乐胖代购免代理版

{"id":"https://openalex.org/W4213360337","doi":"https://doi.org/10.1109/tci.2022.3151472","title":"Injected Infrared and Visible Image Fusion via $L_{1}$ Decomposition Model and Guided Filtering","display_name":"Injected Infrared and Visible Image Fusion via $L_{1}$ Decomposition Model and Guided Filtering","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213360337","doi":"https://doi.org/10.1109/tci.2022.3151472"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2022.3151472","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5101649683","display_name":"Hui Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yan","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036721322","display_name":"Jin\u2010Xi Zhang","orcid":"https://orcid.org/0000-0002-1451-7057"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Xi Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402640","display_name":"Xuefeng Zhang","orcid":"https://orcid.org/0000-0002-2831-5747"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Zhang","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.618,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.999797,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"162","last_page":"173"},"is_retracted":false,"is_paratext":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":0.9983,"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":0.9978,"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/composite-image-filter","display_name":"Composite image filter","score":0.5310735},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4109474}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.8239857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.57555354},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.5310735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5064851},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4983964},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48967507},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.48808706},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43026775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4275622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4194236},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4109474},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37290454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3632136},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2022.3151472","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61991404"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61991403"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62103093"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":"N2108003"}],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1563899710","https://openalex.org/W1580389772","https://openalex.org/W1980102592","https://openalex.org/W1999348973","https://openalex.org/W1999455876","https://openalex.org/W2015380729","https://openalex.org/W2048322459","https://openalex.org/W2049549093","https://openalex.org/W2054273865","https://openalex.org/W2065030431","https://openalex.org/W2078718577","https://openalex.org/W2080794127","https://openalex.org/W2087889616","https://openalex.org/W2098140213","https://openalex.org/W2100470808","https://openalex.org/W2107815783","https://openalex.org/W2116702374","https://openalex.org/W2125188192","https://openalex.org/W2141957843","https://openalex.org/W2141983208","https://openalex.org/W2142058898","https://openalex.org/W2156483112","https://openalex.org/W2179019672","https://openalex.org/W2209762097","https://openalex.org/W2266694576","https://openalex.org/W2341312851","https://openalex.org/W2474462684","https://openalex.org/W2557682050","https://openalex.org/W2589745805","https://openalex.org/W2621197300","https://openalex.org/W2767432184","https://openalex.org/W2795645133","https://openalex.org/W2809795042","https://openalex.org/W2906859782","https://openalex.org/W2912147220","https://openalex.org/W2963101071","https://openalex.org/W2964254721","https://openalex.org/W2971071255","https://openalex.org/W2989707943","https://openalex.org/W2994823534","https://openalex.org/W2996868574","https://openalex.org/W2999838674","https://openalex.org/W3007891240","https://openalex.org/W3084837759","https://openalex.org/W3105639468","https://openalex.org/W3108042295"],"related_works":["https://openalex.org/W4223981310","https://openalex.org/W4211167461","https://openalex.org/W4206140709","https://openalex.org/W3200694817","https://openalex.org/W3045795020","https://openalex.org/W2811293692","https://openalex.org/W2368323222","https://openalex.org/W2133135191","https://openalex.org/W1969377463","https://openalex.org/W1495814089"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,53,101],"infrared":[4],"(IR)":[5],"and":[6,40,60,100,121,168,182],"visible":[7],"(VIS)":[8],"image":[9,34,38,41,49,110,120,130,141,155],"fusion":[10,88,98,103,172],"algorithm":[11,173],"is":[12,46,70,90,111,135,156],"designed":[13],"for":[14,48],"the":[15,18,22,80,83,108,118,122,126,132,139,144,149,153,177],"injection":[16],"of":[17,31,72,82,94,117,125,152,170,179],"IR":[19,84,127,140],"objects":[20],"into":[21],"VIS":[23,119],"background":[24,115],"in":[25,51],"a":[26,61,95],"perceptual":[27],"manner.":[28],"It":[29,105],"consists":[30,93],"four":[32],"parts:":[33],"decomposition,":[35,50],"layer":[36],"fusion,":[37],"reconstruction,":[39,131],"refinement.":[42],"An":[43],"edge-preserving":[44],"filter":[45,69,134],"constructed":[47],"which":[52,92],"

$L_1$":[57],"regularization":[58],"term":[59],"fractional":[62],"gradient":[63],"are":[64,174],"newly":[65],"introduced.":[66],"The":[67,166],"resulting":[68],"capable":[71],"not":[73],"only":[74],"preserving":[75],"edges,":[76],"but":[77],"also":[78],"attenuating":[79],"influence":[81],"background.":[85],"A":[86],"two-layer":[87],"rule":[89,99],"adopted,":[91],"routine":[96],"weighted-average":[97],"injected":[102],"rule.":[104],"ensures":[106],"that":[107,148],"fused":[109,145,154],"with":[112,157],"both":[113],"rich":[114],"information":[116],"salient":[123],"features":[124],"image.":[128],"After":[129],"guided":[133],"applied":[136],"again":[137],"to":[138,142],"refine":[143],"image,":[146],"such":[147],"final":[150],"version":[151],"satisfactory":[158],"human":[159],"visual":[160],"perception":[161],"under":[162],"even":[163],"dim":[164],"lights.":[165],"effectiveness":[167],"superiority":[169],"our":[171],"illustrated":[175],"by":[176],"results":[178],"ablation":[180],"studies":[181],"comparative":[183],"experiments.":[184]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4213360337","counts_by_year":[{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":10}],"updated_date":"2025-01-03T08:16:35.627824","created_date":"2022-02-24"}