{"id":"https://openalex.org/W2290950034","doi":"https://doi.org/10.1109/apsipa.2015.7415296","title":"Design of oversampled cosine-sine modulated filter banks for directional image representation","display_name":"Design of oversampled cosine-sine modulated filter banks for directional image representation","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2290950034","doi":"https://doi.org/10.1109/apsipa.2015.7415296","mag":"2290950034"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2015.7415296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5010813456","display_name":"Ryutaro Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryutaro Ogawa","raw_affiliation_strings":["Dept. of Information and Media Engineering, The University of Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Media Engineering, The University of Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070866771","display_name":"Seisuke Kyochi","orcid":"https://orcid.org/0000-0002-2383-0176"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seisuke Kyochi","raw_affiliation_strings":["Dept. of Information and Media Engineering, The University of Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Media Engineering, The University of Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083646987","display_name":"Taizo Suzuki","orcid":"https://orcid.org/0000-0002-9943-679X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taizo Suzuki","raw_affiliation_strings":["Faculty of Engineering, University of Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010813456"],"corresponding_institution_ids":["https://openalex.org/I17056963"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60815383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"e92 a","issue":null,"first_page":"370","last_page":"373"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9944000244140625,"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/redundancy","display_name":"Redundancy (engineering)","score":0.6707258224487305},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.6506183743476868},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6328004002571106},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.596339225769043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5532712340354919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5247847437858582},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4580146372318268},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.45617908239364624},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4446050524711609},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4320615231990814},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43159985542297363},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.429882287979126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4236508309841156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38680779933929443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3758024573326111},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3749033212661743},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3326683044433594},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.30479490756988525},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10453370213508606}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6707258224487305},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.6506183743476868},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6328004002571106},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.596339225769043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532712340354919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5247847437858582},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4580146372318268},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.45617908239364624},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4446050524711609},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4320615231990814},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43159985542297363},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.429882287979126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4236508309841156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38680779933929443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3758024573326111},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3749033212661743},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3326683044433594},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.30479490756988525},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10453370213508606},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2015.7415296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1481646516","https://openalex.org/W1658679052","https://openalex.org/W1983396674","https://openalex.org/W2018332268","https://openalex.org/W2036946259","https://openalex.org/W2037431188","https://openalex.org/W2069912449","https://openalex.org/W2073930611","https://openalex.org/W2115032519","https://openalex.org/W2117853853","https://openalex.org/W2129469131","https://openalex.org/W2155941280"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W2781247653","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W1969988626","https://openalex.org/W2141301039","https://openalex.org/W2548564146"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,21],"oversampled":[3],"cosine-sine":[4],"modulated":[5],"filter":[6,38],"bank":[7],"(OCSMFB)":[8],"for":[9,111],"richer":[10],"overcompleteness":[11],"contributing":[12],"sparse":[13],"directional":[14],"image":[15,43,69,125],"representation.":[16,70],"The":[17,121],"CSMFB,":[18],"proposed":[19],"as":[20],"alternative":[22],"of":[23,55,65,76,88,124],"the":[24,48,51,74,77,89,93,99,105,109,128,134],"dual-tree":[25],"complex":[26],"wavelet":[27],"transform":[28],"(DTCWT),":[29],"can":[30,40,130],"be":[31],"designed":[32],"easily":[33],"by":[34,80],"modulating":[35],"a":[36],"prototype":[37],"and":[39,59,67,84,98],"work":[41,131],"in":[42,101],"processing":[44],"tasks":[45],"better":[46,132],"than":[47,133],"DTCWT.":[49],"However,":[50],"conventional":[52,78],"CSMFB":[53,79],"consists":[54],"two":[56],"critically-sampled":[57],"FB,":[58],"its":[60],"non-redundancy":[61],"restricts":[62],"design":[63,87],"degree":[64],"freedom":[66],"overcomplete":[68],"This":[71],"paper":[72],"relaxes":[73],"redundancy":[75],"oversampling":[81],"each":[82],"CMFB":[83],"SMFB.":[85],"For":[86],"OC-SMFB,":[90],"we":[91],"present":[92],"perfect":[94],"reconstruction":[95],"(PR)":[96],"condition":[97],"parameterization,":[100],"order":[102],"to":[103],"satisfy":[104],"PR":[106],"structurally.":[107],"Moreover,":[108],"parameterization":[110],"structural":[112],"regularity,":[113],"which":[114],"provides":[115],"NO":[116],"DC":[117],"leakage,":[118],"is":[119],"discussed.":[120],"experimental":[122],"results":[123],"denoising":[126],"show":[127],"OCSMFB":[129],"CSMFB.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
