{"id":"https://openalex.org/W2120502240","doi":"https://doi.org/10.1109/icip.2005.1530201","title":"Reducing aliasing in wavelets based downsampling for improved resolution scalability","display_name":"Reducing aliasing in wavelets based downsampling for improved resolution scalability","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2120502240","doi":"https://doi.org/10.1109/icip.2005.1530201","mag":"2120502240"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5035952586","display_name":"Charith Abhayaratne","orcid":"https://orcid.org/0000-0002-2799-7395"},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"G.C.K. Abhayaratne","raw_affiliation_strings":["Department of Electronic Engineering, Queen Mary, University of London, London, UK","Dept. of Electron. Eng., London Univ., , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Queen Mary, University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Dept. of Electron. Eng., London Univ., , UK","institution_ids":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035952586"],"corresponding_institution_ids":["https://openalex.org/I124357947","https://openalex.org/I166337079","https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.513,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63001736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression 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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8598843812942505},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.8193651437759399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6808785796165466},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.669212818145752},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6646363735198975},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5520395636558533},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.5484805107116699},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5475099086761475},{"id":"https://openalex.org/keywords/anti-aliasing","display_name":"Anti-aliasing","score":0.5357733368873596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5311658978462219},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47626087069511414},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4276212453842163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36376938223838806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30622732639312744},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2208455204963684},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08858591318130493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0879318118095398}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8598843812942505},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8193651437759399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808785796165466},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.669212818145752},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6646363735198975},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5520395636558533},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.5484805107116699},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5475099086761475},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.5357733368873596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5311658978462219},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47626087069511414},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4276212453842163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36376938223838806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30622732639312744},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2208455204963684},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08858591318130493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0879318118095398},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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":14,"referenced_works":["https://openalex.org/W1510492785","https://openalex.org/W1550655357","https://openalex.org/W2062399876","https://openalex.org/W2130630043","https://openalex.org/W2132573196","https://openalex.org/W2135805454","https://openalex.org/W2142276208","https://openalex.org/W2155310766","https://openalex.org/W2159707323","https://openalex.org/W2164766809","https://openalex.org/W2561863383","https://openalex.org/W4256117910","https://openalex.org/W6633170089","https://openalex.org/W6683981898"],"related_works":["https://openalex.org/W2170324683","https://openalex.org/W2382000403","https://openalex.org/W1652270319","https://openalex.org/W2131820784","https://openalex.org/W2379888591","https://openalex.org/W2386254963","https://openalex.org/W4313343711","https://openalex.org/W2391609463","https://openalex.org/W2152123380","https://openalex.org/W3185927242"],"abstract_inverted_index":{"In":[0,37],"wavelets":[1],"based":[2],"coding":[3],"applications,":[4],"resolution":[5,20],"scalability":[6],"is":[7,29,52,70,89,119],"achieved":[8],"by":[9,62],"retaining":[10],"the":[11,18,45,73,79,92,107,115,122,129,134],"low":[12,46,84,100],"pass":[13,25,47,85,101],"signal":[14,109],"subband":[15],"corresponds":[16],"to":[17,97,106],"required":[19],"and":[21],"discarding":[22],"other":[23],"high":[24],"wavelet":[26,132],"subbands.":[27],"Aliasing":[28],"a":[30,40],"common":[31],"problem":[32],"present":[33],"in":[34],"such":[35],"downsampling.":[36],"this":[38],"paper":[39],"novel":[41],"technique":[42],"for":[43,49,91,114],"improving":[44],"filter":[48,102,112],"improved":[50],"downsampling":[51],"presented.":[53],"This":[54],"method":[55],"uses":[56],"an":[57,98],"extra":[58,135],"update":[59,68,75,94,117,137],"step":[60,69,76,118,138],"followed":[61],"P+U":[63],"lifting":[64],"scheme.":[65],"The":[66,81,111],"preprocessing":[67],"chosen":[71],"as":[72],"dual":[74],"associated":[77],"with":[78,133],"wavelet.":[80],"spatially":[82],"adaptive":[83],"(SALP)":[86],"filtering":[87],"concept":[88],"used":[90],"second":[93,116],"step,":[95],"leading":[96],"overall":[99],"whose":[103],"size":[104],"adapts":[105],"underlying":[108],"content.":[110],"choices":[113],"recovered":[120],"at":[121],"decoder":[123],"without":[124],"any":[125],"bookkeeping.":[126],"Results":[127],"using":[128],"2D":[130],"5/3":[131],"pre-processing":[136],"show":[139],"improvements":[140],"over":[141],"conventional":[142],"wavelets.":[143]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
