{"id":"https://openalex.org/W2168783614","doi":"https://doi.org/10.1109/tim.2009.2026612","title":"Multifocus Image Fusion and Restoration With Sparse Representation","display_name":"Multifocus Image Fusion and Restoration With Sparse Representation","publication_year":2009,"publication_date":"2009-11-03","ids":{"openalex":"https://openalex.org/W2168783614","doi":"https://doi.org/10.1109/tim.2009.2026612","mag":"2168783614"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2009.2026612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2009.2026612","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5025719998","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0001-6127-3385"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Yang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025719998"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":10.1562,"has_fulltext":false,"cited_by_count":728,"citation_normalized_percentile":{"value":0.98179628,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"59","issue":"4","first_page":"884","last_page":"892"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9941999912261963,"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/contourlet","display_name":"Contourlet","score":0.8285625576972961},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.8228081464767456},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7884244918823242},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7422081232070923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379487752914429},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6364663243293762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5646011829376221},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5323569774627686},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5295064449310303},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5096523761749268},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5011274814605713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47459858655929565},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.45146891474723816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45127761363983154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.442113995552063},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.42215797305107117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.401762992143631},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23442032933235168}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8285625576972961},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.8228081464767456},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7884244918823242},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7422081232070923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379487752914429},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6364663243293762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5646011829376221},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5323569774627686},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5295064449310303},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5096523761749268},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5011274814605713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47459858655929565},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.45146891474723816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45127761363983154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.442113995552063},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.42215797305107117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.401762992143631},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23442032933235168},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2009.2026612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2009.2026612","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1763453483","https://openalex.org/W1977220117","https://openalex.org/W1985231173","https://openalex.org/W1985972181","https://openalex.org/W1998678264","https://openalex.org/W2005682787","https://openalex.org/W2014128063","https://openalex.org/W2020442368","https://openalex.org/W2021302824","https://openalex.org/W2028555274","https://openalex.org/W2031952819","https://openalex.org/W2038877715","https://openalex.org/W2042297216","https://openalex.org/W2048661006","https://openalex.org/W2050002311","https://openalex.org/W2056346283","https://openalex.org/W2078204800","https://openalex.org/W2082232962","https://openalex.org/W2091484864","https://openalex.org/W2093605161","https://openalex.org/W2103504761","https://openalex.org/W2106002835","https://openalex.org/W2106940366","https://openalex.org/W2112868428","https://openalex.org/W2113612290","https://openalex.org/W2114066324","https://openalex.org/W2116413081","https://openalex.org/W2120626801","https://openalex.org/W2122315118","https://openalex.org/W2131168375","https://openalex.org/W2143696753","https://openalex.org/W2145889472","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2162376456","https://openalex.org/W2167663707","https://openalex.org/W2170163526","https://openalex.org/W2171752891"],"related_works":["https://openalex.org/W2425229296","https://openalex.org/W2090236240","https://openalex.org/W2122170879","https://openalex.org/W3150496279","https://openalex.org/W2236419488","https://openalex.org/W2899721898","https://openalex.org/W2325058018","https://openalex.org/W2365283091","https://openalex.org/W2561072616","https://openalex.org/W3169504989"],"abstract_inverted_index":{"To":[0],"obtain":[1],"an":[2,65],"image":[3,47,58,81,101],"with":[4,21,61,73,121],"every":[5],"object":[6],"in":[7,111,162],"focus,":[8],"we":[9],"always":[10],"need":[11],"to":[12,36],"fuse":[13],"images":[14],"taken":[15],"from":[16,84],"the":[17,53,56,69,74,79,85,90,93,100,108,112,157],"same":[18],"view":[19],"point":[20],"different":[22],"focal":[23],"settings.":[24],"Multiresolution":[25],"transforms,":[26],"such":[27],"as":[28],"pyramid":[29],"decomposition":[30],"and":[31,89,103,140,165],"wavelet,":[32],"are":[33,71],"usually":[34],"used":[35],"solve":[37],"this":[38,41],"problem.":[39],"In":[40,52],"paper,":[42],"a":[43],"sparse":[44,62,87,113],"representation-based":[45],"multifocus":[46,150],"fusion":[48,76,95,104],"method":[49,118],"is":[50,59,82,119],"proposed.":[51],"method,":[54],"first,":[55],"source":[57],"represented":[60],"coefficients":[63,70,88],"using":[64],"overcomplete":[66],"dictionary.":[67,91],"Second,":[68],"combined":[72,86],"choose-max":[75],"rule.":[77],"Finally,":[78],"fused":[80],"reconstructed":[83],"Furthermore,":[92],"proposed":[94,117,158],"scheme":[96],"can":[97],"simultaneously":[98],"resolve":[99],"restoration":[102],"problem":[105],"by":[106],"changing":[107],"approximate":[109],"criterion":[110],"representation":[114],"algorithm.":[115],"The":[116,152],"compared":[120],"spatial":[122],"gradient":[123],"(SG)-,":[124],"morphological":[125],"wavelet":[126,130,134],"transform":[127,131,135,138,143],"(MWT)-,":[128],"discrete":[129],"(DWT)-,":[132],"stationary":[133],"(SWT)-,":[136],"curvelet":[137],"(CVT)-,":[139],"nonsubsampling":[141],"contourlet":[142],"(NSCT)-based":[144],"methods":[145],"on":[146],"several":[147],"pairs":[148],"of":[149],"images.":[151],"experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"approach":[159],"performs":[160],"better":[161],"both":[163],"subjective":[164],"objective":[166],"qualities.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":65},{"year":2023,"cited_by_count":67},{"year":2022,"cited_by_count":69},{"year":2021,"cited_by_count":77},{"year":2020,"cited_by_count":84},{"year":2019,"cited_by_count":78},{"year":2018,"cited_by_count":60},{"year":2017,"cited_by_count":52},{"year":2016,"cited_by_count":35},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":10}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}