{"id":"https://openalex.org/W2016416716","doi":"https://doi.org/10.1109/icip.2010.5653819","title":"Locally adaptive regularized super-resolution on video with arbitrary motion","display_name":"Locally adaptive regularized super-resolution on video with arbitrary motion","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2016416716","doi":"https://doi.org/10.1109/icip.2010.5653819","mag":"2016416716"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5067502218","display_name":"Ivan Lee","orcid":"https://orcid.org/0000-0002-2826-6367"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I-Hsien Lee","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, PA, USA","Department of Electrical Engineering, Pennsylvania State University, State College, 16801, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, State College, 16801, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103346365","display_name":"Nirmal K. Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirmal K. Bose","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, PA, USA","Department of Electrical Engineering, Pennsylvania State University, State College, 16801, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, State College, 16801, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001492559","display_name":"Chih-Wei Lin","orcid":"https://orcid.org/0000-0002-9114-8152"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Lin","raw_affiliation_strings":["Advanced Technology Center, ICL, Industrial Technology and Research Institute, Hsinchu, Taiwan","Advanced Technology Center, ICL, Industrial Technology Research Institute, Hsin-Chu 300, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technology Center, ICL, Industrial Technology and Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Advanced Technology Center, ICL, Industrial Technology Research Institute, Hsin-Chu 300, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210148468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6458,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69688362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2006","issue":null,"first_page":"897","last_page":"900"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9929999709129333,"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/regularization","display_name":"Regularization (linguistics)","score":0.7751868963241577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699245810508728},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6417877078056335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6078138947486877},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5704306364059448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5548758506774902},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5274622440338135},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.4961908459663391},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4530276656150818},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4230739176273346},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4209512770175934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3976896405220032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35281866788864136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2559739351272583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20780757069587708},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1005176305770874}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7751868963241577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699245810508728},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6417877078056335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6078138947486877},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5704306364059448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5548758506774902},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5274622440338135},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.4961908459663391},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4530276656150818},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4230739176273346},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4209512770175934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3976896405220032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35281866788864136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2559739351272583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20780757069587708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1005176305770874},{"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.2010.5653819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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":10,"referenced_works":["https://openalex.org/W2006262236","https://openalex.org/W2115548755","https://openalex.org/W2123142395","https://openalex.org/W2125325064","https://openalex.org/W2143013969","https://openalex.org/W2146238954","https://openalex.org/W2165939075","https://openalex.org/W2170243041","https://openalex.org/W2170600821","https://openalex.org/W6684978970"],"related_works":["https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W4254199101","https://openalex.org/W1670153145","https://openalex.org/W2321705976","https://openalex.org/W4236907339","https://openalex.org/W2784452928","https://openalex.org/W1496347422","https://openalex.org/W2410448013"],"abstract_inverted_index":{"Regularization":[0],"based":[1,53],"super-resolution":[2,58],"(SR)":[3],"methods":[4],"have":[5],"been":[6],"widely":[7],"used":[8],"to":[9,56],"improve":[10,57],"video":[11,36,64],"resolution":[12,28],"in":[13,62,71],"recent":[14],"years.":[15],"These":[16],"methods,":[17,55],"however,":[18],"only":[19],"minimize":[20],"the":[21,78],"sum":[22],"of":[23],"difference":[24],"between":[25],"acquired":[26],"low":[27],"(LR)":[29],"images":[30],"and":[31,68],"observation":[32],"model":[33],"without":[34],"considering":[35],"local":[37],"structure.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"proposed":[43,79],"an":[44],"idea,":[45],"which":[46],"employs":[47],"adaptive":[48,100],"kernel":[49,101],"regression":[50,102],"on":[51],"regularization":[52],"SR":[54],"performance.":[59],"Arbitrary":[60],"motions":[61],"input":[63],"are":[65],"also":[66],"considered":[67],"well":[69,87],"modeled":[70],"our":[72],"work.":[73],"It":[74],"is":[75],"shown":[76],"that":[77],"idea":[80],"can":[81],"provide":[82],"better":[83],"visual":[84],"quality":[85],"as":[86,88],"higher":[89],"Peak":[90],"Signal-to-Noise":[91],"Ratio":[92],"(PSNR)":[93],"than":[94],"approaches":[95],"using":[96],"regularized":[97],"scheme":[98],"or":[99],"alone.":[103]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}