{"id":"https://openalex.org/W1945245158","doi":"https://doi.org/10.1109/cvpr.2015.7298634","title":"Kernel fusion for better image deblurring","display_name":"Kernel fusion for better image deblurring","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1945245158","doi":"https://doi.org/10.1109/cvpr.2015.7298634","mag":"1945245158"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5022192060","display_name":"Long Mai","orcid":"https://orcid.org/0000-0001-8554-176X"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Long Mai","raw_affiliation_strings":["Portland State University","Portland State Univ, USA"],"affiliations":[{"raw_affiliation_string":"Portland State University","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"Portland State Univ, USA","institution_ids":["https://openalex.org/I126345244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415335","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0003-2648-9986"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Portland State University","Portland State Univ, USA"],"affiliations":[{"raw_affiliation_string":"Portland State University","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"Portland State Univ, USA","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022192060"],"corresponding_institution_ids":["https://openalex.org/I126345244"],"apc_list":null,"apc_paid":null,"fwci":3.5567,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95152023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9961000084877014,"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":0.9409427642822266},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7494770884513855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677026748657227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629149317741394},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5724408626556396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5331921577453613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4217202067375183},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.408061146736145},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.34825843572616577},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3011859655380249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21405106782913208}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9409427642822266},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7494770884513855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677026748657227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629149317741394},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5724408626556396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5331921577453613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4217202067375183},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.408061146736145},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.34825843572616577},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3011859655380249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21405106782913208},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.850.7681","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.850.7681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Mai_Kernel_Fusion_for_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6891346454","display_name":"II-NEW: An Infrastructure to Support Advanced Computational Stereoscopic Cinematography and System","funder_award_id":"1205746","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7399755539","display_name":"NeTS: Small: Supporting Next Generation Adaptive Multi-Lens Stereoscopic Video Streaming","funder_award_id":"1218589","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7490427636","display_name":"CGV: Small: Towards Computational Stereoscopic Cinematography","funder_award_id":"1321119","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W64052135","https://openalex.org/W158587707","https://openalex.org/W233979554","https://openalex.org/W1588663000","https://openalex.org/W1598281290","https://openalex.org/W1604428010","https://openalex.org/W1792921166","https://openalex.org/W1973567017","https://openalex.org/W1975807114","https://openalex.org/W1976730913","https://openalex.org/W1979725320","https://openalex.org/W1984541194","https://openalex.org/W1984859941","https://openalex.org/W2015015901","https://openalex.org/W2023594478","https://openalex.org/W2030108224","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2043529138","https://openalex.org/W2045260838","https://openalex.org/W2047123483","https://openalex.org/W2098535678","https://openalex.org/W2099628070","https://openalex.org/W2099770336","https://openalex.org/W2107979301","https://openalex.org/W2110671603","https://openalex.org/W2118205722","https://openalex.org/W2132244934","https://openalex.org/W2133957619","https://openalex.org/W2135238609","https://openalex.org/W2141115311","https://openalex.org/W2147298660","https://openalex.org/W2154194773","https://openalex.org/W2160016589","https://openalex.org/W2161008509","https://openalex.org/W2161804069","https://openalex.org/W2167053624","https://openalex.org/W2170820036","https://openalex.org/W2911964244","https://openalex.org/W6606497441","https://openalex.org/W6609069250","https://openalex.org/W6635100096","https://openalex.org/W6635527474","https://openalex.org/W6635845472","https://openalex.org/W6658772490","https://openalex.org/W6676319836","https://openalex.org/W6681807782","https://openalex.org/W6684919824"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3034770329","https://openalex.org/W4220831754","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2089488370","https://openalex.org/W2269775642"],"abstract_inverted_index":{"Kernel":[0],"estimation":[1],"for":[2],"image":[3,60,152],"deblurring":[4,61,153],"is":[5,20],"a":[6,10,52,71,161],"challenging":[7],"task":[8],"and":[9,87,100],"large":[11],"number":[12],"of":[13,43,136],"algorithms":[14],"have":[15],"been":[16],"developed.":[17],"Our":[18,143],"hypothesis":[19],"that":[21,56,77,102,146],"while":[22],"individual":[23,64,124],"kernels":[24,46,125,156],"estimated":[25,47],"using":[26,48,105],"different":[27,49],"methods":[28,50,159],"alone":[29],"are":[30,126],"sometimes":[31],"inadequate,":[32],"they":[33,89],"often":[34],"complement":[35],"each":[36,63,80,92,129],"other.":[37,93],"This":[38,112],"paper":[39],"addresses":[40],"the":[41,84,134],"problem":[42],"fusing":[44],"multiple":[45,140,158],"into":[51,160],"more":[53],"accurate":[54],"one":[55],"can":[57,149],"better":[58,162],"support":[59],"than":[62],"kernel.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"develop":[70],"data-driven":[72],"approach":[73],"to":[74,83],"kernel":[75,81,86,97,103,117,130,137,141],"fusion":[76,98,104,118,138],"learns":[78],"how":[79,88,123],"contributes":[82],"final":[85],"interact":[90],"with":[91],"We":[94],"discuss":[95],"various":[96],"models":[99,122],"find":[101],"Gaussian":[106,113],"Conditional":[107,114],"Random":[108,115],"Fields":[109],"performs":[110],"best.":[111],"Fields-based":[116],"method":[119,148],"not":[120],"only":[121],"fused":[127],"at":[128],"element":[131],"but":[132],"also":[133],"interaction":[135],"among":[139],"elements.":[142],"experiments":[144],"show":[145],"our":[147],"significantly":[150],"improve":[151],"by":[154],"combining":[155],"from":[157],"one.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
