乐胖代购免代理版

{"id":"https://openalex.org/W2791267851","doi":"https://doi.org/10.1049/iet-ipr.2017.0935","title":"Factoring two\u2010dimensional two\u2010channel non\u2010separable stripe filter banks into lifting steps","display_name":"Factoring two\u2010dimensional two\u2010channel non\u2010separable stripe filter banks into lifting steps","publication_year":2018,"publication_date":"2018-02-23","ids":{"openalex":"https://openalex.org/W2791267851","doi":"https://doi.org/10.1049/iet-ipr.2017.0935","mag":"2791267851"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2017.0935","pdf_url":"https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2017.0935","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2017.0935","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100395583","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0003-2543-4051"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Computer and Information Engineering, Hubei University, Wuhan, 430062 People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Hubei University, Wuhan, 430062 People's Republic of China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668786","display_name":"Weijie Liu","orcid":"https://orcid.org/0000-0002-8023-9913"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Liu","raw_affiliation_strings":["Computer School, Wuhan University, Wuhan, 430072 People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Computer School, Wuhan University, Wuhan, 430072 People's Republic of China","institution_ids":["https://openalex.org/I37461747"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100668786"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200,"provenance":"doaj"},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":62},"biblio":{"volume":"12","issue":"7","first_page":"1185","last_page":"1194"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998,"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":0.9998,"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":0.9974,"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":0.9939,"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/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6106224},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting Scheme","score":0.6037812},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.6031441},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.53734106},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.5023258},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.42317262},{"id":"https://openalex.org/keywords/biorthogonal-wavelet","display_name":"Biorthogonal wavelet","score":0.4133754}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.66818875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6413976},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6106224},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.6037812},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.6031441},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6010275},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5725029},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5600024},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.53734106},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.5301952},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.5023258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5023005},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.47183424},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.42317262},{"id":"https://openalex.org/C2778869661","wikidata":"https://www.wikidata.org/wiki/Q4915256","display_name":"Biorthogonal wavelet","level":5,"score":0.4133754},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3905435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2928595},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.22819379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19852525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17941186}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2017.0935","pdf_url":"https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2017.0935","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2017.0935","pdf_url":"https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2017.0935","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61471160"}],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1616883357","https://openalex.org/W1964219813","https://openalex.org/W1973797800","https://openalex.org/W2018628714","https://openalex.org/W2020919250","https://openalex.org/W2045630464","https://openalex.org/W2063283192","https://openalex.org/W2063905240","https://openalex.org/W2072357243","https://openalex.org/W2091668069","https://openalex.org/W2106590163","https://openalex.org/W2109701628","https://openalex.org/W2110392280","https://openalex.org/W2127547766","https://openalex.org/W2135870717","https://openalex.org/W2137246712","https://openalex.org/W2146846625","https://openalex.org/W2156877470","https://openalex.org/W2162176878","https://openalex.org/W2166770524","https://openalex.org/W2558879954","https://openalex.org/W4251101141"],"related_works":["https://openalex.org/W2389244263","https://openalex.org/W2386462288","https://openalex.org/W2380670016","https://openalex.org/W2380223541","https://openalex.org/W2143594841","https://openalex.org/W2083484777","https://openalex.org/W2016058047","https://openalex.org/W1774449297","https://openalex.org/W1590155119","https://openalex.org/W1586959851"],"abstract_inverted_index":{"Since":[0],"the":[1,11,52,56,63,67,74,79,98,108,119,127,137,145,154,160,180,185],"division":[2],"with":[3,73],"remainder":[4],"cannot":[5,16],"be":[6,17],"implemented":[7],"in":[8,158],"multivariable":[9],"polynomials,":[10],"two-dimensional":[12,40,120,129,147,187],"non-separable":[13,42,122,131,149,191],"wavelet":[14,28,77,102,132,150,182,192],"transform":[15,151,183],"lifted":[18],"by":[19],"using":[20],"a":[21,34,116],"similar":[22],"way":[23],"as":[24],"that":[25,96,178],"of":[26,39,51,55,66,97,107,118,162,179],"univariate":[27],"transforms.":[29],"To":[30],"solve":[31],"this":[32],"problem,":[33],"general":[35,64],"lifting":[36,76,81,90,101,139,171],"factoring":[37,65,82,110],"method":[38,83,111,141,173],"two-channel":[41,121,130,148,188],"stripe":[43,57,123],"filter":[44,58,124,164],"banks":[45,59],"is":[46,60,70,92,115,134,142,165],"presented.":[47],"The":[48,89,104,169],"constructing":[49],"form":[50,91],"polyphase":[53,68],"matrices":[54,69],"deduced":[61],"and":[62,126,184],"given.":[71],"Compared":[72],"separable":[75],"transform,":[78],"proposed":[80,109,138,170],"can":[84],"extract":[85],"better":[86,175],"texture":[87],"information.":[88],"more":[93],"succinct":[94],"than":[95,144,167,177],"tensor":[99],"product":[100],"transform.":[103,193],"computation":[105],"amount":[106],"for":[112],"image":[113],"decomposition":[114],"quarter":[117],"bank":[125],"original":[128,181],"system":[133],"quickened.":[135],"Moreover,":[136],"factorising":[140,172],"faster":[143],"traditional":[146],"based":[152],"on":[153],"Fourier":[155],"transformation":[156],"framework":[157],"which":[159],"size":[161],"each":[163],"greater":[166],".":[168],"has":[174],"sparsity":[176],"famous":[186],"biorthogonal":[189],"symmetric":[190]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2791267851","counts_by_year":[],"updated_date":"2024-12-11T11:19:39.590750","created_date":"2018-03-29"}