{"id":"https://openalex.org/W1988906885","doi":"https://doi.org/10.1155/2010/398385","title":"Contourlet Filter Design Based on Chebyshev Best Uniform Approximation","display_name":"Contourlet Filter Design Based on Chebyshev Best Uniform Approximation","publication_year":2010,"publication_date":"2010-04-27","ids":{"openalex":"https://openalex.org/W1988906885","doi":"https://doi.org/10.1155/2010/398385","mag":"1988906885"},"language":"en","primary_location":{"id":"doi:10.1155/2010/398385","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/398385","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/398385","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/398385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058570015","display_name":"Yongqing Yang","orcid":"https://orcid.org/0000-0003-2414-2719"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoan Yang","raw_affiliation_strings":["School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101609182","display_name":"Xiaofeng Fang","orcid":"https://orcid.org/0000-0001-8961-3150"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Fang","raw_affiliation_strings":["School of Science, Xi'an Jiaotong University, Xi'an, 710049, China","[School of Science, Xi'an Jiaotong University, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi'an Jiaotong University, Xi'an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"[School of Science, Xi'an Jiaotong University, Xi'an, China]","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011295888","display_name":"Mingli Jing","orcid":"https://orcid.org/0000-0002-4703-1133"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingli Jing","raw_affiliation_strings":["School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078540501","display_name":"Songjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songjun Zhang","raw_affiliation_strings":["School of Science, Xi'an Jiaotong University, Xi'an, 710049, China","[School of Science, Xi'an Jiaotong University, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Xi'an Jiaotong University, Xi'an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"[School of Science, Xi'an Jiaotong University, Xi'an, China]","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045210068","display_name":"Ming Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Hou","raw_affiliation_strings":["School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronics and Informations, Xi'an Jiaotong University, Xi'an, China#TAB#","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058570015"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.3228,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57272802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2010","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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/contourlet","display_name":"Contourlet","score":0.9919107556343079},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6166110038757324},{"id":"https://openalex.org/keywords/chebyshev-filter","display_name":"Chebyshev filter","score":0.5763051509857178},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5418821573257446},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.54042649269104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5095832347869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5020501613616943},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5011336803436279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4705624580383301},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43038955330848694},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3949844539165497},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3859219253063202},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3831455707550049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3820759356021881}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9919107556343079},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6166110038757324},{"id":"https://openalex.org/C21424316","wikidata":"https://www.wikidata.org/wiki/Q718621","display_name":"Chebyshev filter","level":2,"score":0.5763051509857178},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5418821573257446},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.54042649269104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5095832347869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5020501613616943},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5011336803436279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4705624580383301},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43038955330848694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3949844539165497},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3859219253063202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3831455707550049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3820759356021881}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2010/398385","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/398385","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/398385","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b6493209e25a494f8006de71415f9a95","is_oa":true,"landing_page_url":"https://doaj.org/article/b6493209e25a494f8006de71415f9a95","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2010/398385","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/398385","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/398385","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1988906885.pdf","grobid_xml":"https://content.openalex.org/works/W1988906885.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1485280399","https://openalex.org/W1525492201","https://openalex.org/W1573905577","https://openalex.org/W1971103086","https://openalex.org/W1996021349","https://openalex.org/W2088498643","https://openalex.org/W2098914003","https://openalex.org/W2101789093","https://openalex.org/W2105464873","https://openalex.org/W2107790757","https://openalex.org/W2115755118","https://openalex.org/W2117853853","https://openalex.org/W2118799423","https://openalex.org/W2119755031","https://openalex.org/W2120041316","https://openalex.org/W2121570046","https://openalex.org/W2125401520","https://openalex.org/W2128989367","https://openalex.org/W2129276048","https://openalex.org/W2131133837","https://openalex.org/W2132984323","https://openalex.org/W2134929491","https://openalex.org/W2144932102","https://openalex.org/W2146846625","https://openalex.org/W2148593155","https://openalex.org/W2149072817","https://openalex.org/W2152670243","https://openalex.org/W2169894018","https://openalex.org/W3005363104"],"related_works":["https://openalex.org/W2039333314","https://openalex.org/W2000916193","https://openalex.org/W2100822251","https://openalex.org/W4244272801","https://openalex.org/W2559228737","https://openalex.org/W2114406968","https://openalex.org/W2352252759","https://openalex.org/W2030111171","https://openalex.org/W1551719041","https://openalex.org/W2118799423"],"abstract_inverted_index":{"The":[0,131],"contourlet":[1,29,50,73,108,123],"transform":[2,109],"can":[3],"deal":[4],"effectively":[5],"with":[6,85,161,181],"images":[7],"which":[8,22],"have":[9],"directional":[10],"information":[11],"such":[12],"as":[13,177,179],"contour":[14],"and":[15,88,116,168,173,189],"texture.":[16],"In":[17,93],"contrast":[18],"to":[19],"wavelets":[20],"for":[21,32,47,59],"there":[23],"exists":[24],"many":[25],"good":[26,178],"filters,":[27],"the":[28,49,54,72,79,96,101,107,111,117,122,136,140,165,182],"filter":[30,51,83,103,113,159],"design":[31,77],"image":[33,63,118,142],"processing":[34],"applications":[35,65,120],"is":[36,150],"still":[37],"an":[38,45,61],"ongoing":[39],"work.":[40],"Therefore,":[41],"this":[42,94],"paper":[43],"presents":[44],"approach":[46],"designing":[48],"based":[52],"on":[53,164],"Chebyshev":[55],"best":[56],"uniform":[57],"approximation":[58],"achieving":[60],"efficient":[62],"denoising":[64,119,137],"using":[66,110,156],"hidden":[67,124],"Markov":[68,125],"tree":[69,126],"models":[70],"in":[71,106,121,144],"domain.":[74],"Here,":[75],"we":[76],"both":[78],"optimal":[80],"9/7":[81,158],"wavelet":[82],"banks":[84,104,114,160],"rational":[86],"coefficients":[87,163],"new":[89],"pkva":[90,170],"12":[91,171],"filter.":[92],"paper,":[95],"Laplacian":[97],"pyramid":[98],"followed":[99],"by":[100,152],"direction":[102],"decomposition":[105],"two":[112],"above":[115],"model":[127],"are":[128,176],"implemented,":[129],"respectively.":[130],"experimental":[132],"results":[133,184],"show":[134],"that":[135],"performance":[138],"of":[139,146,185],"test":[141],"Zelda":[143],"terms":[145],"peak":[147],"signal-to-noise":[148],"ratio":[149],"improved":[151],"0.33":[153],"dB":[154],"than":[155],"CDF":[157],"irrational":[162],"JPEG2000":[166],"standard":[167,169],"filter,":[172],"visual":[174],"effects":[175],"compared":[180],"research":[183],"Duncan":[186],"D.-Y.":[187],"Po":[188],"Minh":[190],"N.":[191],"Do.":[192]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
