{"id":"https://openalex.org/W2167658999","doi":"https://doi.org/10.1109/icpr.2008.4761416","title":"Image deblurring with blur kernel estimation from a reference image patch","display_name":"Image deblurring with blur kernel estimation from a reference image patch","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2167658999","doi":"https://doi.org/10.1109/icpr.2008.4761416","mag":"2167658999"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761416","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5101588677","display_name":"Po-Hao Huang","orcid":"https://orcid.org/0000-0001-6214-2977"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Po-Hao Huang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027992538","display_name":"Yu-Mo Lin","orcid":"https://orcid.org/0009-0006-8898-739X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Mo Lin","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073849580","display_name":"Shang\u2010Hong Lai","orcid":"https://orcid.org/0000-0002-5092-993X"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shang-Hong Lai","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101588677"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.2949,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77837259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9445368051528931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7974605560302734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7712485790252686},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6998112797737122},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6071366667747498},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.5746458172798157},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.573199987411499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723986029624939},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4698176681995392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4610542356967926},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4344022572040558},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43183454871177673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36088311672210693},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23167908191680908}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9445368051528931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7974605560302734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7712485790252686},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6998112797737122},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6071366667747498},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.5746458172798157},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.573199987411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723986029624939},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4698176681995392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4610542356967926},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4344022572040558},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43183454871177673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36088311672210693},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23167908191680908},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761416","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.3273","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.3273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuAT10.36.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2004922133","https://openalex.org/W2027231794","https://openalex.org/W2053602555","https://openalex.org/W2095727488","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2100983860","https://openalex.org/W2137382111","https://openalex.org/W2165949425","https://openalex.org/W2170069058","https://openalex.org/W2170608748","https://openalex.org/W3137059050","https://openalex.org/W4206610958","https://openalex.org/W4236771684","https://openalex.org/W6675076767","https://openalex.org/W6685215316"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960","https://openalex.org/W2905397092","https://openalex.org/W2359633702"],"abstract_inverted_index":{"In":[0,61],"this":[1],"paper,":[2],"we":[3,65],"propose":[4,50],"a":[5,118],"new":[6],"approach":[7],"for":[8,55,86],"image":[9,38,82,128],"deblurring":[10],"from":[11,127],"two":[12,95,115],"images,":[13],"non-blurred":[14],"and":[15,49,58,78],"blurred,":[16],"in":[17,26,46,90],"different":[18],"poses":[19],"by":[20],"exploiting":[21],"the":[22,32,36,42,62,67,73,80,91,102,110,114],"co-existing":[23,43],"planar":[24,44],"object":[25],"both":[27,47],"views.":[28],"We":[29],"focus":[30],"on":[31,132],"problem":[33],"of":[34],"aligning":[35],"corresponding":[37],"patches,":[39,77],"which":[40],"are":[41,84,97,135],"object,":[45],"images":[48,116,126,134],"an":[51,121],"iterative":[52],"two-stage":[53],"algorithm":[54,104],"patch":[56],"alignment":[57,69],"kernel":[59,88],"estimation.":[60],"first":[63],"stage,":[64],"extend":[66],"intensity-based":[68],"method":[70],"to":[71,137],"find":[72],"geometric":[74,111],"transformation":[75],"between":[76,113],"then":[79],"aligned":[81],"patches":[83],"used":[85,108],"blur":[87],"estimation":[89],"second":[92],"stage.":[93],"These":[94],"stages":[96],"repeated":[98],"until":[99],"convergence.":[100],"Furthermore,":[101],"proposed":[103],"can":[105],"also":[106],"be":[107],"when":[109],"relationship":[112],"is":[117],"homography":[119],"or":[120],"approximate":[122],"homography,":[123],"such":[124],"as":[125],"mosaic.":[129],"Experimental":[130],"results":[131],"real":[133],"given":[136],"demonstrate":[138],"its":[139],"performance.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
