{"id":"https://openalex.org/W2274060610","doi":"https://doi.org/10.1109/tip.2016.2523344","title":"Blind Super Resolution of Real-Life Video Sequences","display_name":"Blind Super Resolution of Real-Life Video Sequences","publication_year":2016,"publication_date":"2016-01-28","ids":{"openalex":"https://openalex.org/W2274060610","doi":"https://doi.org/10.1109/tip.2016.2523344","mag":"2274060610","pmid":"https://pubmed.ncbi.nlm.nih.gov/26849862"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2523344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2523344","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5042152827","display_name":"Esmaeil Faramarzi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Esmaeil Faramarzi","raw_affiliation_strings":["Samsung Research America, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101461097","display_name":"Dinesh Rajan","orcid":"https://orcid.org/0000-0001-9871-0681"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Rajan","raw_affiliation_strings":["Southern Methodist University, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081848289","display_name":"Felix C. A. Fernandes","orcid":"https://orcid.org/0000-0002-1859-1799"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix C. A. Fernandes","raw_affiliation_strings":["Samsung Research America, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Research America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069504176","display_name":"Marc P. Christensen","orcid":"https://orcid.org/0000-0002-2386-9863"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc P. Christensen","raw_affiliation_strings":["Southern Methodist University, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9888,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90696848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"4","first_page":"1544","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6952701807022095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6821187734603882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581308841705322},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5950718522071838},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5391649603843689},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5056045055389404},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45541146397590637},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.45088398456573486},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4417579174041748},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4217948615550995},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4117792248725891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3998800814151764},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.17305317521095276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16222065687179565},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.12021088600158691}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6952701807022095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6821187734603882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581308841705322},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5950718522071838},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5391649603843689},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5056045055389404},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45541146397590637},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.45088398456573486},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4417579174041748},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4217948615550995},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4117792248725891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3998800814151764},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.17305317521095276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16222065687179565},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.12021088600158691}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2523344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2523344","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:26849862","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26849862","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W70234347","https://openalex.org/W110298896","https://openalex.org/W1598281290","https://openalex.org/W1811400895","https://openalex.org/W1976730913","https://openalex.org/W1979606177","https://openalex.org/W1981990039","https://openalex.org/W1983041613","https://openalex.org/W1984859941","https://openalex.org/W1987075379","https://openalex.org/W2010981316","https://openalex.org/W2013430112","https://openalex.org/W2035536258","https://openalex.org/W2036682493","https://openalex.org/W2054696696","https://openalex.org/W2057220024","https://openalex.org/W2061052400","https://openalex.org/W2062042218","https://openalex.org/W2067042811","https://openalex.org/W2081385919","https://openalex.org/W2082789158","https://openalex.org/W2098535678","https://openalex.org/W2098841537","https://openalex.org/W2099244020","https://openalex.org/W2099412590","https://openalex.org/W2101046204","https://openalex.org/W2103913786","https://openalex.org/W2109440993","https://openalex.org/W2109586214","https://openalex.org/W2116618478","https://openalex.org/W2117998419","https://openalex.org/W2124875329","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2154409533","https://openalex.org/W2154571593","https://openalex.org/W2155675678","https://openalex.org/W2156394893","https://openalex.org/W2167163859","https://openalex.org/W2167400582","https://openalex.org/W2171611161","https://openalex.org/W2505094182","https://openalex.org/W2912536233","https://openalex.org/W2996868574","https://openalex.org/W3209818445","https://openalex.org/W4247043502","https://openalex.org/W6602853498","https://openalex.org/W6674632333"],"related_works":["https://openalex.org/W2119272083","https://openalex.org/W2017493107","https://openalex.org/W2127643882","https://openalex.org/W2093730733","https://openalex.org/W2368216805","https://openalex.org/W2804074974","https://openalex.org/W1966058649","https://openalex.org/W2533334877","https://openalex.org/W2378723235","https://openalex.org/W43932062"],"abstract_inverted_index":{"Super":[0],"resolution":[1,33],"(SR)":[2],"for":[3,102,170],"real-life":[4,171],"video":[5,35],"sequences":[6],"is":[7,27,64,84,107,148],"a":[8,22,59,77,88,124,155],"challenging":[9],"problem":[10],"due":[11,161],"to":[12,29,66,139,158,162],"complex":[13,176],"nature":[14],"of":[15,34,43,134,192],"the":[16,31,38,44,56,68,72,98,105,110,115,129,190,193],"motion":[17,47],"fields.":[18],"In":[19],"this":[20],"paper,":[21],"novel":[23],"blind":[24],"SR":[25,62],"method":[26,63,188],"proposed":[28,187],"improve":[30],"spatial":[32],"sequences,":[36],"while":[37],"overall":[39],"point":[40],"spread":[41],"function":[42,126],"imaging":[45],"system,":[46],"fields,":[48],"and":[49,70,92,131,142,202],"noise":[50],"statistics":[51],"are":[52,121,168,207],"unknown.":[53],"To":[54],"estimate":[55],"blur(s),":[57],"first,":[58],"nonuniform":[60],"interpolation":[61],"utilized":[65],"upsample":[67],"frames,":[69],"then,":[71],"blur(s)":[73],"is(are)":[74],"estimated":[75,108,122],"through":[76,199],"multi-scale":[78],"process.":[79],"The":[80,118,145,186,205],"blur":[81,106],"estimation":[82],"process":[83],"initially":[85],"performed":[86,197],"on":[87,94],"few":[89],"emphasized":[90],"edges":[91,96,141],"gradually":[93],"more":[95],"as":[97],"iterations":[99],"continue.":[100],"Also":[101],"faster":[103],"convergence,":[104],"in":[109,195],"filter":[111],"domain":[112],"rather":[113],"than":[114],"pixel":[116],"domain.":[117],"high-resolution":[119],"frames":[120],"using":[123,154],"cost":[125],"that":[127],"has":[128],"fidelity":[130,146],"regularization":[132],"terms":[133],"type":[135],"Huber-Markov":[136],"random":[137],"field":[138],"preserve":[140],"fine":[143],"details.":[144],"term":[147],"adaptively":[149],"weighted":[150],"at":[151,210],"each":[152],"iteration":[153],"masking":[156],"operation":[157],"suppress":[159],"artifacts":[160],"inaccurate":[163],"motions.":[164],"Very":[165],"promising":[166],"results":[167,206],"obtained":[169],"videos":[172],"containing":[173],"detailed":[174],"structures,":[175],"motions,":[177],"fast-moving":[178],"objects,":[179],"deformable":[180],"regions,":[181],"or":[182],"severe":[183],"brightness":[184],"changes.":[185],"outperforms":[189],"state":[191],"art":[194],"all":[196],"experiments":[198],"both":[200],"subjective":[201],"objective":[203],"evaluations.":[204],"available":[208],"online":[209],"http://lyle.smu.edu/~rajand/Video_SR/.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
