{"id":"https://openalex.org/W2013259139","doi":"https://doi.org/10.1142/s0219691303000128","title":"Optimal Wavelet Filters for Medical Image Compression","display_name":"Optimal Wavelet Filters for Medical Image Compression","publication_year":2003,"publication_date":"2003-06-01","ids":{"openalex":"https://openalex.org/W2013259139","doi":"https://doi.org/10.1142/s0219691303000128","mag":"2013259139"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691303000128","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691303000128","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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/A5061174839","display_name":"Yin Fen Low","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Yin Fen Low","raw_affiliation_strings":["Faculty of Engineering and Technology, Multimedia University, Jln Air Keroh Lama, 75450 Melaka, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Multimedia University, Jln Air Keroh Lama, 75450 Melaka, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041343291","display_name":"Rosli Besar","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rosli Besar","raw_affiliation_strings":["Faculty of Engineering and Technology, Multimedia University, Jln Air Keroh Lama, 75450 Melaka, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, Multimedia University, Jln Air Keroh Lama, 75450 Melaka, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061174839"],"corresponding_institution_ids":["https://openalex.org/I173029219"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56060717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"01","issue":"02","first_page":"179","last_page":"197"},"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":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976999759674072,"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/wavelet","display_name":"Wavelet","score":0.8343181610107422},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6438015699386597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352502703666687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5579596161842346},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5565817356109619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5309654474258423},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5099219083786011},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.46679574251174927},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45445728302001953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44294214248657227},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4267386794090271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3507433831691742},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28109562397003174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25883811712265015}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8343181610107422},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6438015699386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352502703666687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5579596161842346},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5565817356109619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5309654474258423},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5099219083786011},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.46679574251174927},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45445728302001953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44294214248657227},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4267386794090271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3507433831691742},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28109562397003174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25883811712265015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691303000128","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691303000128","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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/W624128166","https://openalex.org/W1517916370","https://openalex.org/W2046553185","https://openalex.org/W2099778990","https://openalex.org/W2101062116","https://openalex.org/W2118048304","https://openalex.org/W2144520790","https://openalex.org/W2146378993","https://openalex.org/W2148593155","https://openalex.org/W2153777140","https://openalex.org/W2169781362","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2380372197","https://openalex.org/W68308810","https://openalex.org/W2053682625","https://openalex.org/W1986475093","https://openalex.org/W2085792030","https://openalex.org/W2076239227","https://openalex.org/W2754441293","https://openalex.org/W1506615375","https://openalex.org/W2144408025","https://openalex.org/W1917032666"],"abstract_inverted_index":{"Recently,":[0],"the":[1,12,22,39,45,77,110],"wavelet":[2,23,35,87,135],"transform":[3,24],"has":[4],"emerged":[5],"as":[6,27],"a":[7,31,84,96],"cutting":[8],"edge":[9],"technology,":[10],"within":[11],"field":[13],"of":[14,21,33,41,69,83,86,112,140],"image":[15,62,91,100,114,128],"compression":[16,63,101],"research.":[17],"The":[18,56,67],"basis":[19],"functions":[20,36,88],"are":[25,30,49,64],"known":[26],"wavelets.":[28],"There":[29],"variety":[32],"different":[34,42,103],"to":[37,73,90,109,120],"suit":[38],"needs":[40],"applications.":[43],"Among":[44],"most":[46],"popular":[47],"wavelets":[48,58],"Haar,":[50],"Daubechies,":[51],"Coiflet":[52],"and":[53,75,81,124],"Biorthogonal,":[54],"etc.":[55],"best":[57],"(functions)":[59],"for":[60,93,137],"medical":[61,99,113,141],"widely":[65],"unknown.":[66],"purpose":[68],"this":[70],"paper":[71],"is":[72],"examine":[74],"compare":[76],"difference":[78],"in":[79,95],"impact":[80],"quality":[82,92],"set":[85],"(wavelets)":[89],"implementation":[94],"digitized":[97],"still":[98],"with":[102],"modalities.":[104],"We":[105],"used":[106],"two":[107],"approaches":[108],"measurement":[111],"quality:":[115],"objectively,":[116],"using":[117,126],"peak":[118],"signal":[119],"noise":[121],"ratio":[122],"(PSNR)":[123],"subjectively,":[125],"perceived":[127],"quality.":[129],"Finally,":[130],"we":[131],"defined":[132],"an":[133],"optimal":[134],"filter":[136],"each":[138],"modality":[139],"image.":[142]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
