{"id":"https://openalex.org/W2770981156","doi":"https://doi.org/10.1109/tcsvt.2017.2776239","title":"Complementary Color Wavelet: A Novel Tool for the Color Image/Video Analysis and Processing","display_name":"Complementary Color Wavelet: A Novel Tool for the Color Image/Video Analysis and Processing","publication_year":2017,"publication_date":"2017-11-21","ids":{"openalex":"https://openalex.org/W2770981156","doi":"https://doi.org/10.1109/tcsvt.2017.2776239","mag":"2770981156"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2776239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2776239","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5101454436","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0001-9226-2486"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380731","display_name":"Dan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087954561","display_name":"Jian Qiu Zhang","orcid":"https://orcid.org/0000-0002-6346-6495"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Qiu Zhang","raw_affiliation_strings":["Key Laboratory for Information Science of Electromagnetic Waves, Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Information Science of Electromagnetic Waves, Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101454436"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.4738,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.72312025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"1","first_page":"12","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7748827934265137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7736281156539917},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7626886367797852},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7156792283058167},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.6314709186553955},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6286356449127197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6173932552337646},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5611715912818909},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.5136675238609314},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5115410089492798},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4861268997192383},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.4400142729282379},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38637876510620117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3781163692474365},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10405811667442322}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7748827934265137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7736281156539917},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7626886367797852},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7156792283058167},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.6314709186553955},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6286356449127197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6173932552337646},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5611715912818909},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.5136675238609314},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5115410089492798},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4861268997192383},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.4400142729282379},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38637876510620117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3781163692474365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10405811667442322}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2017.2776239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2776239","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4556661777","display_name":null,"funder_award_id":"61571131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1972145690","https://openalex.org/W1977149238","https://openalex.org/W2003877941","https://openalex.org/W2008051965","https://openalex.org/W2018332268","https://openalex.org/W2034230021","https://openalex.org/W2037243393","https://openalex.org/W2044338482","https://openalex.org/W2058558325","https://openalex.org/W2078790577","https://openalex.org/W2085676589","https://openalex.org/W2086515910","https://openalex.org/W2097117768","https://openalex.org/W2109583775","https://openalex.org/W2111561372","https://openalex.org/W2113482204","https://openalex.org/W2113945798","https://openalex.org/W2115528090","https://openalex.org/W2117535912","https://openalex.org/W2120504013","https://openalex.org/W2121713720","https://openalex.org/W2123664929","https://openalex.org/W2124283738","https://openalex.org/W2128272608","https://openalex.org/W2129276048","https://openalex.org/W2133251749","https://openalex.org/W2135269154","https://openalex.org/W2138057336","https://openalex.org/W2142731874","https://openalex.org/W2147056688","https://openalex.org/W2154725633","https://openalex.org/W2158530844","https://openalex.org/W2159032911","https://openalex.org/W2162547327","https://openalex.org/W2163534628","https://openalex.org/W2163605009","https://openalex.org/W2164836233","https://openalex.org/W2276720924","https://openalex.org/W2595967805","https://openalex.org/W4255272544","https://openalex.org/W6629369048","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2589042415","https://openalex.org/W86200934","https://openalex.org/W2916810246","https://openalex.org/W3134180396","https://openalex.org/W4210380768","https://openalex.org/W2028896475","https://openalex.org/W2278007922","https://openalex.org/W2035801147","https://openalex.org/W2782110863","https://openalex.org/W3207891211"],"abstract_inverted_index":{"In":[0,56],"human":[1],"vision,":[2],"it":[3],"has":[4],"been":[5],"well":[6,21],"understood":[7],"that":[8,115,171,224,248],"the":[9,33,59,78,101,109,123,133,149,159,195,199],"red,":[10],"green,":[11],"and":[12,36,63,104,130,145,153,187,202,241],"blue":[13],"(RGB)":[14],"trichromatic":[15],"system,":[16],"whose":[17],"colors":[18],"can":[19,119,207],"be":[20,208],"expressed":[22],"by":[23,69,154,181],"an":[24],"RGB":[25,110],"hue":[26,111],"ring":[27],"with":[28,95],"complementary":[29,64,79,124],"color":[30,38,42,49,65,73,80,125,164,190,200,205,237],"relations,":[31],"is":[32,67,216],"most":[34],"accessible":[35],"extensible":[37],"representation.":[39],"However,":[40],"such":[41,53,139],"relations":[43,66,107,126],"rarely":[44],"play":[45],"a":[46,71,88,163,218],"role":[47],"in":[48],"image/video":[50,74,168],"processing":[51,75,169],"tools":[52],"as":[54,140,175],"wavelets.":[55],"this":[57,215],"paper,":[58],"gap":[60],"between":[61],"wavelets":[62,85,94,118,152],"filled":[68],"designing":[70],"novel":[72,84],"tool":[76,252],"called":[77],"wavelet":[81,160,196,251],"transform.":[82],"Our":[83],"consist":[86],"of":[87,90,135,162,194,225,234],"family":[89],"well-designed":[91],"2-D":[92],"complex":[93,137,227],"2\u03c0/3":[96],"phase":[97],"differences":[98],"copied":[99],"from":[100],"R,":[102],"G,":[103],"B":[105],"angle":[106],"on":[108],"ring.":[112],"Analyses":[113],"show":[114,247],"our":[116,235,249],"new":[117,250],"not":[120],"only":[121],"utilize":[122],"but":[127],"also":[128],"inherit":[129],"improve":[131],"upon":[132],"advantages":[134],"classical":[136,226],"wavelets,":[138],"their":[141],"multi-resolution,":[142],"directional":[143,204],"selectivity,":[144],"shift-invariance":[146],"properties.":[147],"By":[148],"newly":[150],"designed":[151],"properly":[155],"adding":[156],"and/or":[157],"subtracting":[158],"coefficients":[161,197],"image/video,":[165],"some":[166],"color-related":[167],"applications":[170],"are":[172],"typically":[173],"seen":[174],"infeasible":[176],"or":[177],"difficult":[178],"to":[179],"achieve":[180],"traditional":[182,255],"methods,":[183],"for":[184,214],"instance,":[185],"capturing":[186],"classifying":[188],"local":[189],"changes,":[191],"statistical":[192],"modeling":[193],"among":[198],"channels,":[201],"multi-resolution":[203],"filtering,":[206,238],"performed":[209],"very":[210],"easily.":[211],"The":[212,245],"cost":[213],"simply":[217],"transform":[219],"redundancy":[220],"increase":[221],"(2.25":[222],"times":[223],"wavelets).":[228],"We":[229],"provide":[230],"three":[231],"application":[232],"examples":[233],"method:":[236],"texture":[239],"retrieval,":[240],"video":[242],"quality":[243],"assessment.":[244],"results":[246],"greatly":[253],"outperforms":[254],"methods.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
