{"id":"https://openalex.org/W2293883257","doi":"https://doi.org/10.1109/icip.2015.7350995","title":"L&lt;inf&gt;1&lt;/inf&gt;-fusion: Robust linear-time image recovery from few severely corrupted copies","display_name":"L&lt;inf&gt;1&lt;/inf&gt;-fusion: Robust linear-time image recovery from few severely corrupted copies","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293883257","doi":"https://doi.org/10.1109/icip.2015.7350995","mag":"2293883257"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos P. Markopoulos","raw_affiliation_strings":["Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074974280","display_name":"Sandipan Kundu","orcid":"https://orcid.org/0000-0003-3806-6913"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandipan Kundu","raw_affiliation_strings":["Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052953883","display_name":"Dimitris A. Pados","orcid":"https://orcid.org/0000-0001-8959-6450"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris A. Pados","raw_affiliation_strings":["Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":2.1626,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94033335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1225","last_page":"1229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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":0.9983999729156494,"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","display_name":"Image (mathematics)","score":0.6214396953582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5287038087844849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795093834400177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4697083830833435}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6214396953582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5287038087844849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795093834400177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4697083830833435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W147992333","https://openalex.org/W1522271611","https://openalex.org/W1539726260","https://openalex.org/W1740511963","https://openalex.org/W1966533781","https://openalex.org/W1983700440","https://openalex.org/W1992633833","https://openalex.org/W2045079989","https://openalex.org/W2053300860","https://openalex.org/W2056370875","https://openalex.org/W2085692415","https://openalex.org/W2097073572","https://openalex.org/W2108382860","https://openalex.org/W2114582354","https://openalex.org/W2116857329","https://openalex.org/W2124272635","https://openalex.org/W2130754596","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2150490197","https://openalex.org/W2153663612","https://openalex.org/W2155311268","https://openalex.org/W2158682016","https://openalex.org/W2158940042","https://openalex.org/W2160547390","https://openalex.org/W2963484948","https://openalex.org/W4214806317","https://openalex.org/W6637603442","https://openalex.org/W6679536919"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,19],"address":[1],"the":[2,22,26,32,38,48,58,67,103,117,129,136,145,161,172],"problem":[3],"of":[4,9,31,47,57,86,98,105,109,134,141,147,160,168,182],"recovering":[5],"an":[6],"unknown":[7],"image":[8,33,50,60,113,174],"interest,":[10],"when":[11],"only":[12],"few,":[13],"severely":[14],"corrupted":[15,49],"copies":[16,51],"are":[17,41],"available.":[18],"employ,":[20],"for":[21,43,74,116,171],"first":[23,118],"time":[24,119],"in":[25],"literature,":[27],"corruption-resistant":[28],"L1-Principal-Components":[29],"(L1-PCs)":[30],"data-set":[34],"at":[35],"hand.":[36],"Specifically,":[37],"calculated":[39],"L1-PCs":[40],"used":[42],"reliability-based":[44],"patch-by-patch":[45],"fusion":[46],"into":[52],"a":[53,106],"single":[54],"high-quality":[55],"representation":[56],"original":[59],"(L1-fusion).":[61],"Our":[62],"experimental":[63],"studies":[64],"illustrate":[65],"that":[66,102,159],"proposed":[68],"method":[69],"offers":[70],"remarkable":[71],"recovery":[72],"results":[73],"several":[75],"common":[76],"corruption":[77,82,90],"types,":[78],"even":[79],"under":[80],"high":[81],"rate,":[83],"small":[84],"number":[85],"copies,":[87],"and":[88],"varying":[89],"type":[91],"among":[92],"copies.":[93],"An":[94],"additional":[95],"theoretical":[96],"contribution":[97],"this":[99,148],"work":[100],"is":[101,115,140,151],"L1-PC":[104],"data":[107],"matrix":[108,130],"non-negative":[110],"entries":[111],"(e.g.,":[112],"data)":[114],"shown":[120],"to":[121,128,158,175],"be":[122],"optimally":[123],"calculable":[124],"with":[125,154],"complexity":[126],"linear":[127,155],"dimensions":[131],"-":[132],"as":[133],"now,":[135],"fastest-known":[137],"optimal":[138],"algorithm":[139],"polynomial":[142],"complexity.":[143],"In":[144],"light":[146],"result,":[149],"L1-fusion":[150,169],"carried":[152],"out":[153],"cost":[156,167],"comparable":[157],"simple":[162],"copy-averaging":[163],"alternative.":[164],"The":[165],"linear-low":[166],"allows":[170],"recovered":[173],"be,":[176],"optionally,":[177],"further":[178],"refined":[179],"by":[180],"means":[181],"sophisticated":[183],"single-image":[184],"restoration":[185],"techniques.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
