{"id":"https://openalex.org/W3116877109","doi":"https://doi.org/10.1109/tencon50793.2020.9293815","title":"Edge Preserving Image Fusion using Intensity Variation Approach","display_name":"Edge Preserving Image Fusion using Intensity Variation Approach","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3116877109","doi":"https://doi.org/10.1109/tencon50793.2020.9293815","mag":"3116877109"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5101824900","display_name":"Manoj Kumar Panda","orcid":"https://orcid.org/0009-0002-5021-2741"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manoj Kumar Panda","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026675739","display_name":"Badri Narayan Subudhi","orcid":"https://orcid.org/0000-0002-4378-0065"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Badri Narayan Subudhi","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005180011","display_name":"T. Veerakumar","orcid":"https://orcid.org/0000-0001-9084-1847"},"institutions":[{"id":"https://openalex.org/I4210109276","display_name":"National Institute of Technology Goa","ror":"https://ror.org/01vmfpj79","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109276"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Veerakumar","raw_affiliation_strings":["National Institute of Technology, Ponda, Goa, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Ponda, Goa, India","institution_ids":["https://openalex.org/I4210109276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028420263","display_name":"Manoj Singh Gaur","orcid":"https://orcid.org/0000-0002-0497-721X"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Singh Gaur","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101824900"],"corresponding_institution_ids":["https://openalex.org/I4210127441"],"apc_list":null,"apc_paid":null,"fwci":0.3824,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69885145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"256"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9950000047683716,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7464690804481506},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6791427135467529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6619832515716553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6570024490356445},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6538753509521484},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5174084901809692},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5074021220207214},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5012838840484619},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49436140060424805},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48335641622543335},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4184225797653198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40499410033226013},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0738891065120697}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7464690804481506},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6791427135467529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6619832515716553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6570024490356445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6538753509521484},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5174084901809692},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5074021220207214},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5012838840484619},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49436140060424805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48335641622543335},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4184225797653198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40499410033226013},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0738891065120697},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W413639665","https://openalex.org/W1592674021","https://openalex.org/W1974221832","https://openalex.org/W2005682787","https://openalex.org/W2026651590","https://openalex.org/W2054273865","https://openalex.org/W2082232962","https://openalex.org/W2094050562","https://openalex.org/W2094162745","https://openalex.org/W2115214993","https://openalex.org/W2124141313","https://openalex.org/W2154332114","https://openalex.org/W2170163526","https://openalex.org/W2221102299","https://openalex.org/W2322691633","https://openalex.org/W2474462684","https://openalex.org/W2502811807","https://openalex.org/W2557682050","https://openalex.org/W2734778698","https://openalex.org/W2809216229","https://openalex.org/W2809795042","https://openalex.org/W6678617208","https://openalex.org/W6864450276","https://openalex.org/W6991279964"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2387055199","https://openalex.org/W2087343574","https://openalex.org/W4246352526"],"abstract_inverted_index":{"In":[0,123,194],"this":[1,24,115],"article,":[2],"a":[3,36,47,77,90,98,130,151,171],"novel":[4],"edge":[5,173],"preserving":[6],"image":[7,132,160,178,186],"fusion":[8,94],"method":[9,92,203,219,234],"is":[10,26,46,87,103,133,179,220],"proposed":[11,118,202,218,233],"by":[12,64,135,181],"merging":[13],"multiple":[14,33,44,72],"images":[15,34,69],"captured":[16,70],"from":[17,43,71],"different":[18,55],"imaging":[19,52],"sensors.":[20],"The":[21,117,155,217,228],"objective":[22,239],"of":[23,32,41,84,93,109,127,144,157,167,190,200,224,231],"paper":[25],"to":[27,80,105,196],"highlight":[28],"the":[29,51,59,68,81,107,124,128,137,141,158,164,168,176,183,188,191,198,201,232],"informative":[30],"contents":[31],"into":[35],"single":[37],"fused":[38,177],"image.":[39,193],"Fusion":[40],"data":[42,60],"sensors":[45,57,65,73],"difficult":[48],"task":[49],"as":[50],"modality":[53],"are":[54,161],"and":[56,146,187,205,241],"capturing":[58],"may":[61,95],"be":[62],"affected":[63],"noise.":[66],"As":[67],"possess":[74],"uncertainty":[75],"within":[76,150],"pixel":[78,142],"due":[79],"multi-valued":[82],"level":[83],"brightness.":[85],"It":[86],"obvious":[88],"that":[89],"deterministic":[91],"not":[96],"give":[97],"better":[99],"results.":[100],"Hence,":[101],"it":[102],"required":[104],"explore":[106],"use":[108],"fuzzy":[110],"sets":[111],"theoretic":[112],"approaches":[113],"in":[114,163,238],"regard.":[116],"scheme":[119],"follow":[120],"three":[121],"stages.":[122],"first":[125],"stage":[126,166],"algorithm,":[129],"resultant":[131,185],"obtained":[134,180,184],"setting":[136],"maximum":[138],"value":[139],"between":[140],"intensity":[143],"visible":[145,159,192],"infrared":[147],"sub-images":[148],"considered":[149],"small":[152],"spatial":[153],"neighborhood.":[154],"edges":[156,189],"preserved":[162],"second":[165],"algorithm":[169],"using":[170],"Fuzzy":[172],"technique.":[174],"Finally":[175],"combining":[182],"order":[195],"evaluate":[197],"performance":[199,237],"quantitatively,":[204],"qualitatively":[206],"experiments":[207],"were":[208],"carried":[209],"out":[210],"on":[211],"publicly":[212],"available":[213],"benchmark":[214],"database,":[215],"\"TNO-database\".":[216],"compared":[221],"with":[222],"those":[223],"eight":[225],"state-of-the-arts":[226],"techniques.":[227],"experimental":[229],"results":[230],"attained":[235],"state-of-the-art":[236],"assessment":[240],"visual":[242],"quality":[243],"assessment.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}