{"id":"https://openalex.org/W1997480692","doi":"https://doi.org/10.1049/iet-ipr.2014.0311","title":"Simultaneous image fusion and denoising with adaptive sparse representation","display_name":"Simultaneous image fusion and denoising with adaptive sparse representation","publication_year":2014,"publication_date":"2014-10-15","ids":{"openalex":"https://openalex.org/W1997480692","doi":"https://doi.org/10.1049/iet-ipr.2014.0311","mag":"1997480692"},"language":"en","primary_location":{"id":"doi:10.1049/iet-ipr.2014.0311","doi":"https://doi.org/10.1049/iet-ipr.2014.0311","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2014.0311","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2014.0311","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W1997480692"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2014.0311","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535","observed_orcids":["https://orcid.org/0000-0003-2211-3535","https://orcid.org/0000-0001-9309-8112"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, 230026 People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, 230026 People's Republic of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103123751","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-1859-900X","observed_orcids":["https://orcid.org/0000-0003-1859-900X"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengfu Wang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, 230026 People's Republic of China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031 People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, 230026 People's Republic of China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031 People's Republic of China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100618357"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2740,"currency":"USD","value_usd":2740},"apc_paid":null,"fwci":8.7437,"has_fulltext":true,"cited_by_count":351,"citation_normalized_percentile":{"value":0.98204755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"9","issue":"5","first_page":"347","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.7476000189781189,"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":0.7476000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.24979999661445618,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0007999999797903001,"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/image-fusion","display_name":"image fusion","score":0.9200000166893005},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9990000128746033},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.8830000162124634},{"id":"https://openalex.org/keywords/dictionary-selection","display_name":"dictionary selection","score":0.6980000138282776},{"id":"https://openalex.org/keywords/multi-focus-images","display_name":"multi-focus images","score":0.9629999995231628},{"id":"https://openalex.org/keywords/multimodal-images","display_name":"multimodal images","score":0.8659999966621399},{"id":"https://openalex.org/keywords/visual-artifacts","display_name":"visual artifacts","score":0.8769999742507935}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7874075770378113},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6669767498970032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534435749053955},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6281031370162964},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6279518604278564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6232617497444153},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5989054441452026},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.595382034778595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5473922491073608},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5138195157051086},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5088039040565491},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/iet-ipr.2014.0311","doi":"https://doi.org/10.1049/iet-ipr.2014.0311","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2014.0311","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2014.0311","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1049/iet-ipr.2014.0311","doi":"https://doi.org/10.1049/iet-ipr.2014.0311","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-ipr.2014.0311","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2014.0311","source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1997480692.pdf","grobid_xml":"https://content.openalex.org/works/W1997480692.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W123101483","https://openalex.org/W978332217","https://openalex.org/W1538481717","https://openalex.org/W1763453483","https://openalex.org/W1964641132","https://openalex.org/W1985972181","https://openalex.org/W1994714721","https://openalex.org/W2003872635","https://openalex.org/W2013756948","https://openalex.org/W2020442368","https://openalex.org/W2025133197","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2034995331","https://openalex.org/W2039608780","https://openalex.org/W2048661006","https://openalex.org/W2058424987","https://openalex.org/W2083388902","https://openalex.org/W2091484864","https://openalex.org/W2093605161","https://openalex.org/W2106002835","https://openalex.org/W2107115785","https://openalex.org/W2108283046","https://openalex.org/W2113199232","https://openalex.org/W2114122776","https://openalex.org/W2114207195","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2131168375","https://openalex.org/W2132680427","https://openalex.org/W2133135191","https://openalex.org/W2133665775","https://openalex.org/W2142060261","https://openalex.org/W2145889472","https://openalex.org/W2151103935","https://openalex.org/W2151693816","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2161991491","https://openalex.org/W2166339695","https://openalex.org/W2168783614","https://openalex.org/W2170726488"],"related_works":["https://openalex.org/W2003872635","https://openalex.org/W2595534448","https://openalex.org/W2977461977","https://openalex.org/W2532801510","https://openalex.org/W2040833130","https://openalex.org/W2758520473","https://openalex.org/W2624240493","https://openalex.org/W2709756329","https://openalex.org/W2066992195","https://openalex.org/W2806456004"],"abstract_inverted_index":{"In":[0,41,80],"this":[1],"study,":[2],"a":[3,19,45,88,92,132],"novel":[4],"adaptive":[5],"sparse":[6,24],"representation":[7,25],"(ASR)":[8],"model":[9],"is":[10,49,128],"presented":[11],"for":[12,131],"simultaneous":[13],"image":[14,33,64,103,137,145],"fusion":[15,120,151],"and":[16,39,121,143,165],"denoising.":[17],"As":[18],"powerful":[20],"signal":[21,54],"modelling":[22],"technique,":[23],"(SR)":[26],"has":[27],"been":[28,107],"successfully":[29],"employed":[30],"in":[31,70,159],"many":[32],"processing":[34],"applications":[35],"such":[36],"as":[37,74,76],"denoising":[38,122],"fusion.":[40],"traditional":[42],"SR\u2010based":[43,157],"applications,":[44],"highly":[46],"redundant":[47,90],"dictionary":[48],"always":[50],"needed":[51],"to":[52],"satisfy":[53],"reconstruction":[55],"requirement":[56],"since":[57],"the":[58,81,119,126,149,155],"structures":[59],"vary":[60],"significantly":[61],"across":[62],"different":[63],"patches.":[65,138],"However,":[66],"it":[67],"may":[68],"result":[69],"potential":[71],"visual":[72,163],"artefacts":[73],"well":[75],"high":[77],"computational":[78],"cost.":[79],"proposed":[82],"ASR":[83],"model,":[84],"instead":[85],"of":[86,94,125,135,161],"learning":[87],"single":[89],"dictionary,":[91],"set":[93,134],"more":[95],"compact":[96],"sub\u2010dictionaries":[97,127],"are":[98],"learned":[99],"from":[100],"numerous":[101],"high\u2010quality":[102],"patches":[104],"which":[105],"have":[106],"pre\u2010classified":[108],"into":[109],"several":[110],"corresponding":[111],"categories":[112],"based":[113],"on":[114,141],"their":[115],"gradient":[116],"information.":[117],"At":[118],"processes,":[123],"one":[124],"adaptively":[129],"selected":[130],"given":[133],"source":[136],"Experimental":[139],"results":[140],"multi\u2010focus":[142],"multi\u2010modal":[144],"sets":[146],"demonstrate":[147],"that":[148],"ASR\u2010based":[150],"method":[152,158],"can":[153],"outperform":[154],"conventional":[156],"terms":[160],"both":[162],"quality":[164],"objective":[166],"assessment.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":60},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":51},{"year":2019,"cited_by_count":49},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2016-06-24T00:00:00"}