{"id":"https://openalex.org/W1974044747","doi":"https://doi.org/10.1109/icassp.2010.5495224","title":"Empirical Type-i filter design for image interpolation","display_name":"Empirical Type-i filter design for image interpolation","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1974044747","doi":"https://doi.org/10.1109/icassp.2010.5495224","mag":"1974044747"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495224","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 Acoustics, Speech and Signal Processing","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/A5110791031","display_name":"Karl Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Ni","raw_affiliation_strings":["MIT Lincoln Laboratories, USA","University of California, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratories, USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["University of California, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0617872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"866","last_page":"869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/filter","display_name":"Filter (signal processing)","score":0.671495795249939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636989116668701},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.6611430644989014},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6416144967079163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49849581718444824},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4614045023918152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4316946268081665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723732531070709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28394967317581177}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.671495795249939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636989116668701},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.6611430644989014},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6416144967079163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49849581718444824},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4614045023918152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4316946268081665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723732531070709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28394967317581177},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495224","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 Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.461.7285","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.461.7285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://videoprocessing.ucsd.edu/publications/Year_2010/2010_04_Ni.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1658679052","https://openalex.org/W1983104569","https://openalex.org/W2128190441","https://openalex.org/W2132074240","https://openalex.org/W2172128189"],"related_works":["https://openalex.org/W2390004645","https://openalex.org/W2369001708","https://openalex.org/W2029959729","https://openalex.org/W303963093","https://openalex.org/W1489991992","https://openalex.org/W1989175590","https://openalex.org/W1804581352","https://openalex.org/W2095558912","https://openalex.org/W2375632876","https://openalex.org/W2371859526"],"abstract_inverted_index":{"Empirical":[0],"filter":[1,34,56,122],"designs":[2],"generalize":[3],"relationships":[4],"inferred":[5],"from":[6,128],"training":[7,61,113,130],"data":[8],"to":[9,16],"effect":[10],"realistic":[11],"solutions":[12],"that":[13,50],"conform":[14],"well":[15,81],"the":[17,43,68,115,118,129,135,138,149],"human":[18],"visual":[19],"system.":[20],"Complex":[21],"algorithms":[22,86],"involving":[23],"multiple":[24],"linear":[25,55],"regressions":[26],"produce":[27],"optimal":[28],"results,":[29],"but":[30],"a":[31,40,52,64,95],"single":[32,53],"zero-phase":[33,77],"yields":[35],"comparable":[36],"image":[37,112],"quality":[38],"at":[39],"fraction":[41],"of":[42,76,120,137,148],"computational":[44],"load.":[45],"We":[46],"propose":[47],"an":[48,99],"algorithm":[49,93,151],"builds":[51],"symmetrical":[54,97],"based":[57],"purely":[58],"on":[59,106],"collected":[60],"data.":[62],"Such":[63],"filtering":[65],"technique":[66],"balances":[67],"tradeoff":[69],"between":[70],"performance":[71],"and":[72,89,101,143],"complexity.":[73],"Previous":[74],"implementations":[75],"interpolation":[78],"filters":[79],"as":[80,82],"other":[83],"learning-based":[84],"interpolating":[85,109],"are":[87,152],"analyzed":[88],"examined.":[90],"The":[91],"proposed":[92,150],"utilizes":[94],"Type-I":[96],"filter,":[98,140],"improvement":[100],"alternative":[102],"over":[103],"previous":[104],"work":[105,116],"Type-II":[107],"empirically-based":[108],"filters.":[110],"Given":[111],"patches,":[114],"discusses":[117],"enforcement":[119],"our":[121],"properties":[123],"while":[124],"simultaneously":[125],"drawing":[126],"information":[127],"set.":[131],"Additionally,":[132],"we":[133],"describe":[134],"implementation":[136],"designed":[139],"its":[141],"application,":[142],"related":[144],"considerations.":[145],"Finally,":[146],"advantages":[147],"analyzed.":[153]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
