{"id":"https://openalex.org/W3121774354","doi":"https://doi.org/10.3233/kes-190037","title":"Video super resolution using convolutional neural network and image fusion techniques","display_name":"Video super resolution using convolutional neural network and image fusion techniques","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W3121774354","doi":"https://doi.org/10.3233/kes-190037","mag":"3121774354"},"language":"en","primary_location":{"id":"doi:10.3233/kes-190037","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-190037","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","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/A5101402987","display_name":"Vikas Kumar","orcid":"https://orcid.org/0000-0003-4427-142X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikas Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Penn State University, Penn, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Penn State University, Penn, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021051196","display_name":"Tanupriya Choudhury","orcid":"https://orcid.org/0000-0002-9826-2759"},"institutions":[{"id":"https://openalex.org/I5847235","display_name":"University of Petroleum and Energy Studies","ror":"https://ror.org/04q2jes40","country_code":"IN","type":"education","lineage":["https://openalex.org/I5847235"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tanupriya Choudhury","raw_affiliation_strings":["Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I5847235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058475882","display_name":"Suresh Chandra Satapathy","orcid":"https://orcid.org/0000-0001-8236-4104"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Chandra Satapathy","raw_affiliation_strings":["KIIT Deemed to be University, Bhubaneswar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT Deemed to be University, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002759654","display_name":"Ravi Tomar","orcid":"https://orcid.org/0000-0002-8957-6756"},"institutions":[{"id":"https://openalex.org/I5847235","display_name":"University of Petroleum and Energy Studies","ror":"https://ror.org/04q2jes40","country_code":"IN","type":"education","lineage":["https://openalex.org/I5847235"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Tomar","raw_affiliation_strings":["Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I5847235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024809942","display_name":"Archit Aggarwal","orcid":"https://orcid.org/0000-0002-4815-8726"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Archit Aggarwal","raw_affiliation_strings":["Amity University, UttarPradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amity University, UttarPradesh, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021051196"],"corresponding_institution_ids":["https://openalex.org/I5847235"],"apc_list":null,"apc_paid":null,"fwci":0.2909,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53116527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"24","issue":"4","first_page":"279","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9954000115394592,"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":0.9890000224113464,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7938230037689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7824435830116272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7191400527954102},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6191709041595459},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5899329781532288},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5621441006660461},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5276093482971191},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.5209278464317322},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.4931938052177429},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.412663996219635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3668375611305237},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.299038827419281},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.1420411765575409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.094464510679245},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05823397636413574}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7938230037689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824435830116272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7191400527954102},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6191709041595459},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5899329781532288},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5621441006660461},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5276093482971191},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.5209278464317322},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.4931938052177429},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.412663996219635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3668375611305237},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.299038827419281},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.1420411765575409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.094464510679245},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05823397636413574},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/kes-190037","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-190037","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2074682865","https://openalex.org/W2121058967","https://openalex.org/W2122632184","https://openalex.org/W2128637285","https://openalex.org/W2149669120","https://openalex.org/W2210480155","https://openalex.org/W2250384498","https://openalex.org/W2295124130","https://openalex.org/W2320725294","https://openalex.org/W2735766064","https://openalex.org/W2783348085","https://openalex.org/W2948387159","https://openalex.org/W2954979538","https://openalex.org/W6678865385","https://openalex.org/W6688487861"],"related_works":["https://openalex.org/W1994545243","https://openalex.org/W2554736181","https://openalex.org/W2025530126","https://openalex.org/W2113253671","https://openalex.org/W2688472305","https://openalex.org/W2135032339","https://openalex.org/W2768026498","https://openalex.org/W1992520687","https://openalex.org/W2120771670","https://openalex.org/W2104599718"],"abstract_inverted_index":{"Recently,":[0],"huge":[1,41],"progress":[2],"has":[3,104],"been":[4],"achieved":[5],"in":[6],"the":[7,16,44,79],"field":[8,58],"of":[9,18,47,59,81],"single":[10,133,164,203],"image":[11,86,204],"super":[12,23,49,99,183,207],"resolution":[13,17,24,100,135,150,184,208],"which":[14,124],"augments":[15],"images.":[19,32],"The":[20],"idea":[21],"behind":[22],"is":[25,61,169,178],"to":[26,63,94,130,147,158],"convert":[27],"low-resolution":[28],"images":[29,70],"into":[30,162],"high-resolution":[31],"SRCNN":[33,83,142],"(Single":[34],"Resolution":[35,118],"Convolutional":[36],"Neural":[37],"Network)":[38],"was":[39],"a":[40,132,138,144,155,163,196],"improvement":[42,198],"over":[43,96,199],"existing":[45,97],"methods":[46],"single-image":[48],"resolution.":[50],"However,":[51],"video":[52,98,182],"super-resolution,":[53],"despite":[54],"being":[55],"an":[56],"active":[57],"research,":[60],"yet":[62],"benefit":[64],"from":[65,74,127],"deep":[66],"learning.":[67],"Using":[68],"still":[69],"and":[71,112,153,171,201,205],"videos":[72],"downloaded":[73],"various":[75],"sources,":[76],"we":[77,190],"explore":[78],"possibility":[80],"using":[82],"along":[84],"with":[85],"fusion":[87],"techniques":[88],"(minima,":[89],"maxima,":[90],"average,":[91],"PCA,":[92],"DWT)":[93],"improve":[95],"methods.":[101,185],"Video":[102,116],"Super-Resolution":[103],"inherent":[105],"difficulties":[106],"such":[107],"as":[108,143],"unexpected":[109],"motion,":[110],"blur":[111],"noise.":[113],"We":[114,140],"propose":[115],"Super":[117],"\u2013":[119],"Image":[120],"Fusion":[121],"(VSR-IF)":[122],"architecture":[123],"utilizes":[125],"information":[126],"multiple":[128],"frames":[129,152,161],"produce":[131],"high-":[134],"frame":[136,206],"for":[137],"video.":[139],"use":[141,154],"reference":[145],"model":[146],"obtain":[148],"high":[149],"adjacent":[151],"concatenation":[156],"layer":[157],"group":[159],"those":[160],"frame.":[165],"Since,":[166],"our":[167,188,193],"method":[168],"data-driven":[170],"requires":[172],"only":[173],"minimal":[174],"initial":[175],"training,":[176],"it":[177],"faster":[179],"than":[180],"other":[181,202],"After":[186],"testing":[187],"program,":[189],"find":[191],"that":[192],"technique":[194],"shows":[195],"significant":[197],"SCRNN":[200],"techniques.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}