{"id":"https://openalex.org/W4413860502","doi":"https://doi.org/10.32604/cmc.2025.069784","title":"3D Enhanced Residual CNN for Video Super-Resolution Network","display_name":"3D Enhanced Residual CNN for Video Super-Resolution Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413860502","doi":"https://doi.org/10.32604/cmc.2025.069784"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.069784","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069784","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.069784","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070516779","display_name":"Weiqiang Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weiqiang Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601073","display_name":"Zhengtao Wang","orcid":"https://orcid.org/0000-0003-2797-4625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103241347","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-4794-7539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014749","display_name":"Yufeng Tang","orcid":"https://orcid.org/0009-0000-1467-2594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufeng Tang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427537","display_name":"Yiran Li","orcid":"https://orcid.org/0000-0001-7922-7766"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010248697","display_name":"Chunwei Tian","orcid":"https://orcid.org/0000-0002-6058-5077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunwei Tian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070516779"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26187306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"2","first_page":"2837","last_page":"2849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9890999794006348,"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/residual","display_name":"Residual","score":0.8221384286880493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785748958587646},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45991694927215576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44379109144210815},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.42413151264190674},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37791526317596436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3776940107345581},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15008500218391418},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11153444647789001}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8221384286880493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785748958587646},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45991694927215576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44379109144210815},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.42413151264190674},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37791526317596436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3776940107345581},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15008500218391418},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11153444647789001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.069784","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069784","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.069784","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069784","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2010981316","https://openalex.org/W2035536258","https://openalex.org/W2769654144","https://openalex.org/W2793833596","https://openalex.org/W2963182372","https://openalex.org/W3129189790","https://openalex.org/W3208549483","https://openalex.org/W4221163185","https://openalex.org/W4281674575","https://openalex.org/W4312920848","https://openalex.org/W4317796279","https://openalex.org/W4360770950","https://openalex.org/W4383220376","https://openalex.org/W4390577884","https://openalex.org/W4390788003","https://openalex.org/W4392642289","https://openalex.org/W4393144919","https://openalex.org/W4401328210","https://openalex.org/W4410616183"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2143529858","https://openalex.org/W4367590696","https://openalex.org/W3166902592","https://openalex.org/W3049172720","https://openalex.org/W2358774654","https://openalex.org/W2808508510"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5],"demonstrated":[6],"remarkable":[7],"performance":[8,168],"in":[9,24],"video":[10,155],"super-resolution":[11],"(VSR).":[12],"However,":[13],"the":[14,31,107,143,152],"ability":[15],"of":[16,33],"most":[17],"existing":[18],"methods":[19],"to":[20,111],"recover":[21],"fine":[22],"details":[23],"complex":[25],"scenes":[26],"is":[27,104],"often":[28],"hindered":[29],"by":[30],"loss":[32],"shallow":[34,88],"texture":[35,96],"information":[36],"during":[37],"feature":[38,138],"extraction.":[39],"To":[40],"address":[41],"this":[42],"limitation,":[43],"we":[44],"propose":[45],"a":[46,58,136,147],"3D":[47,100],"Convolutional":[48],"Enhanced":[49],"Residual":[50],"Video":[51],"Super-Resolution":[52],"Network":[53],"(3D-ERVSNet).":[54],"This":[55],"network":[56],"employs":[57],"forward":[59],"and":[60,89,130,146,163,176,195,217],"backward":[61,108],"bidirectional":[62],"propagation":[63,109],"module":[64,102,110,140,149],"(FBBPM)":[65],"that":[66,213],"aligns":[67],"features":[68,91],"across":[69],"frames":[70],"using":[71],"explicit":[72,215],"optical":[73],"flow":[74],"through":[75],"lightweight":[76],"SPyNet.":[77],"By":[78],"incorporating":[79],"an":[80],"enhanced":[81],"residual":[82],"structure":[83],"(ERS)":[84],"with":[85,191],"skip":[86],"connections,":[87],"deep":[90,137],"are":[92],"effectively":[93],"integrated,":[94],"enhancing":[95],"restoration":[97],"capabilities.":[98],"Furthermore,":[99],"convolution":[101],"(3DCM)":[103],"applied":[105],"after":[106],"implicitly":[112],"capture":[113],"spatio-temporal":[114],"dependencies.":[115],"The":[116,204],"architecture":[117],"synergizes":[118],"these":[119],"components":[120],"where":[121],"FBBPM":[122],"extracts":[123],"aligned":[124],"features,":[125,145],"ERS":[126],"fuses":[127,142],"hierarchical":[128],"representations,":[129],"3DCM":[131],"refines":[132],"temporal":[133],"coherence.":[134],"Finally,":[135],"aggregation":[139],"(DFAM)":[141],"processed":[144],"pixel-upsampling":[148],"(PUM)":[150],"reconstructs":[151],"high-resolution":[153],"(HR)":[154],"frames.":[156],"Comprehensive":[157],"evaluations":[158],"on":[159,174,179],"REDS,":[160],"Vid4,":[161],"UDM10,":[162],"Vim4":[164],"benchmarks":[165],"demonstrate":[166],"well":[167],"including":[169],"30.95":[170],"dB":[171],"PSNR/0.8822":[172],"SSIM":[173],"REDS":[175],"32.78":[177],"dB/0.8987":[178],"Vim4.":[180],"3D-ERVSNet":[181],"achieves":[182],"significant":[183],"gains":[184],"over":[185],"baselines":[186],"while":[187],"maintaining":[188],"high":[189],"efficiency":[190],"only":[192],"6.3M":[193],"parameters":[194],"77":[196],"ms/frame":[197],"runtime":[198],"(i.e.,":[199],"20\u00d7":[200],"faster":[201],"than":[202],"RBPN).":[203],"network\u2019s":[205],"effectiveness":[206],"stems":[207],"from":[208],"its":[209],"task-specific":[210],"asymmetric":[211],"design":[212],"balances":[214],"alignment":[216],"implicit":[218],"fusion.":[219]},"counts_by_year":[],"updated_date":"2025-12-05T23:21:25.405358","created_date":"2025-10-10T00:00:00"}