{"id":"https://openalex.org/W4415708817","doi":"https://doi.org/10.1109/icme59968.2025.11208898","title":"Multi-Resolution Infrared-Visible Image Fusion using Multi-Scale Residual Quantization","display_name":"Multi-Resolution Infrared-Visible Image Fusion using Multi-Scale Residual Quantization","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708817","doi":"https://doi.org/10.1109/icme59968.2025.11208898"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11208898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5002286803","display_name":"Honglin Wu","orcid":"https://orcid.org/0009-0004-7038-6751"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honglin Wu","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630192","display_name":"Jun-Jie Huang","orcid":"https://orcid.org/0000-0002-9361-9974"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Jie Huang","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004941473","display_name":"Huibin Tan","orcid":"https://orcid.org/0000-0003-4060-8793"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibin Tan","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020177243","display_name":"Wanrong Huang","orcid":"https://orcid.org/0000-0001-5778-9055"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanrong Huang","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065371644","display_name":"Yuhua Tang","orcid":"https://orcid.org/0000-0002-4956-3379"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Tang","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028578817","display_name":"Xueqiong Li","orcid":"https://orcid.org/0000-0002-2364-4947"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqiong Li","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002286803"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43963339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9919000267982483,"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":0.9919000267982483,"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":0.003100000089034438,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.000699999975040555,"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/residual","display_name":"Residual","score":0.6305000185966492},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5870000123977661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47600001096725464},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4690000116825104},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4596000015735626},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.43299999833106995},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3959999978542328}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7491000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843000054359436},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.59170001745224},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5870000123977661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3959999978542328},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.34779998660087585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.31850001215934753},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.2685999870300293}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11208898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2757470902","https://openalex.org/W2809795042","https://openalex.org/W2912147220","https://openalex.org/W2998529071","https://openalex.org/W3011768656","https://openalex.org/W3108042295","https://openalex.org/W3180355996","https://openalex.org/W3213472242","https://openalex.org/W4220893768","https://openalex.org/W4312440143","https://openalex.org/W4312594135","https://openalex.org/W4312974539","https://openalex.org/W4366352735","https://openalex.org/W4379741379","https://openalex.org/W4386076504","https://openalex.org/W4387682254","https://openalex.org/W4387969162","https://openalex.org/W4390872797","https://openalex.org/W4390873110","https://openalex.org/W4391287714","https://openalex.org/W4402979383"],"related_works":[],"abstract_inverted_index":{"Infrared-visible":[0],"image":[1,10,22,102,158],"fusion":[2,45,67],"(IVF)":[3],"is":[4],"an":[5],"essential":[6],"task":[7],"in":[8],"multimodal":[9],"processing":[11],"that":[12,78,104,131,180],"integrates":[13],"infrared":[14,74,143,173],"and":[15,33,46,75,144,174],"visible":[16,76,145,175],"modalities":[17],"to":[18,38,63,160],"enhance":[19],"the":[20,54,89,92,141,154,183],"overall":[21],"information":[23],"content.":[24],"However,":[25],"existing":[26],"methods":[27],"often":[28],"suffer":[29],"from":[30,91],"limited":[31],"precision":[32],"efficiency.":[34],"Furthermore,":[35,111],"they":[36],"fail":[37],"address":[39],"practical":[40],"requirements":[41],"such":[42],"as":[43,163],"multi-resolution":[44],"mutual":[47,170],"translation.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,118],"propose":[53],"Multi-Scale":[55],"Residual":[56],"Quantized":[57],"Infrared-Visible":[58],"Image":[59],"Fusion":[60],"(M-RQIVF)":[61],"framework":[62],"efficiently":[64],"generate":[65],"high-quality":[66],"images.":[68,176],"M-RQIVF":[69,181],"trains":[70],"multi-scale":[71,82],"residual":[72],"quantized":[73],"autoencoders":[77],"convert":[79],"images":[80,146],"into":[81],"discrete":[83,115],"token":[84,116],"maps.":[85],"This":[86],"approach":[87],"approximates":[88],"residuals":[90],"features":[93,132],"on":[94],"a":[95,164,187],"scale-by-scale":[96],"basis,":[97],"allowing":[98],"for":[99],"coarse-to-fine":[100],"fused":[101],"generation":[103,166],"aligns":[105],"well":[106],"with":[107],"human":[108],"visual":[109],"perception.":[110],"by":[112],"leveraging":[113],"these":[114],"maps,":[117],"train":[119],"Visual":[120],"Auto-Regressive":[121],"(VAR)":[122],"transformers":[123],"using":[124],"next-scale":[125],"prediction.":[126],"The":[127],"VAR":[128],"transformer":[129],"ensures":[130],"of":[133],"corresponding":[134],"sizes":[135],"can":[136],"be":[137,161],"generated,":[138],"even":[139],"when":[140],"input":[142],"have":[147],"different":[148],"resolutions,":[149],"facilitating":[150],"fine-grained":[151],"fusion.":[152],"Additionally,":[153],"autoregressive":[155],"structure":[156],"enables":[157],"translation":[159,171],"treated":[162],"conditional":[165],"task,":[167],"thereby":[168],"enabling":[169],"between":[172],"Extensive":[177],"experiments":[178],"demonstrate":[179],"outperforms":[182],"SOTAs":[184],"while":[185],"maintaining":[186],"much":[188],"faster":[189],"inference":[190],"speed.":[191]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
