{"id":"https://openalex.org/W4293499241","doi":"https://doi.org/10.1109/access.2022.3202974","title":"End to End Infrared and Visible Image Fusion With Texture Details and Contrast Information","display_name":"End to End Infrared and Visible Image Fusion With Texture Details and Contrast Information","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293499241","doi":"https://doi.org/10.1109/access.2022.3202974"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3202974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3202974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09869825.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09869825.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033957723","display_name":"Jingyu Ji","orcid":"https://orcid.org/0000-0002-2678-1015"},"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":"Jingyu Ji","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-2678-1015","affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769540","display_name":"Yuhua Zhang","orcid":"https://orcid.org/0000-0003-4844-9053"},"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":"Yuhua Zhang","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060955060","display_name":"Zhilong Lin","orcid":"https://orcid.org/0000-0002-3205-4041"},"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":"Zhilong Lin","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103015765","display_name":"Yongke Li","orcid":"https://orcid.org/0009-0005-1094-9695"},"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":"Yongke Li","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603936","display_name":"Changlong Wang","orcid":"https://orcid.org/0000-0002-6955-973X"},"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":"Changlong Wang","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020761062","display_name":"Yongjiang Hu","orcid":"https://orcid.org/0000-0001-9902-8211"},"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":"Yongjiang Hu","raw_affiliation_strings":["Department of UAV, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of UAV, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuyu Huang","orcid":null},"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":"Fuyu Huang","raw_affiliation_strings":["Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085869711","display_name":"Jiangyi Yao","orcid":"https://orcid.org/0000-0002-2340-9066"},"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":"Jiangyi Yao","raw_affiliation_strings":["Equipment Simulation Training Center, Army Engineering University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipment Simulation Training Center, Army Engineering University, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4389,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6568915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"92410","last_page":"92425"},"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":0.9905999898910522,"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":0.9879000186920166,"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/image-fusion","display_name":"Image fusion","score":0.7551977038383484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.738492488861084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7241791486740112},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6724411249160767},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5804205536842346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5507112145423889},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5357528924942017},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5156303644180298},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4818459749221802},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4726898968219757},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4226731061935425},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4163041114807129},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41566723585128784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38857001066207886},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3391817808151245},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13592636585235596},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08524614572525024},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.06987068057060242},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06913888454437256}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7551977038383484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.738492488861084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241791486740112},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6724411249160767},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5804205536842346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5507112145423889},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5357528924942017},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5156303644180298},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4818459749221802},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4726898968219757},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4226731061935425},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4163041114807129},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41566723585128784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38857001066207886},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3391817808151245},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13592636585235596},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08524614572525024},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.06987068057060242},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06913888454437256},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3202974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3202974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09869825.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9a7c5fdb9e894f3cab9d13342bf0f81c","is_oa":true,"landing_page_url":"https://doaj.org/article/9a7c5fdb9e894f3cab9d13342bf0f81c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 92410-92425 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3202974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3202974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09869825.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7028565837","display_name":null,"funder_award_id":"62171467","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8510676677","display_name":null,"funder_award_id":"F2021506004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G988654831","display_name":null,"funder_award_id":"F2021506004","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293499241.pdf","grobid_xml":"https://content.openalex.org/works/W4293499241.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1970579918","https://openalex.org/W1984912921","https://openalex.org/W1997596006","https://openalex.org/W2077217548","https://openalex.org/W2113494422","https://openalex.org/W2133665775","https://openalex.org/W2142060261","https://openalex.org/W2152254169","https://openalex.org/W2194775991","https://openalex.org/W2221102299","https://openalex.org/W2266694576","https://openalex.org/W2288726182","https://openalex.org/W2306859282","https://openalex.org/W2532801510","https://openalex.org/W2593414223","https://openalex.org/W2611839139","https://openalex.org/W2613262006","https://openalex.org/W2752782242","https://openalex.org/W2767512561","https://openalex.org/W2772136803","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2809216229","https://openalex.org/W2912147220","https://openalex.org/W2963134949","https://openalex.org/W2995187556","https://openalex.org/W2996945478","https://openalex.org/W3000695128","https://openalex.org/W3011768656","https://openalex.org/W3046194589","https://openalex.org/W3093647646","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3155998459","https://openalex.org/W3192841331","https://openalex.org/W6637373629","https://openalex.org/W6681126596","https://openalex.org/W6688683655"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272","https://openalex.org/W1989561795"],"abstract_inverted_index":{"Infrared":[0],"and":[1,31,39,50,64,89,124,129,176],"visible":[2,33,51,65,87,130],"image":[3,30,34,38,43,52,66,78,88],"fusion":[4,37,42,53,77,159],"combine":[5],"data":[6],"information":[7,84,92,105,126],"from":[8],"different":[9],"sensors":[10],"to":[11,22,100,115,152],"achieve":[12],"a":[13,41,138],"richer":[14],"description":[15],"of":[16,27,167,182,186],"the":[17,24,28,32,36,72,76,82,86,90,94,107,110,116,122,145,150,165,168,180,183,187],"same":[18],"scene.":[19],"In":[20,120],"order":[21,99],"highlight":[23],"salient":[25],"features":[26],"infrared":[29,49,95,128],"in":[35,57,71,85,93,98,106,127],"obtain":[40],"with":[44,172],"good":[45],"performance,":[46],"an":[47],"end-to-end":[48],"algorithm":[54,170],"is":[55,113,142],"proposed":[56,169],"this":[58],"paper.":[59],"The":[60],"contrast":[61,91,123],"attention":[62],"module":[63],"cascade":[67],"part":[68,185],"are":[69,132],"introduced":[70,143],"generator,":[73],"so":[74],"that":[75],"can":[79],"focus":[80],"on":[81,161],"detail":[83,125],"image.":[96],"And":[97,137],"retain":[101],"more":[102],"structural":[103],"contour":[104,111],"original":[108],"image,":[109],"loss":[112,118],"added":[114],"content":[117],"function.":[119],"addition,":[121],"images":[131],"balanced":[133],"by":[134],"two":[135],"discriminators.":[136],"goal-guided":[139],"reward":[140],"function":[141],"into":[144],"discriminator,":[146],"which":[147],"further":[148],"facilitates":[149],"generator":[151],"produce":[153],"effective":[154],"fused":[155],"images.":[156],"Finally,":[157],"extensive":[158],"experiments":[160,178],"public":[162],"datasets":[163],"verify":[164],"advantages":[166],"compared":[171],"other":[173],"classical":[174],"algorithms,":[175],"ablation":[177],"demonstrate":[179],"effectiveness":[181],"improved":[184],"algorithm.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}