{"id":"https://openalex.org/W3037731875","doi":"https://doi.org/10.3233/jifs-200554","title":"Infrared and visible image fusion using dual-tree complex wavelet transform and convolutional sparse representation","display_name":"Infrared and visible image fusion using dual-tree complex wavelet transform and convolutional sparse representation","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3037731875","doi":"https://doi.org/10.3233/jifs-200554","mag":"3037731875"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-200554","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200554","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5066363185","display_name":"Chengrui Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengrui Gao","raw_affiliation_strings":["Sichuan University, The College of Electronics Information and Engineering, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, The College of Electronics Information and Engineering, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078239730","display_name":"Feiqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiqiang Liu","raw_affiliation_strings":["Sichuan University, The College of Electronics Information and Engineering, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, The College of Electronics Information and Engineering, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088610746","display_name":"Hua Yan","orcid":"https://orcid.org/0000-0001-9231-3175"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Yan","raw_affiliation_strings":["Sichuan University, The College of Electronics Information and Engineering, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University, The College of Electronics Information and Engineering, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088610746"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":1.1319,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83809154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"39","issue":"3","first_page":"4617","last_page":"4629"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.8318819999694824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885359525680542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6755025386810303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712443828582764},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6617521047592163},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5850569009780884},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5281933546066284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5251286029815674},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4892687499523163},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46895474195480347},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4207848310470581},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.41713908314704895},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4168907701969147},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4130963087081909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3540351688861847},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2881792485713959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23709705471992493},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09901595115661621},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06082746386528015}],"concepts":[{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.8318819999694824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885359525680542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6755025386810303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712443828582764},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6617521047592163},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5850569009780884},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5281933546066284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5251286029815674},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4892687499523163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46895474195480347},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4207848310470581},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.41713908314704895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4168907701969147},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4130963087081909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3540351688861847},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2881792485713959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23709705471992493},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09901595115661621},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06082746386528015},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-200554","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200554","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1964641132","https://openalex.org/W1997480692","https://openalex.org/W1998557720","https://openalex.org/W1999034606","https://openalex.org/W2018332268","https://openalex.org/W2020442368","https://openalex.org/W2025133197","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2034995331","https://openalex.org/W2054273865","https://openalex.org/W2056346283","https://openalex.org/W2068941797","https://openalex.org/W2069959554","https://openalex.org/W2082232962","https://openalex.org/W2103504761","https://openalex.org/W2114122776","https://openalex.org/W2116702374","https://openalex.org/W2125188192","https://openalex.org/W2131168375","https://openalex.org/W2133135191","https://openalex.org/W2146353910","https://openalex.org/W2160547390","https://openalex.org/W2182501874","https://openalex.org/W2190662802","https://openalex.org/W2256359941","https://openalex.org/W2266694576","https://openalex.org/W2306859282","https://openalex.org/W2401484698","https://openalex.org/W2474462684","https://openalex.org/W2532801510","https://openalex.org/W2559295071","https://openalex.org/W2590003272","https://openalex.org/W2610070095","https://openalex.org/W2751011928","https://openalex.org/W2790212360","https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2917281601","https://openalex.org/W2929570135","https://openalex.org/W2945776902","https://openalex.org/W2996190560","https://openalex.org/W3007891240","https://openalex.org/W3105639468"],"related_works":["https://openalex.org/W2359885256","https://openalex.org/W2331757830","https://openalex.org/W2348426299","https://openalex.org/W3201880405","https://openalex.org/W2547029902","https://openalex.org/W2184356407","https://openalex.org/W1940514811","https://openalex.org/W2116037602","https://openalex.org/W2898643054","https://openalex.org/W2172021289"],"abstract_inverted_index":{"Infrared":[0],"and":[1,17,43,60,76,99,116,148],"visible":[2,15,61],"image":[3,31,48],"fusion":[4,49],"refers":[5],"to":[6,71],"the":[7,11,54,57,80,90,103,112,114,124,127,133,137,144],"technology":[8],"that":[9],"merges":[10],"visual":[12],"details":[13],"of":[14,21,126],"images":[16,59,62,105],"thermal":[18],"feature":[19],"information":[20],"infrared":[22,58],"images;":[23],"it":[24],"has":[25],"been":[26],"extensively":[27],"adopted":[28],"in":[29],"numerous":[30],"processing":[32],"fields.":[33],"In":[34,53,111],"this":[35],"study,":[36],"a":[37],"dual-tree":[38,67],"complex":[39,68],"wavelet":[40,69],"transform":[41,70],"(DTCWT)":[42],"convolutional":[44,96],"sparse":[45,97],"representation":[46,98],"(CSR)-based":[47],"method":[50,139],"was":[51,93],"proposed.":[52],"proposed":[55,128,138],"method,":[56],"were":[63,83,106,140],"first":[64],"decomposed":[65],"by":[66,85,108],"characterize":[72],"their":[73],"high-frequency":[74,81],"bands":[75,82],"low-frequency":[77,91],"band.":[78],"Subsequently,":[79],"enhanced":[84],"guided":[86],"filtering":[87],"(GF),":[88],"while":[89],"band":[92],"merged":[94],"through":[95],"choose-max":[100],"strategy.":[101],"Lastly,":[102],"fused":[104],"reconstructed":[107],"inverse":[109],"DTCWT.":[110],"experiment,":[113],"objective":[115],"subjective":[117],"comparisons":[118],"with":[119,143],"other":[120],"typical":[121],"methods":[122],"proved":[123],"advantage":[125],"method.":[129],"To":[130],"be":[131],"specific,":[132],"results":[134],"achieved":[135],"using":[136],"more":[141,150],"consistent":[142],"human":[145],"vision":[146],"system":[147],"contained":[149],"texture":[151],"detail":[152],"information.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}