{"id":"https://openalex.org/W7161139738","doi":"https://doi.org/10.48550/arxiv.2605.13049","title":"Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images","display_name":"Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161139738","doi":"https://doi.org/10.48550/arxiv.2605.13049"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.13049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136171867","display_name":"Xingyuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128145858","display_name":"Haoyuan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Haoyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122666178","display_name":"Xingyue Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xingyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136172239","display_name":"Jun Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136135589","display_name":"Yang Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136135595","display_name":"Zhiying Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Zhiying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136126617","display_name":"Jinyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.8924999833106995,"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":0.8924999833106995,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.031300000846385956,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.01080000028014183,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.6909999847412109},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5353999733924866},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5108000040054321},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4706000089645386},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4636000096797943},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4634000062942505}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6909999847412109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654699981212616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.604200005531311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5677000284194946},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4706000089645386},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4634000062942505},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.13049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13049","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Infrared":[0],"and":[1,37,63,74,82,100,105,135,188],"Visible":[2],"Image":[3],"Fusion":[4,75,180],"(IVIF)":[5],"has":[6],"shown":[7],"promise":[8],"in":[9,45,56,165],"visual":[10],"tasks":[11],"under":[12,17],"challenging":[13],"environments,":[14],"but":[15],"fusion":[16,61,101],"unregistered":[18],"conditions":[19],"faces":[20],"inherent":[21],"misalignments.":[22],"Current":[23],"studies":[24],"to":[25,92,131,192],"solve":[26],"them":[27],"either":[28],"predict":[29],"the":[30,42,53,60,66,71,94,120,142,166,171],"deformation":[31,43,121],"parameters":[32],"coarse-to-fine":[33],"(i.e.,":[34],"coarse":[35],"registration":[36,99],"fine":[38],"registration)":[39],"or":[40],"estimate":[41],"fields":[44],"multi-scales":[46],"for":[47,97],"registration.":[48],"Though":[49],"straightforward,":[50],"they":[51],"overlook":[52],"cumulative":[54],"errors":[55],"registration,":[57,150],"which":[58,78,183],"contaminate":[59],"stage":[62,130],"severely":[64],"deteriorate":[65],"resulting":[67],"images.":[68,196],"We":[69],"introduce":[70],"Spatial-Frequency":[72,179],"Registration":[73,114],"(SFRF)":[76],"framework,":[77],"incorporates":[79,184],"uncertainty":[80,126],"estimation":[81,127],"infrared":[83,146],"thermal":[84,147,151],"radiation":[85,152],"distribution":[86,153,190],"consistency":[87,154,164],"into":[88],"a":[89,111,158,177],"unified":[90],"pipeline":[91],"handle":[93],"error":[95,133],"accumulation":[96,134],"robust":[98],"across":[102,123,201],"both":[103],"spatial":[104,185],"frequency":[106,167,189],"domains.":[107],"Specifically,":[108],"SFRF":[109,174,197],"constructs":[110],"Multi-scale":[112],"Iterative":[113],"(MIR)":[115],"framework":[116],"that":[117],"iteratively":[118],"refines":[119],"field":[122],"scales,":[124],"leveraging":[125],"at":[128],"each":[129],"mitigate":[132],"enhance":[136],"alignment":[137,144],"accuracy":[138],"dynamically.":[139],"To":[140],"ensure":[141],"accurate":[143],"of":[145],"distributions":[148],"during":[149],"is":[155],"employed":[156],"as":[157],"frequency-domain":[159],"supervisory":[160],"signal,":[161],"promoting":[162],"global":[163],"domain.":[168],"Based":[169],"on":[170],"spatial-frequency":[172],"alignment,":[173],"further":[175],"adopts":[176],"Dual-branch":[178],"(DSFF)":[181],"module,":[182],"geometric":[186],"features":[187],"information":[191],"reconstruct":[193],"visually":[194],"appealing":[195],"achieves":[198],"impressive":[199],"performance":[200],"diverse":[202],"datasets.":[203]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-15T00:00:00"}
