{"id":"https://openalex.org/W3112409853","doi":"https://doi.org/10.1109/jstsp.2020.3042063","title":"Qualitative HD Image and Video Recovery via High-Order Tensor Augmentation and Completion","display_name":"Qualitative HD Image and Video Recovery via High-Order Tensor Augmentation and Completion","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3112409853","doi":"https://doi.org/10.1109/jstsp.2020.3042063","mag":"3112409853"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2020.3042063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3042063","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5005131372","display_name":"Pham Minh Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Pham Minh Hoang","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Vietnam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046645515","display_name":"Hoang Duong Tuan","orcid":"https://orcid.org/0000-0003-0292-6061"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hoang Duong Tuan","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067418754","display_name":"Tr\u1ea7n Th\u00e1i S\u01a1n","orcid":"https://orcid.org/0000-0002-4063-7095"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Thai Son","raw_affiliation_strings":["Faculty of Information Technology, University of Science, VNU-HCM, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Science, VNU-HCM, Vietnam","institution_ids":["https://openalex.org/I23582244","https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005131372"],"corresponding_institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"],"apc_list":null,"apc_paid":null,"fwci":0.3925,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63387633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"15","issue":"3","first_page":"688","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7515698075294495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5519527792930603},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5497716069221497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48908430337905884},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.47646379470825195},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4739570617675781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4327157139778137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4086850881576538},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3824727535247803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3797801733016968},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10827463865280151},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07253533601760864}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7515698075294495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519527792930603},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5497716069221497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48908430337905884},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.47646379470825195},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4739570617675781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4327157139778137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4086850881576538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3824727535247803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3797801733016968},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10827463865280151},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07253533601760864},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2020.3042063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3042063","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1739869781","display_name":null,"funder_award_id":"CCF-0939370","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7920959503","display_name":null,"funder_award_id":"CCF-1908308","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320328932","display_name":"Institute for Computational Science and Technology","ror":"https://ror.org/02w2wps72"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1563049925","https://openalex.org/W1568416770","https://openalex.org/W1968080575","https://openalex.org/W1993482030","https://openalex.org/W1998930608","https://openalex.org/W2024165284","https://openalex.org/W2029411311","https://openalex.org/W2030928609","https://openalex.org/W2036604884","https://openalex.org/W2038891887","https://openalex.org/W2060204507","https://openalex.org/W2067042811","https://openalex.org/W2078677240","https://openalex.org/W2091449379","https://openalex.org/W2133665775","https://openalex.org/W2147512299","https://openalex.org/W2412278696","https://openalex.org/W2523623965","https://openalex.org/W2793829147","https://openalex.org/W2804744787","https://openalex.org/W2810325916","https://openalex.org/W2884847196","https://openalex.org/W2894900504","https://openalex.org/W2896928944","https://openalex.org/W2899051391","https://openalex.org/W2910457605","https://openalex.org/W2918050465","https://openalex.org/W2962687417","https://openalex.org/W2962702033","https://openalex.org/W3098683815","https://openalex.org/W3124414826","https://openalex.org/W6633544067"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,24,27,46,54,68],"new":[4,47],"framework":[5],"for":[6,156],"severely":[7],"distorted":[8],"image":[9,144],"and":[10,16,88,139,145,159],"video":[11,62,146],"recovery":[12,153],"via":[13,112],"tensor":[14,29,50,57,102,113],"augmentation":[15,51,78],"completion.":[17],"By":[18],"considering":[19],"the":[20,34,76,93,99,121],"task":[21],"of":[22,32,58,79,84,92,124,131],"representing":[23],"matrix":[25,110],"by":[26,39,105],"high-order-$n$":[28],"as":[30,135],"that":[31,148],"encoding":[33],"matrix's":[35],"2-D":[36],"indices":[37],"$(i,j)$":[38],"$n$-digit":[40],"words":[41],"$i_1i_2\\dots":[42],"i_n$,":[43],"we":[44],"develop":[45],"high":[48,152],"order":[49,56,70,96],"to":[52,75,119,150],"cast":[53],"third":[55,95],"color":[59],"images":[60,158],"or":[61],"sequences":[63],"containing":[64],"missing":[65,163],"pixels":[66],"into":[67],"higher":[69],"tensor,":[71],"which":[72],"is":[73,82,103],"similar":[74],"ket":[77],"quantum":[80],"physics,":[81],"capable":[83],"capturing":[85],"all":[86],"correlations":[87],"entanglements":[89],"between":[90],"entries":[91],"original":[94],"tensor.":[97],"Accordingly,":[98],"resuling":[100],"high-order":[101],"completed":[104],"our":[106,125],"previously":[107],"developed":[108],"parallel":[109],"factorization":[111],"train":[114],"decomposition.":[115],"Simulations":[116],"are":[117],"provided":[118],"show":[120],"clear":[122],"advantages":[123],"approach":[126],"in":[127,143],"enhancing":[128],"important":[129],"metrics":[130],"visual":[132],"quality":[133],"such":[134],"relative":[136],"square":[137],"error":[138],"structural":[140],"similarity":[141],"index":[142],"processing":[147],"help":[149],"achieve":[151],"rates":[154],"even":[155],"high-definition":[157],"videos":[160],"with":[161],"95%":[162],"pixels.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
