{"id":"https://openalex.org/W4296338129","doi":"https://doi.org/10.1109/lsp.2022.3207621","title":"Laplacian Pyramid Generative Adversarial Network for Infrared and Visible Image Fusion","display_name":"Laplacian Pyramid Generative Adversarial Network for Infrared and Visible Image Fusion","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296338129","doi":"https://doi.org/10.1109/lsp.2022.3207621"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3207621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3207621","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5090531606","display_name":"Haitao Yin","orcid":"https://orcid.org/0000-0003-2975-2188"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Yin","raw_affiliation_strings":["College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2975-2188","affiliations":[{"raw_affiliation_string":"College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008490449","display_name":"Jinghu Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghu Xiao","raw_affiliation_strings":["College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.3328,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.89744971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"1988","last_page":"1992"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9922999739646912,"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/notation","display_name":"Notation","score":0.4899984896183014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4803232252597809},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4800363779067993},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4617822766304016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45660191774368286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45243480801582336},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.42103147506713867},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4139400124549866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38584890961647034},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.3483612537384033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33740946650505066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32078492641448975},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11078467965126038},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07453566789627075}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4899984896183014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4803232252597809},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4800363779067993},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4617822766304016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45660191774368286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45243480801582336},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.42103147506713867},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4139400124549866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38584890961647034},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3483612537384033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33740946650505066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32078492641448975},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11078467965126038},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07453566789627075},{"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:10.1109/lsp.2022.3207621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3207621","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G10643888","display_name":"\u57fa\u4e8e\u5f20\u91cf\u7a00\u758f\u6df1\u5ea6\u5b66\u4e60\u7684\u9ad8\u7ef4\u9065\u611f\u56fe\u50cf\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971237","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":38,"referenced_works":["https://openalex.org/W1964641132","https://openalex.org/W2005682787","https://openalex.org/W2014886478","https://openalex.org/W2054273865","https://openalex.org/W2068941797","https://openalex.org/W2081195086","https://openalex.org/W2083388902","https://openalex.org/W2091484864","https://openalex.org/W2114207195","https://openalex.org/W2133135191","https://openalex.org/W2532801510","https://openalex.org/W2559870345","https://openalex.org/W2593414223","https://openalex.org/W2751011928","https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2912581987","https://openalex.org/W2950648852","https://openalex.org/W2963787388","https://openalex.org/W3003434209","https://openalex.org/W3011768656","https://openalex.org/W3030921250","https://openalex.org/W3035467948","https://openalex.org/W3039415429","https://openalex.org/W3046194589","https://openalex.org/W3083923056","https://openalex.org/W3088623196","https://openalex.org/W3102411220","https://openalex.org/W3104771364","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3129015415","https://openalex.org/W3131856555","https://openalex.org/W3162950802","https://openalex.org/W3197456663","https://openalex.org/W6679183523","https://openalex.org/W6772929638"],"related_works":["https://openalex.org/W2085686114","https://openalex.org/W4312837757","https://openalex.org/W2549658594","https://openalex.org/W2587577390","https://openalex.org/W2378046426","https://openalex.org/W2158854660","https://openalex.org/W2057402266","https://openalex.org/W2031602794","https://openalex.org/W4213227867","https://openalex.org/W2358873223"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1,117],"network":[2],"(GAN)":[3],"has":[4],"recently":[5],"demonstrated":[6],"a":[7,40,49,72],"powerful":[8],"tool":[9],"for":[10],"infrared":[11],"and":[12,26,63,107,146,155],"visible":[13],"image":[14,42,106],"fusion.":[15],"However,":[16],"existing":[17],"methods":[18],"extract":[19],"the":[20,28,67,79,83,89,94,104,114,129,160],"features":[21,57],"incompletely,":[22],"miss":[23],"some":[24],"textures,":[25],"lack":[27],"stability":[29,115],"of":[30,55,116],"training.":[31],"To":[32,112],"cope":[33],"with":[34,159],"these":[35],"issues,":[36],"this":[37],"article":[38],"proposes":[39],"novel":[41],"fusion":[43,132],"Laplacian":[44,60,68],"pyramid":[45,61,69],"GAN":[46],"(IF-LapGAN).":[47],"Firstly,":[48],"generator":[50],"is":[51,71,86],"constructed":[52],"which":[53,76],"consists":[54],"shallow":[56],"extraction":[58],"module,":[59,62],"reconstruction":[64],"module.":[65],"Specifically,":[66],"module":[70,85],"pyramid-style":[73],"encoder-decoder":[74],"architecture,":[75],"progressively":[77],"extracts":[78],"multi-scale":[80],"features.":[81,96],"Moreover,":[82],"attention":[84],"equipped":[87],"in":[88,150],"decoder":[90],"to":[91,102,121],"effectively":[92],"decode":[93],"salient":[95],"Then,":[97],"two":[98,108],"discriminators":[99],"are":[100],"adopted":[101],"discriminate":[103],"fused":[105],"different":[109],"modalities":[110],"respectively.":[111],"improve":[113],"learning,":[118],"we":[119],"propose":[120],"develop":[122],"another":[123],"side":[124,130],"supervised":[125],"loss":[126],"based":[127],"on":[128],"pre-trained":[131],"network.":[133],"Extensive":[134],"experiments":[135],"show":[136],"that":[137],"IF-LapGAN":[138],"achieves":[139],"3.27%,":[140],"27.28%,":[141],"6.32%,":[142],"1.39%,":[143],"3.14%,":[144],"1.15%":[145],"1.07%":[147],"improvement":[148],"gains":[149],"terms":[151],"of$Q_{NMI}$,$Q_{M}$,$Q_{Yang}$,$Q^{AB/F}$,":[152],"MI,":[153],"VIF,":[154],"FMI,":[156],"respectively,":[157],"compared":[158],"second":[161],"best":[162],"values.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}