W2130754596","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2141115311","https://openalex.org/W2142263374","https://openalex.org/W2147298660","https://openalex.org/W2154571593","https://openalex.org/W2166235716","https://openalex.org/W4206789359","https://openalex.org/W4213372157","https://openalex.org/W4232607841","https://openalex.org/W4238314581","https://openalex.org/W4241528068","https://openalex.org/W4246045957","https://openalex.org/W4246327874","https://openalex.org/W6639630648","https://openalex.org/W6644726133","https://openalex.org/W6648764181","https://openalex.org/W6676263335","https://openalex.org/W6679536919","https://openalex.org/W6681324323","https://openalex.org/W6681807782"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2066650801","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2359633702"],"abstract_inverted_index":{"In":[0],"this":[1,50],"paper,":[2],"we":[3],"develop":[4],"a":[5,13,23,58],"regularization":[6,66],"framework":[7],"for":[8,104],"image":[9],"deblurring":[10,73],"based":[11],"on":[12],"new":[14,51],"definition":[15,52],"of":[16,53,62,94,107,115],"the":[17,28,34,42,54,70,82,91,95,101,108,113],"normalized":[18,43],"graph":[19],"Laplacian.":[20],"We":[21,48,111],"apply":[22],"fast":[24],"scaling":[25],"algorithm":[26,118],"to":[27,32,56,68],"kernel":[29],"similarity":[30],"matrix":[31,39,45,97],"derive":[33],"symmetric,":[35],"doubly":[36],"stochastic":[37],"filtering":[38],"from":[40],"which":[41],"Laplacian":[44,55,96],"is":[46,78],"built.":[47],"use":[49],"construct":[57],"cost":[59,84],"function":[60,85],"consisting":[61],"data":[63],"fidelity":[64],"and":[65,121],"terms":[67],"solve":[69],"ill-posed":[71],"motion":[72],"problem.":[74],"The":[75],"final":[76],"estimate":[77],"obtained":[79],"by":[80],"minimizing":[81],"resulting":[83],"in":[86],"an":[87],"iterative":[88,117],"manner.":[89],"Furthermore,":[90],"spectral":[92,105],"properties":[93],"equip":[98],"us":[99],"with":[100],"required":[102],"tools":[103],"analysis":[106],"proposed":[109],"method.":[110],"verify":[112],"effectiveness":[114],"our":[116],"via":[119],"synthetic":[120],"real":[122],"examples.":[123]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
