{"id":"https://openalex.org/W1774287431","doi":"https://doi.org/10.1109/globalsip.2015.7418335","title":"Guided signal reconstruction with application to image magnification","display_name":"Guided signal reconstruction with application to image magnification","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W1774287431","doi":"https://doi.org/10.1109/globalsip.2015.7418335","mag":"1774287431"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2015.7418335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1509.02465","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109426846","display_name":"Akshay Gadde","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Akshay Gadde","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064449686","display_name":"Andrew Knyazev","orcid":"https://orcid.org/0000-0002-1635-3711"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Andrew Knyazev","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories","Mitsubishi Electric Research Laboratories,"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016854114","display_name":"Dong Tian","orcid":"https://orcid.org/0000-0002-2310-0974"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Dong Tian","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories","Mitsubishi Electric Research Laboratories,"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101648073","display_name":"Hassan Mansour","orcid":"https://orcid.org/0000-0002-1667-9885"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Hassan Mansour","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories","Mitsubishi Electric Research Laboratories,"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,","institution_ids":["https://openalex.org/I4210133125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109426846"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"],"apc_list":null,"apc_paid":null,"fwci":1.0783,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77080766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"938","last_page":"942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.996399998664856,"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":0.9957000017166138,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7842754125595093},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6266919374465942},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5976018905639648},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5720180869102478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624105334281921},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.5399553775787354},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5095358490943909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5054986476898193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5042399168014526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4842245578765869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4821431338787079},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.44562095403671265},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.43415436148643494},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4332614839076996},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42307087779045105},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4184228181838989},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4151949882507324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37098199129104614},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3578068017959595},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.32848042249679565},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2893909215927124}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7842754125595093},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6266919374465942},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5976018905639648},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5720180869102478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624105334281921},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5399553775787354},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5095358490943909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5054986476898193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5042399168014526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4842245578765869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4821431338787079},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.44562095403671265},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.43415436148643494},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4332614839076996},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42307087779045105},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4184228181838989},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4151949882507324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37098199129104614},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3578068017959595},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.32848042249679565},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2893909215927124},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globalsip.2015.7418335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2015.7418335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1509.02465","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.02465","pdf_url":"https://arxiv.org/pdf/1509.02465","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1509.02465","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.02465","pdf_url":"https://arxiv.org/pdf/1509.02465","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W76143023","https://openalex.org/W1543145162","https://openalex.org/W1591013319","https://openalex.org/W1902027874","https://openalex.org/W2013180153","https://openalex.org/W2030319053","https://openalex.org/W2067042811","https://openalex.org/W2088188946","https://openalex.org/W2095414057","https://openalex.org/W2115789358","https://openalex.org/W2125427453","https://openalex.org/W2129978050","https://openalex.org/W2135567392","https://openalex.org/W2135674907","https://openalex.org/W2147722152","https://openalex.org/W2151667147","https://openalex.org/W2475745365","https://openalex.org/W2962823049","https://openalex.org/W4293363435","https://openalex.org/W6681996158","https://openalex.org/W6721667761"],"related_works":["https://openalex.org/W4256609757","https://openalex.org/W2152595177","https://openalex.org/W2041117173","https://openalex.org/W2022127494","https://openalex.org/W1810141276","https://openalex.org/W1977757029","https://openalex.org/W2005715326","https://openalex.org/W2418534670","https://openalex.org/W2047186806","https://openalex.org/W2138031928"],"abstract_inverted_index":{"We":[0,30,46],"study":[1],"the":[2,43,69,78],"problem":[3],"of":[4,27,68,87],"reconstructing":[5],"a":[6,12,20,38],"signal":[7,16],"from":[8],"its":[9],"projection":[10],"on":[11,52],"subspace.":[13],"The":[14,66],"proposed":[15,70],"reconstruction":[17,91],"algorithms":[18],"utilize":[19],"guiding":[21],"subspace":[22],"that":[23,32,86],"represents":[24],"desired":[25],"properties":[26],"reconstructed":[28,34,79],"signals.":[29],"show":[31],"optimal":[33,58],"signals":[35],"belong":[36],"to":[37,56,84],"convex":[39],"bounded":[40],"set,":[41],"called":[42],"\"reconstruction\"":[44],"set.":[45],"also":[47],"develop":[48],"iterative":[49],"algorithms,":[50],"based":[51],"conjugate":[53],"gradient":[54],"methods,":[55],"approximate":[57],"reconstructions":[59],"with":[60],"low":[61],"memory":[62],"and":[63,89],"computational":[64],"costs.":[65],"effectiveness":[67],"approach":[71],"is":[72,82],"demonstrated":[73],"for":[74],"image":[75,80],"magnification,":[76],"where":[77],"quality":[81],"shown":[83],"exceed":[85],"consistent":[88],"generalized":[90],"schemes.":[92]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}