{"id":"https://openalex.org/W4385938175","doi":"https://doi.org/10.1109/tci.2023.3304471","title":"Contrast Saliency Information Guided Infrared and Visible Image Fusion","display_name":"Contrast Saliency Information Guided Infrared and Visible Image Fusion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385938175","doi":"https://doi.org/10.1109/tci.2023.3304471"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2023.3304471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2023.3304471","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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/A5100422543","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0001-6674-8140"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052280678","display_name":"Zheng Guan","orcid":"https://orcid.org/0000-0003-4817-8310"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Guan","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621134","display_name":"Wenhua Qian","orcid":"https://orcid.org/0000-0002-2895-2121"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Qian","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017808266","display_name":"Jinde Cao","orcid":"https://orcid.org/0000-0003-3133-7119"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinde Cao","raw_affiliation_strings":["School of Mathematics, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781204","display_name":"Chengchao Wang","orcid":"https://orcid.org/0000-0002-4202-2203"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchao Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006149913","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0002-8523-0926"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100422543"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":1.9255,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87725692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"769","last_page":"780"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7699905633926392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6976451277732849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6262136697769165},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.577839732170105},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.485662579536438},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.47491252422332764},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45112553238868713},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44965529441833496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36578935384750366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30888810753822327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699905633926392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6976451277732849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6262136697769165},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.577839732170105},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.485662579536438},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.47491252422332764},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45112553238868713},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44965529441833496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36578935384750366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30888810753822327},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2023.3304471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2023.3304471","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1947381385","display_name":null,"funder_award_id":"62162065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3279521542","display_name":null,"funder_award_id":"61761045","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2076831642","https://openalex.org/W2116702374","https://openalex.org/W2133665775","https://openalex.org/W2141957843","https://openalex.org/W2146353910","https://openalex.org/W2194775991","https://openalex.org/W2266694576","https://openalex.org/W2589745805","https://openalex.org/W2621197300","https://openalex.org/W2752782242","https://openalex.org/W2757470902","https://openalex.org/W2798018774","https://openalex.org/W2798987894","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2963787388","https://openalex.org/W2971071255","https://openalex.org/W2995339751","https://openalex.org/W2998012573","https://openalex.org/W2998126692","https://openalex.org/W3007891240","https://openalex.org/W3024215945","https://openalex.org/W3030921250","https://openalex.org/W3035272096","https://openalex.org/W3039415429","https://openalex.org/W3044256341","https://openalex.org/W3046194589","https://openalex.org/W3087642760","https://openalex.org/W3092444386","https://openalex.org/W3102411220","https://openalex.org/W3102515681","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3126994406","https://openalex.org/W3129015415","https://openalex.org/W3133700567","https://openalex.org/W3138720420","https://openalex.org/W3138928588","https://openalex.org/W3159235206","https://openalex.org/W3197456663","https://openalex.org/W3206506760","https://openalex.org/W3216678721","https://openalex.org/W4206713196","https://openalex.org/W4220893768","https://openalex.org/W4220927862","https://openalex.org/W4283732315","https://openalex.org/W4296106334","https://openalex.org/W4312594135","https://openalex.org/W4312737473","https://openalex.org/W4362014679","https://openalex.org/W6783532966"],"related_works":["https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2004323682","https://openalex.org/W2069592018","https://openalex.org/W4205302943","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2142795561"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"an":[3],"infrared":[4],"and":[5,32,48,58,80,170,176],"visible":[6],"image":[7,88,124],"fusion":[8],"method":[9],"based":[10],"on":[11,87,184,193],"contrast":[12,107],"saliency":[13,108],"information":[14,76,86,139],"guided,":[15],"termed":[16],"CSFusion.":[17],"On":[18,90],"the":[19,22,39,46,49,55,64,67,74,82,91,94,101,111,118,122,127,137,141,149,152,159,174,182,185],"one":[20],"hand,":[21,93],"gradual":[23],"recovery":[24],"network":[25,40,128,154],"is":[26,145,155],"devised":[27],"to":[28,129,163],"achieve":[29],"self-refining":[30],"processing":[31],"cross-stage":[33],"integration":[34,57],"of":[35,60,66,77,84,110,140,168,178],"encoded":[36,61,75],"features.":[37,62],"Specifically,":[38],"establishes":[41],"one-to-one":[42],"feature":[43],"reuse":[44],"between":[45],"encoder":[47],"decoder,":[50],"which":[51],"can":[52,104],"effectively":[53,72,105],"facilitating":[54],"decoder":[56],"reconstruction":[59],"Moreover,":[63],"introduction":[65],"self-refine":[68],"attention":[69],"module":[70,97],"(SRAM)":[71],"refines":[73],"each":[78],"branch":[79],"reduces":[81],"impact":[83],"redundant":[85],"reconstruction.":[89],"other":[92],"salient":[95],"guided":[96],"(SGM)":[98],"built":[99],"with":[100,117],"edge-preserving":[102],"filter":[103],"output":[106],"maps":[109],"source":[112,142],"images.":[113,143],"Its":[114],"synergistic":[115],"operation":[116],"objective":[119],"function":[120],"drives":[121],"fused":[123],"generated":[125],"by":[126],"exhibit":[130],"a":[131],"better":[132],"background":[133],"texture":[134],"while":[135],"highlighting":[136],"content":[138],"It":[144],"worth":[146],"noting":[147],"that":[148],"SGM":[150],"as":[151],"auxiliary":[153],"utilized":[156],"only":[157],"in":[158],"training":[160],"stage.":[161],"Compared":[162],"state-of-the-art":[164],"methods,":[165],"extensive":[166],"experiments":[167],"qualitative":[169],"quantitative":[171],"results":[172],"prove":[173],"superiority":[175],"robustness":[177],"our":[179],"method.":[180],"Also,":[181],"performance":[183],"object":[186],"detection":[187],"task":[188],"further":[189],"reveals":[190],"its":[191],"potential":[192],"high-level":[194],"vision":[195],"tasks.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}