{"id":"https://openalex.org/W1549862505","doi":"https://doi.org/10.1109/mmsp.2002.1203244","title":"Fast DCT-domain filtering using frequency division processing","display_name":"Fast DCT-domain filtering using frequency division processing","publication_year":2004,"publication_date":"2004-01-23","ids":{"openalex":"https://openalex.org/W1549862505","doi":"https://doi.org/10.1109/mmsp.2002.1203244","mag":"1549862505"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2002.1203244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2002.1203244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Workshop on Multimedia Signal 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/A5100386801","display_name":"Dongxu Li","orcid":"https://orcid.org/0000-0002-9701-5377"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Li","raw_affiliation_strings":["Philips Research, Briarcliff Manor, NY, USA"],"affiliations":[{"raw_affiliation_string":"Philips Research, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085622001","display_name":"Ishwar K. Sethi","orcid":"https://orcid.org/0000-0002-2578-111X"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I.K. Sethi","raw_affiliation_strings":["Intelligent Information Engineering Laboratory, Oakland University, Rochester, MI, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Engineering Laboratory, Oakland University, Rochester, MI, USA","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017119312","display_name":"Nevenka Dimitrova","orcid":"https://orcid.org/0000-0003-4091-9233"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Dimitrova","raw_affiliation_strings":["Philips Research, Briarcliff Manor, NY, USA"],"affiliations":[{"raw_affiliation_string":"Philips Research, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100386801"],"corresponding_institution_ids":["https://openalex.org/I4210131230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08122101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"45","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9972000122070312,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8402292728424072},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7213379144668579},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6999424695968628},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6810712814331055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6383010745048523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6351519227027893},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5383236408233643},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.42994657158851624},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.41168013215065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28203511238098145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2761804461479187},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.2526897192001343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2463224232196808},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1699625551700592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1349293291568756},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.07110604643821716},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06263560056686401}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8402292728424072},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7213379144668579},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6999424695968628},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6810712814331055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6383010745048523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351519227027893},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5383236408233643},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.42994657158851624},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.41168013215065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28203511238098145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2761804461479187},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2526897192001343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2463224232196808},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1699625551700592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1349293291568756},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.07110604643821716},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06263560056686401},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2002.1203244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2002.1203244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE Workshop on Multimedia Signal Processing.","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":12,"referenced_works":["https://openalex.org/W1633843876","https://openalex.org/W1706111048","https://openalex.org/W1974118145","https://openalex.org/W2048364148","https://openalex.org/W2077173713","https://openalex.org/W2099381966","https://openalex.org/W2104098931","https://openalex.org/W2128143396","https://openalex.org/W2163207124","https://openalex.org/W3014768704","https://openalex.org/W6637251822","https://openalex.org/W6675875068"],"related_works":["https://openalex.org/W2267589039","https://openalex.org/W2369791303","https://openalex.org/W4372260258","https://openalex.org/W2133280289","https://openalex.org/W2360069155","https://openalex.org/W2759540840","https://openalex.org/W2169963286","https://openalex.org/W4254230825","https://openalex.org/W2919798019","https://openalex.org/W2159795102"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,22,50,113],"new":[4],"scheme":[5],"for":[6,54,91,98],"the":[7,25,108,119],"development":[8],"of":[9,35,43,64,121],"efficient":[10,72],"DCT-domain":[11,52],"algorithms":[12,77],"based":[13],"on":[14,40],"frequency":[15],"division":[16],"processing":[17],"(FDP).":[18],"In":[19,102],"this":[20],"scheme,":[21],"manipulation":[23],"in":[24,107],"DCT":[26,44],"domain":[27,110],"is":[28,37,70,87],"decomposed":[29],"into":[30],"multiple":[31],"simple":[32],"operations,":[33],"each":[34],"which":[36],"performed":[38,105],"independently":[39],"certain":[41],"sets":[42],"coefficients.":[45],"Using":[46],"FDP":[47],"we":[48],"designed":[49],"fast":[51],"algorithm":[53],"two-dimensional":[55],"convolution.":[56],"The":[57,85],"algorithm,":[58],"according":[59],"to":[60,118],"both":[61],"theoretical":[62],"analysis":[63],"computational":[65],"complexity":[66],"and":[67,96],"experimental":[68],"results,":[69],"more":[71],"than":[73],"traditional":[74],"spatial-domain":[75],"convolution":[76,83,104],"as":[78,80],"well":[79],"other":[81],"compressed-domain":[82],"algorithms.":[84],"performance":[86],"several":[88],"times":[89],"higher":[90,115],"kernel":[92,100],"size":[93],"beyond":[94],"5":[95],"comparable":[97],"smaller":[99],"size.":[101],"addition,":[103],"directly":[106],"compressed":[109],"can":[111],"achieve":[112],"slightly":[114],"precision":[116],"due":[117],"removal":[120],"decompression":[122],"artifacts.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
