{"id":"https://openalex.org/W3024283674","doi":"https://doi.org/10.1109/lsp.2020.2995106","title":"Deep Spectral-Spatial Network for Single Image Deblurring","display_name":"Deep Spectral-Spatial Network for Single Image Deblurring","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3024283674","doi":"https://doi.org/10.1109/lsp.2020.2995106","mag":"3024283674"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2995106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2995106","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5014600444","display_name":"Seokjae Lim","orcid":"https://orcid.org/0000-0001-5633-645X"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokjae Lim","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Konkuk University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0001-5633-645X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380877","display_name":"Jin Kim","orcid":"https://orcid.org/0000-0003-0045-1461"},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Kim","raw_affiliation_strings":["Department of AI Laboratory Platform Unit, Hanwha Systems/ICT, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Laboratory Platform Unit, Hanwha Systems/ICT, Seoul, Korea","institution_ids":["https://openalex.org/I4210143937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010430171","display_name":"Wonjun Kim","orcid":"https://orcid.org/0000-0001-5121-5931"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjun Kim","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Konkuk University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0001-5121-5931","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0542,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79124648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"835","last_page":"839"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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":0.9950000047683716,"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/deblurring","display_name":"Deblurring","score":0.9927797317504883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692004442214966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7191521525382996},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6586164832115173},{"id":"https://openalex.org/keywords/ghosting","display_name":"Ghosting","score":0.6498379707336426},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6021186709403992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5935890078544617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5086358785629272},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48198121786117554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4450056552886963},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3265872597694397}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9927797317504883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692004442214966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7191521525382996},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6586164832115173},{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.6498379707336426},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6021186709403992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5935890078544617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5086358785629272},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48198121786117554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4450056552886963},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3265872597694397},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2995106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2995106","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W1604428010","https://openalex.org/W1916935112","https://openalex.org/W2044005793","https://openalex.org/W2044810215","https://openalex.org/W2099471712","https://openalex.org/W2121689659","https://openalex.org/W2128473934","https://openalex.org/W2194775991","https://openalex.org/W2274344128","https://openalex.org/W2300657047","https://openalex.org/W2495603374","https://openalex.org/W2560533888","https://openalex.org/W2611684062","https://openalex.org/W2798309955","https://openalex.org/W2810334861","https://openalex.org/W2899771611","https://openalex.org/W2908510526","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W3098073440","https://openalex.org/W3123837026","https://openalex.org/W4320013936","https://openalex.org/W6698043622","https://openalex.org/W6756040250","https://openalex.org/W6757817989","https://openalex.org/W6846846049"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Inspired":[0],"by":[1,89,122],"the":[2,6,38,45,68,75,93,97,105,109,116,123,128,148,162],"great":[3],"success":[4],"of":[5,13,50,70,92,115,134],"deep":[7,62],"neural":[8],"networks":[9],"in":[10,26,53,85,151],"various":[11],"fields":[12],"computer":[14],"vision,":[15],"studies":[16],"for":[17,66,140],"image":[18,72,103],"deblurring":[19,135],"have":[20],"begun":[21],"to":[22,35,80],"become":[23],"more":[24],"active":[25],"recent":[27],"days.":[28],"However,":[29],"most":[30],"previous":[31],"approaches":[32],"often":[33],"fail":[34],"accurately":[36],"remove":[37],"blur":[39],"artifacts,":[40],"e.g.,":[41],"ghosting":[42],"effects":[43],"at":[44],"object":[46],"boundaries":[47],"and":[48,100,108,170],"degradation":[49],"local":[51,113],"details,":[52],"restored":[54],"results.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"a":[61,86,152],"spectral-spatial":[63],"network":[64],"(DSSN)":[65],"resolving":[67],"problem":[69],"single":[71],"deblurring.":[73],"Specifically,":[74],"proposed":[76,163],"method":[77],"is":[78,120,137],"able":[79],"efficiently":[81],"recover":[82],"scene":[83],"characteristics":[84],"global":[87],"manner":[88],"minimizing":[90],"differences":[91],"frequency":[94],"magnitude":[95],"between":[96],"blurred":[98],"input":[99],"corresponding":[101],"sharp":[102],"via":[104],"spectral":[106,124],"restorer,":[107],"spatial":[110],"restorer":[111],"fine-tunes":[112],"details":[114],"intermediate":[117],"result,":[118],"which":[119],"estimated":[121],"one,":[125],"based":[126],"on":[127,157],"intensity":[129],"similarity.":[130],"This":[131],"cascaded":[132],"scheme":[133],"processes":[136],"fairly":[138],"desirable":[139],"clearly":[141],"restoring":[142],"edge-like":[143],"structures":[144],"as":[145,147],"well":[146],"textural":[149],"information":[150],"coarse-to-fine":[153],"manner.":[154],"Experimental":[155],"results":[156],"benchmark":[158],"datasets":[159],"demonstrate":[160],"that":[161],"DSSN":[164],"outperforms":[165],"state-of-the-art":[166],"methods.":[167],"The":[168],"code":[169],"model":[171],"are":[172],"publicly":[173],"available":[174],"at:":[175],"https://github.com/SeokjaeLIM/DSSN_release.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}