{"id":"https://openalex.org/W7108207357","doi":"https://doi.org/10.3390/info16121055","title":"Fully-Cascaded Spatial-Aware Convolutional Network for Motion Deblurring","display_name":"Fully-Cascaded Spatial-Aware Convolutional Network for Motion Deblurring","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W7108207357","doi":"https://doi.org/10.3390/info16121055"},"language":"en","primary_location":{"id":"doi:10.3390/info16121055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121055","pdf_url":null,"source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/info16121055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yinghan Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghan Hong","raw_affiliation_strings":["School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou 510725, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou 510725, China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bishenghui Tao","orcid":"https://orcid.org/0000-0003-0968-2346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bishenghui Tao","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-0968-2346","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5892-8093"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China"],"raw_orcid":"https://orcid.org/0000-0002-5892-8093","affiliations":[{"raw_affiliation_string":"School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guizhen Mai","orcid":"https://orcid.org/0000-0001-9433-7883"},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhen Mai","raw_affiliation_strings":["School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou 510725, China"],"raw_orcid":"https://orcid.org/0000-0001-9433-7883","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou 510725, China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"last","author":{"id":null,"display_name":"Cai Guo","orcid":"https://orcid.org/0000-0001-7524-2272"},"institutions":[{"id":"https://openalex.org/I4210165736","display_name":"Hanshan Normal University","ror":"https://ror.org/05tqaz865","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165736"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cai Guo","raw_affiliation_strings":["School of Computer and Information Engineering, Hanshan Normal University, Chaozhou 521041, China"],"raw_orcid":"https://orcid.org/0000-0001-7524-2272","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Hanshan Normal University, Chaozhou 521041, China","institution_ids":["https://openalex.org/I4210165736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165736"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52879767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"12","first_page":"1055","last_page":"1055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9940000176429749,"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":0.9940000176429749,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.0027000000700354576,"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":0.0008999999845400453,"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/deblurring","display_name":"Deblurring","score":0.9110000133514404},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7440999746322632},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6909999847412109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5615000128746033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5490999817848206},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4860000014305115},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4763999879360199},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.46630001068115234},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4334999918937683}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9110000133514404},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7440999746322632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182000279426575},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6909999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6722999811172485},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4763999879360199},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.46630001068115234},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41110000014305115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4049000144004822},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info16121055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121055","pdf_url":null,"source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:459c183511464868ad0cdf8fad0324e1","is_oa":true,"landing_page_url":"https://doaj.org/article/459c183511464868ad0cdf8fad0324e1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 16, Iss 12, p 1055 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info16121055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16121055","pdf_url":null,"source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46360766887664795,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W2081385919","https://openalex.org/W2099770336","https://openalex.org/W2194775991","https://openalex.org/W2300657047","https://openalex.org/W2560533888","https://openalex.org/W2607041014","https://openalex.org/W2884585870","https://openalex.org/W2920895725","https://openalex.org/W2953823547","https://openalex.org/W2955058313","https://openalex.org/W2961218591","https://openalex.org/W2962785568","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W3034789174","https://openalex.org/W3035524459","https://openalex.org/W3040304705","https://openalex.org/W3085824656","https://openalex.org/W3136017287","https://openalex.org/W3173857070","https://openalex.org/W3176096490","https://openalex.org/W3196464730","https://openalex.org/W3202040256","https://openalex.org/W3203848400","https://openalex.org/W4281819865","https://openalex.org/W4303699847","https://openalex.org/W4307771774","https://openalex.org/W4311747015","https://openalex.org/W4381430045","https://openalex.org/W4402461863","https://openalex.org/W4403482688","https://openalex.org/W4407294476"],"related_works":[],"abstract_inverted_index":{"Motion":[0],"deblurring":[1],"is":[2,125,134,187],"an":[3],"ill-posed,":[4],"challenging":[5],"problem":[6],"in":[7],"image":[8],"restoration":[9,79],"due":[10],"to":[11,49],"non-uniform":[12],"motion":[13],"blurs.":[14],"Although":[15],"recent":[16],"deep":[17],"convolutional":[18,62],"neural":[19],"networks":[20],"have":[21],"made":[22],"significant":[23],"progress,":[24],"many":[25],"existing":[26],"methods":[27,171],"adopt":[28],"multi-scale":[29],"or":[30,46,166],"multi-patch":[31],"subnetworks":[32,92],"that":[33,65,228],"involve":[34],"additional":[35,191],"inter-subnetwork":[36],"processing":[37],"(e.g.,":[38],"feature":[39,97,145],"alignment":[40],"and":[41,81,106,141,161,196,206,221],"fusion)":[42],"across":[43],"different":[44],"scales":[45],"patches,":[47],"leading":[48],"substantial":[50],"computational":[51,82],"cost.":[52],"In":[53,113],"this":[54],"paper,":[55],"we":[56,115],"propose":[57],"a":[58,75,95,117,126,234],"novel":[59],"fully-cascaded":[60,96],"spatial-aware":[61,119],"network":[63],"(FSCNet)":[64],"effectively":[66],"restores":[67],"sharp":[68],"images":[69],"from":[70],"blurry":[71],"inputs":[72],"while":[73,175],"maintaining":[74],"favorable":[76,235],"balance":[77],"between":[78],"quality":[80],"efficiency.":[83],"The":[84,132],"proposed":[85],"architecture":[86],"consists":[87],"of":[88,104],"simple":[89],"yet":[90],"effective":[91],"connected":[93],"through":[94],"fusion":[98,146],"(FCFF)":[99],"module,":[100],"enabling":[101],"the":[102,138,153,184,200],"exploitation":[103],"diverse":[105,224],"complementary":[107],"features":[108],"generated":[109],"at":[110],"each":[111],"stage.":[112],"addition,":[114],"design":[116],"lightweight":[118],"block":[120],"(SAB),":[121],"whose":[122],"core":[123],"component":[124],"channel-weighted":[127],"spatial":[128,149],"attention":[129],"(CWSA)":[130],"module.":[131],"SAB":[133],"integrated":[135],"into":[136],"both":[137],"FCFF":[139],"module":[140],"skip":[142],"connections,":[143],"enhancing":[144],"by":[147,179],"enriching":[148],"detail":[150],"representation.":[151],"On":[152],"GoPro":[154],"dataset,":[155],"FSCNet":[156,198],"achieves":[157,230],"33.01":[158],"dB":[159],"PSNR":[160,203],"0.962":[162],"SSIM,":[163],"delivering":[164],"comparable":[165],"higher":[167],"accuracy":[168],"than":[169],"state-of-the-art":[170,231],"such":[172],"as":[173],"HINet,":[174],"reducing":[176],"model":[177,186],"size":[178],"nearly":[180],"80%.":[181],"Furthermore,":[182],"when":[183],"GoPro-trained":[185],"evaluated":[188],"on":[189],"three":[190],"benchmark":[192],"datasets":[193],"(HIDE,":[194],"REDS,":[195],"RealBlur),":[197],"attains":[199],"highest":[201],"average":[202],"(29.53":[204],"dB)":[205],"SSIM":[207],"(0.903)":[208],"among":[209],"all":[210],"compared":[211],"methods.":[212],"This":[213],"consistent":[214],"cross-dataset":[215],"superiority":[216],"highlights":[217],"FSCNet\u2019s":[218],"strong":[219],"generalization":[220],"robustness":[222],"under":[223],"blur":[225],"conditions,":[226],"confirming":[227],"it":[229],"performance":[232],"with":[233],"performance\u2013complexity":[236],"trade-off.":[237]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-12-03T00:00:00"}
