{"id":"https://openalex.org/W1984912921","doi":"https://doi.org/10.1109/ciss.2007.4298361","title":"A New Automated Quality Assessment Algorithm for Night Vision Image Fusion","display_name":"A New Automated Quality Assessment Algorithm for Night Vision Image Fusion","publication_year":2007,"publication_date":"2007-03-01","ids":{"openalex":"https://openalex.org/W1984912921","doi":"https://doi.org/10.1109/ciss.2007.4298361","mag":"1984912921"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2007.4298361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2007.4298361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 41st Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100430560","display_name":"Yin Chen","orcid":"https://orcid.org/0000-0002-3351-5065"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Chen","raw_affiliation_strings":["ECE Department, Lehigh University, Bethlehem, PA, USA","Lehigh University, Bethlehem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University, Bethlehem","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rick S. Blum","raw_affiliation_strings":["ECE Department, Lehigh University, Bethlehem, PA, USA","Lehigh University, Bethlehem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University, Bethlehem","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"518","last_page":"523"},"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":0.9894000291824341,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.7728234529495239},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7076776027679443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6712462902069092},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6570995450019836},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.65265291929245},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6195434331893921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119118332862854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.597394585609436},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5143693685531616},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.495538592338562},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4687167704105377},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46592992544174194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4479576349258423},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42043808102607727},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41746142506599426}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728234529495239},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7076776027679443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6712462902069092},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6570995450019836},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.65265291929245},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6195434331893921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119118332862854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.597394585609436},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5143693685531616},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.495538592338562},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4687167704105377},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46592992544174194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4479576349258423},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42043808102607727},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41746142506599426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2007.4298361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2007.4298361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 41st Annual Conference on Information Sciences and Systems","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":21,"referenced_works":["https://openalex.org/W1543242897","https://openalex.org/W1545234847","https://openalex.org/W1563899710","https://openalex.org/W1768150715","https://openalex.org/W1964641132","https://openalex.org/W1991221331","https://openalex.org/W2035623690","https://openalex.org/W2035929545","https://openalex.org/W2044456223","https://openalex.org/W2047114291","https://openalex.org/W2091484864","https://openalex.org/W2093605161","https://openalex.org/W2105090634","https://openalex.org/W2116284372","https://openalex.org/W2134774992","https://openalex.org/W2155762926","https://openalex.org/W2159269332","https://openalex.org/W2167663707","https://openalex.org/W4321466059","https://openalex.org/W6632530254","https://openalex.org/W6632681488"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2350422455"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,135],"propose":[4],"a":[5,29,45,52,62,87],"perceptual":[6,120,149],"quality":[7,27,94,100,104],"evaluation":[8],"method":[9,23],"for":[10,58,105,122],"image":[11,26,31,75],"fusion":[12],"which":[13,51,142],"is":[14,56,66],"based":[15],"on":[16],"human":[17,119,148],"visual":[18],"system":[19],"(HVS)":[20],"models.":[21],"Our":[22],"assesses":[24],"the":[25,33,37,70,73,81,99,103,106,112,152],"of":[28,98],"fused":[30,40,74,107],"using":[32],"following":[34],"steps.":[35],"First":[36],"source":[38,78],"and":[39,76],"images":[41],"are":[42,84,143],"filtered":[43],"by":[44,86,115],"contrast":[46,54,63],"sensitivity":[47],"function":[48],"(CSF)":[49],"after":[50],"local":[53],"map":[55,65,89,101],"computed":[57],"each":[59,77],"image.":[60,79,108],"Second,":[61],"preservation":[64,82],"generated":[67],"to":[68,90,147],"describe":[69],"relationship":[71],"between":[72],"Finally,":[80],"maps":[83],"weighted":[85],"saliency":[88],"obtain":[91],"an":[92],"overall":[93],"map.":[95],"The":[96],"mean":[97],"indicates":[102],"Experimental":[109],"results":[110],"compare":[111],"predictions":[113],"made":[114],"our":[116,128,137],"algorithm":[117,138],"with":[118],"evaluations":[121],"several":[123],"different":[124],"parameter":[125,133],"settings":[126],"in":[127],"algorithm.":[129],"For":[130],"some":[131],"specific":[132],"settings,":[134],"find":[136],"provides":[139],"better":[140],"predictions,":[141],"more":[144],"closely":[145],"matched":[146],"evaluations,":[150],"than":[151],"existing":[153],"algorithms.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
