{"id":"https://openalex.org/W7119982566","doi":"https://doi.org/10.1007/s11042-026-21990-4","title":"Fourier-enhanced TecoGAN: advancing video super-resolution with spectral and gradient losses","display_name":"Fourier-enhanced TecoGAN: advancing video super-resolution with spectral and gradient losses","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7119982566","doi":"https://doi.org/10.1007/s11042-026-21990-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-026-21990-4","doi":"https://doi.org/10.1007/s11042-026-21990-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-026-21990-4","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-8401515/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159760885","display_name":"Md. Asif Hasan","orcid":"https://orcid.org/0009-0006-3542-5115","observed_orcids":["https://orcid.org/0009-0006-3542-5115"]},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md Asif Hasan","raw_affiliation_strings":["Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0006-3542-5115","affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122500193","display_name":"Radee Jamil Khan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Radee Jamil Khan","raw_affiliation_strings":["Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5159760885"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.002400000113993883,"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/T11019","display_name":"Image Enhancement Techniques","score":0.00019999999494757503,"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/video-super-resolution","display_name":"video super-resolution","score":1.0},{"id":"https://openalex.org/keywords/spectral-loss","display_name":"spectral loss","score":0.5730000138282776},{"id":"https://openalex.org/keywords/checkerboard-artifacts","display_name":"checkerboard artifacts","score":0.6359999775886536},{"id":"https://openalex.org/keywords/residual-in-residual-dense-blocks","display_name":"residual-in-residual dense blocks","score":0.800000011920929},{"id":"https://openalex.org/keywords/spectral-normalization","display_name":"spectral normalization","score":0.9919999837875366},{"id":"https://openalex.org/keywords/temporal-coherence","display_name":"temporal coherence","score":0.7149999737739563},{"id":"https://openalex.org/keywords/high-frequency-detail-recovery","display_name":"high-frequency detail recovery","score":0.6940000057220459}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8004999756813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427999973297119},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5859000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5239999890327454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4927999973297119},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3725999891757965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.3447999954223633},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2551000118255615}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11042-026-21990-4","doi":"https://doi.org/10.1007/s11042-026-21990-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-026-21990-4","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-8401515/v1","doi":"https://doi.org/10.21203/rs.3.rs-8401515/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-8401515/v1","pdf_url":"https://www.researchsquare.com/article/rs-8401515/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-8401515/v1","doi":"https://doi.org/10.21203/rs.3.rs-8401515/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-8401515/v1","pdf_url":"https://www.researchsquare.com/article/rs-8401515/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316680","display_name":"University of Engineering and Technology, Lahore","ror":"https://ror.org/0051w2v06"},{"id":"https://openalex.org/F4320329409","display_name":"Rajshahi University","ror":"https://ror.org/05nnyr510"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7119982566.pdf","grobid_xml":"https://content.openalex.org/works/W7119982566.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W1973788353","https://openalex.org/W1981990039","https://openalex.org/W2320725294","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2735224642","https://openalex.org/W2783348085","https://openalex.org/W2798664922","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2923834406","https://openalex.org/W2962785568","https://openalex.org/W2963470893","https://openalex.org/W2965669158","https://openalex.org/W2996880115","https://openalex.org/W3107955907","https://openalex.org/W3157035436","https://openalex.org/W3166727904","https://openalex.org/W4401536605","https://openalex.org/W4404011869","https://openalex.org/W4405906816","https://openalex.org/W4406397795","https://openalex.org/W4411873534","https://openalex.org/W4414594811"],"related_works":["https://openalex.org/W4248539223","https://openalex.org/W4402657497","https://openalex.org/W4413155801","https://openalex.org/W3035975550","https://openalex.org/W2901142221","https://openalex.org/W7217530454","https://openalex.org/W4200035048","https://openalex.org/W3113770758","https://openalex.org/W4390480146","https://openalex.org/W4406354408"],"abstract_inverted_index":{"Abstract":[0],"Video":[1],"super-resolution":[2],"(VSR)":[3],"aims":[4],"to":[5,39,64,100,112,127,136,157,205],"reconstruct":[6],"high-resolution":[7],"(HR)":[8],"video":[9],"frames":[10],"from":[11,98],"low-resolution":[12],"(LR)":[13],"inputs":[14],"by":[15,184],"exploiting":[16],"both":[17],"spatial":[18],"details":[19],"and":[20,34,43,60,88,104,140,153,179,187,200,211],"temporal":[21,189,202],"dependencies":[22],"across":[23],"frames.":[24],"The":[25],"TecoGAN":[26,75],"framework":[27,81],"introduced":[28],"adversarial":[29,151],"training":[30,145],"with":[31,109,132],"spatio-temporal":[32],"discriminators":[33],"a":[35,118,133,149],"novel":[36],"Ping-Pong":[37],"loss":[38,120,135,152],"generate":[40],"perceptually":[41],"realistic":[42],"temporally":[44],"coherent":[45],"videos.":[46],"However,":[47],"TecoGAN\u2019s":[48],"generator":[49],"architecture":[50],"relies":[51],"on":[52,162],"transposed":[53,106],"convolutions,":[54],"which":[55],"can":[56],"introduce":[57,117],"checkerboard":[58],"artifacts,":[59],"has":[61],"limited":[62],"capacity":[63],"recover":[65],"fine":[66],"high-frequency":[67,129],"details.":[68,142],"In":[69],"this":[70],"paper,":[71],"we":[72,92,147],"propose":[73],"Fourier-Enhanced":[74],",":[76],"an":[77],"improved":[78,177,201],"GAN-based":[79],"VSR":[80,208],"that":[82,121,167],"addresses":[83],"these":[84],"limitations":[85],"through":[86],"architectural":[87],"loss-function":[89],"enhancements.":[90],"Specifically,":[91],"adopt":[93],"Residual-in-Residual":[94],"Dense":[95],"Blocks":[96],"(RRDBs)":[97],"ESRGAN":[99],"strengthen":[101],"feature":[102],"extraction,":[103],"replace":[105],"convolution":[107],"upsampling":[108],"PixelShuffle":[110],"layers":[111],"reduce":[113],"artifacts.":[114],"We":[115],"further":[116,196],"frequency-aware":[119],"operates":[122],"in":[123],"the":[124,158,163,168,173],"Fourier":[125],"domain":[126],"emphasize":[128],"reconstruction,":[130],"along":[131],"gradient-magnitude":[134],"better":[137],"preserve":[138],"edges":[139],"structural":[141],"To":[143],"improve":[144],"stability,":[146],"employ":[148],"hinge-based":[150],"apply":[154],"spectral":[155],"normalization":[156],"discriminator.":[159],"Experimental":[160],"results":[161,195],"REDS":[164],"dataset":[165],"demonstrate":[166],"proposed":[169],"method":[170],"consistently":[171],"outperforms":[172],"original":[174],"TecoGAN,":[175],"achieving":[176],"PSNR":[178],"SSIM":[180],"while":[181],"reducing":[182],"LPIPS":[183],"approximately":[185],"20%":[186],"lowering":[188],"optical":[190],"flow":[191],"error":[192],"(tOF).":[193],"Qualitative":[194],"show":[197],"sharper":[198],"textures":[199],"stability":[203],"compared":[204],"prior":[206],"state-of-the-art":[207],"methods.":[209],"Code":[210],"pretrained":[212],"models":[213],"will":[214],"be":[215],"released":[216],"upon":[217],"publication.":[218]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-01-10T00:00:00"}