{"id":"https://openalex.org/W2049573171","doi":"https://doi.org/10.1109/icif.2007.4407989","title":"Multiresolution image fusion based on the wavelet-based contourlet transform","display_name":"Multiresolution image fusion based on the wavelet-based contourlet transform","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2049573171","doi":"https://doi.org/10.1109/icif.2007.4407989","mag":"2049573171"},"language":"en","primary_location":{"id":"doi:10.1109/icif.2007.4407989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4407989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052008806","display_name":"Lei Tang","orcid":"https://orcid.org/0000-0003-3262-0119"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tang","raw_affiliation_strings":["Institute of Automated Command, PLA University of Science and Technology, Nanjing, China","PLA Univ. of Sci. & Technol., Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automated Command, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"PLA Univ. of Sci. & Technol., Nanjing","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000885505","display_name":"Zhao Zong-gui","orcid":null},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zong-gui Zhao","raw_affiliation_strings":["China Electronics Technology Group Corporation, Nanjing, China","The 28th Research Institute, China Electronics Technology Group Corporation Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electronics Technology Group Corporation, Nanjing, China","institution_ids":["https://openalex.org/I2800372957"]},{"raw_affiliation_string":"The 28th Research Institute, China Electronics Technology Group Corporation Nanjing, China","institution_ids":["https://openalex.org/I2800372957"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9909999966621399,"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/contourlet","display_name":"Contourlet","score":0.9685132503509521},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.788520097732544},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7197737097740173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6727662086486816},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5877312421798706},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5793606638908386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5485613346099854},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.5447628498077393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5348958373069763},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5288962721824646},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5126613974571228},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49457308650016785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48882076144218445},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.45814675092697144},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.442778617143631},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3611603379249573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3589223027229309}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9685132503509521},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.788520097732544},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7197737097740173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6727662086486816},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5877312421798706},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5793606638908386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5485613346099854},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.5447628498077393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5348958373069763},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5288962721824646},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5126613974571228},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49457308650016785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48882076144218445},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.45814675092697144},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.442778617143631},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3611603379249573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3589223027229309}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icif.2007.4407989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4407989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W87590772","https://openalex.org/W1971103086","https://openalex.org/W2006748152","https://openalex.org/W2084140262","https://openalex.org/W2117853853","https://openalex.org/W2132984323","https://openalex.org/W4244272801","https://openalex.org/W6603603514","https://openalex.org/W7075664480"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2386482837","https://openalex.org/W2355889335","https://openalex.org/W2023142747","https://openalex.org/W2019515987","https://openalex.org/W2463313577","https://openalex.org/W2025989299","https://openalex.org/W2085792030","https://openalex.org/W2363631399"],"abstract_inverted_index":{"The":[0,31,99],"wavelet-based":[1],"contourlet":[2,54,129],"transform":[3,11,15,33,126],"(WBCT)":[4],"is":[5,70,108],"a":[6,24,49,74],"new":[7,57,105],"directional":[8,18],"transform.":[9,55,130],"This":[10],"uses":[12],"the":[13,17,35,43,53,63,68,83,111,120,124,128],"wavelet":[14,32,125],"and":[16,26,34,39,76,110,127],"filter":[19],"bank":[20],"(DFB)":[21],"to":[22,72,95],"obtain":[23],"multiscale":[25,75],"multidirection":[27,77],"decomposition":[28,78],"of":[29,52,79,86,118],"image.":[30,81],"DFB":[36],"are":[37,89,114],"non-redundant":[38,50],"perfect":[40],"reconstruction.":[41],"So":[42],"WBCT":[44,64,69,84],"can":[45],"be":[46],"regarded":[47],"as":[48],"version":[51],"A":[56],"image":[58,88],"fusion":[59,97,106],"scheme":[60,107],"based":[61],"on":[62],"was":[65],"presented.":[66],"Firstly,":[67],"used":[71],"perform":[73],"each":[80],"Then":[82],"coefficients":[85],"fused":[87,112],"constructed":[90],"using":[91,119],"multiple":[92],"operators":[93],"according":[94],"different":[96],"rules.":[98],"experimental":[100],"results":[101],"show":[102],"that":[103,117],"this":[104],"effective":[109],"images":[113],"better":[115],"than":[116],"Laplacian":[121],"pyramid":[122],"transform,":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}