{"id":"https://openalex.org/W2165668128","doi":"https://doi.org/10.1109/icsmc.2009.5346146","title":"Noise resilient image fusion based on orthogonal matching pursuit","display_name":"Noise resilient image fusion based on orthogonal matching pursuit","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2165668128","doi":"https://doi.org/10.1109/icsmc.2009.5346146","mag":"2165668128"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5084428542","display_name":"Bin Liao","orcid":"https://orcid.org/0000-0003-1853-7570"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Liao","raw_affiliation_strings":["School of Electric and Electronical Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electric and Electronical Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054530129","display_name":"Lixiong Liu","orcid":"https://orcid.org/0000-0001-8357-1113"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-xiong Liu","raw_affiliation_strings":["School of Computer Science&Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science&Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084428542"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74111467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"3112","last_page":"3115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/matching-pursuit","display_name":"Matching pursuit","score":0.8234139680862427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7414979934692383},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6823205351829529},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6636868119239807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453943252563477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6346359848976135},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6007182598114014},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5601083636283875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5520004034042358},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5116243958473206},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5033683180809021},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.49773386120796204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45830419659614563},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4070281684398651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3607524633407593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26009976863861084},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.13355901837348938}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8234139680862427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7414979934692383},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6823205351829529},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6636868119239807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453943252563477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6346359848976135},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6007182598114014},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5601083636283875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5520004034042358},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5116243958473206},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5033683180809021},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.49773386120796204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45830419659614563},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4070281684398651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3607524633407593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26009976863861084},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.13355901837348938},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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":12,"referenced_works":["https://openalex.org/W1563899710","https://openalex.org/W1804815620","https://openalex.org/W1964641132","https://openalex.org/W1977220117","https://openalex.org/W2005682787","https://openalex.org/W2096988354","https://openalex.org/W2103504761","https://openalex.org/W2128659236","https://openalex.org/W2151693816","https://openalex.org/W2159269332","https://openalex.org/W2160547390","https://openalex.org/W6638365866"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4297791310","https://openalex.org/W4372266926","https://openalex.org/W4245251483","https://openalex.org/W1998873033","https://openalex.org/W2116148865","https://openalex.org/W2366556501","https://openalex.org/W2965458591","https://openalex.org/W1520740474","https://openalex.org/W4254934694"],"abstract_inverted_index":{"A":[0],"novel":[1],"image":[2,35,96],"fusion":[3,87,95],"algorithm":[4,17,31,80],"based":[5],"on":[6],"orthogonal":[7],"matching":[8,29],"pursuit":[9,30],"(OMP)":[10],"is":[11,14,59],"proposed,":[12],"which":[13],"named":[15],"IFOMP":[16],"and":[18,63,66,93],"can":[19],"be":[20],"used":[21],"for":[22,61],"noise":[23,26],"free":[24],"or":[25],"images.":[27],"The":[28,56],"provides":[32],"an":[33,38],"efficient":[34],"representation":[36],"using":[37],"overcomplete":[39],"dictionary.":[40],"Firstly,":[41],"the":[42,70,78,94],"source":[43],"images":[44],"are":[45],"decomposed":[46],"into":[47],"sub-images":[48],"at":[49],"different":[50],"scales":[51],"through":[52],"Laplacian":[53],"pyramid":[54],"transform.":[55],"OMP":[57],"method":[58],"exploited":[60],"capturing":[62],"fusing":[64],"edges":[65],"texture":[67],"features":[68],"in":[69],"high":[71],"frequency":[72],"domain.":[73],"Experimental":[74],"results":[75],"show":[76],"that":[77],"proposed":[79],"improves":[81],"performance":[82],"compared":[83],"to":[84],"traditional":[85],"wavelet":[86],"with":[88],"slightly":[89],"increased":[90],"computational":[91],"complexity,":[92],"has":[97],"good":[98],"robustness.":[99]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
