{"id":"https://openalex.org/W7147682631","doi":"https://doi.org/10.1109/icvisp68610.2025.11451695","title":"Infrared and Visible Image Fusion Leveraging Adaptive Feature Extraction","display_name":"Infrared and Visible Image Fusion Leveraging Adaptive Feature Extraction","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147682631","doi":"https://doi.org/10.1109/icvisp68610.2025.11451695"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5132567967","display_name":"Yitong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yitong Yang","raw_affiliation_strings":["Xi’an Polytechnic University,School of Electronics Information,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Polytechnic University,School of Electronics Information,Xi’an,China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394072","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0003-1685-7968"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["Xi’an Polytechnic University,School of Electronics Information,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xi’an Polytechnic University,School of Electronics Information,Xi’an,China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132562249","display_name":"Hua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wang","raw_affiliation_strings":["Hangzhou Shengqing Technology Co., Ltd,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Shengqing Technology Co., Ltd,Hangzhou,China","institution_ids":["https://openalex.org/I4210151935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5132567967"],"corresponding_institution_ids":["https://openalex.org/I27599042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75272275,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9864000082015991,"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":0.9864000082015991,"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":0.0044999998062849045,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6173999905586243},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5576000213623047},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5382999777793884},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5281000137329102},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5130000114440918},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5066999793052673},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4632999897003174}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7883999943733215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891999840736389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6777999997138977},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6173999905586243},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5576000213623047},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5382999777793884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5130000114440918},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41110000014305115},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.39239999651908875},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.33649998903274536},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29429998993873596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1970302834","https://openalex.org/W2028555274","https://openalex.org/W2132680427","https://openalex.org/W2168783614","https://openalex.org/W2256359941","https://openalex.org/W2306859282","https://openalex.org/W2756284042","https://openalex.org/W2798987894","https://openalex.org/W3046194589","https://openalex.org/W4231697575","https://openalex.org/W4293224618","https://openalex.org/W4321787527","https://openalex.org/W4388003935","https://openalex.org/W4389491034","https://openalex.org/W4404007790","https://openalex.org/W4413144420"],"related_works":[],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,64],"infrared":[3,37,58,84],"and":[4,18,39,103],"visible":[5,45],"image":[6,13,28,38],"fusion":[7,49],"aims":[8],"to":[9,61],"generate":[10],"a":[11],"single":[12],"that":[14,113],"integrates":[15],"salient":[16],"features":[17],"rich":[19],"texture":[20,41,66,94],"details":[21,42],"from":[22,35,43,56],"multi-source":[23],"inputs.":[24],"Ideally,":[25],"the":[26,31,36,40,44,48,57,62,80,98,107,114],"fused":[27],"should":[29],"preserve":[30],"thermal":[32],"radiation":[33],"information":[34,86],"image.":[46],"However,":[47],"process":[50],"often":[51],"inevitably":[52],"introduces":[53],"certain":[54],"noise":[55],"image,":[59],"leading":[60],"loss":[63],"local":[65,93],"information.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"we":[72],"propose":[73],"an":[74],"adaptive":[75],"feature":[76],"fusion-based":[77],"network.":[78],"Specifically,":[79],"network":[81],"emphasizes":[82],"meaningful":[83],"brightness":[85],"while":[87],"suppressing":[88],"high-frequency":[89],"noise,":[90],"thereby":[91],"preserving":[92],"details.":[95],"We":[96],"conducted":[97],"evaluation":[99],"using":[100],"subjective":[101],"assessment":[102],"objective":[104],"indicators":[105],"on":[106,120],"benchmark":[108],"dataset.":[109],"Experimental":[110],"results":[111],"demonstrate":[112],"proposed":[115],"method":[116],"achieves":[117],"superior":[118],"performance":[119],"public":[121],"datasets.":[122]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}