{"id":"https://openalex.org/W4392007270","doi":"https://doi.org/10.1109/tnnls.2024.3359810","title":"Image Deblurring by Exploring In-Depth Properties of Transformer","display_name":"Image Deblurring by Exploring In-Depth Properties of Transformer","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4392007270","doi":"https://doi.org/10.1109/tnnls.2024.3359810","pmid":"https://pubmed.ncbi.nlm.nih.gov/38381646"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3359810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3359810","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5011573110","display_name":"Pengwei Liang","orcid":"https://orcid.org/0000-0003-0173-1385"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengwei Liang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011573110"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":6.2321,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97337198,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"4652","last_page":"4663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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":0.9957000017166138,"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":0.9471966028213501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583250761032104},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.645431637763977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663778781890869},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5537704229354858},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.47889867424964905},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45345354080200195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4385386109352112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33203452825546265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2707921862602234},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2684963345527649},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08194252848625183}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9471966028213501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583250761032104},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.645431637763977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663778781890869},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5537704229354858},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.47889867424964905},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45345354080200195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4385386109352112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33203452825546265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2707921862602234},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2684963345527649},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08194252848625183},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3359810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3359810","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38381646","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38381646","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2268537015","display_name":null,"funder_award_id":"92270116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G415731887","display_name":null,"funder_award_id":"62276192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5778169039","display_name":null,"funder_award_id":"U23B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1917431891","https://openalex.org/W2054203848","https://openalex.org/W2102166818","https://openalex.org/W2559264300","https://openalex.org/W2560533888","https://openalex.org/W2776004874","https://openalex.org/W2798966709","https://openalex.org/W2807841289","https://openalex.org/W2894289548","https://openalex.org/W2950689937","https://openalex.org/W2961218591","https://openalex.org/W2962785568","https://openalex.org/W2963312584","https://openalex.org/W2963470893","https://openalex.org/W2963819848","https://openalex.org/W2964013315","https://openalex.org/W2964030969","https://openalex.org/W2982795046","https://openalex.org/W2988641380","https://openalex.org/W3008618604","https://openalex.org/W3035484352","https://openalex.org/W3103787556","https://openalex.org/W3106758205","https://openalex.org/W3109494165","https://openalex.org/W3114544597","https://openalex.org/W3159481202","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3173857070","https://openalex.org/W3174970555","https://openalex.org/W3176096490","https://openalex.org/W3177293728","https://openalex.org/W3177575966","https://openalex.org/W3177732058","https://openalex.org/W3200683480","https://openalex.org/W3202040256","https://openalex.org/W3203100337","https://openalex.org/W3204896399","https://openalex.org/W3212022416","https://openalex.org/W4214810407","https://openalex.org/W4220843182","https://openalex.org/W4224918811","https://openalex.org/W4225672218","https://openalex.org/W4226213156","https://openalex.org/W4226453196","https://openalex.org/W4226512186","https://openalex.org/W4229862590","https://openalex.org/W4233762729","https://openalex.org/W4292259411","https://openalex.org/W4312234230","https://openalex.org/W4312432424","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4313156423","https://openalex.org/W4313887039","https://openalex.org/W4313892980","https://openalex.org/W4315631506","https://openalex.org/W4321319299","https://openalex.org/W4367663369","https://openalex.org/W4383503846","https://openalex.org/W4385453401","https://openalex.org/W4386075800","https://openalex.org/W4386702809","https://openalex.org/W6795475546","https://openalex.org/W6810613308","https://openalex.org/W6811043537","https://openalex.org/W6811470611","https://openalex.org/W6840708829"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Image":[0],"deblurring":[1,245,248],"continues":[2],"to":[3,23,53,70,74,160],"achieve":[4],"impressive":[5],"performance":[6,80],"with":[7],"the":[8,34,43,50,79,83,91,103,108,118,127,140,143,147,150,166,172,190,201,212,219,225,233],"development":[9],"of":[10,30,45,97,142,149,156,214],"generative":[11],"models.":[12],"Nonetheless,":[13],"there":[14],"still":[15],"remains":[16],"a":[17,65,197],"displeasing":[18],"problem":[19],"if":[20],"one":[21,182],"wants":[22],"improve":[24],"perceptual":[25,158,220],"quality":[26,221],"and":[27,99,124,170,180,199,207,241,246],"quantitative":[28,84,226],"scores":[29,227],"recovered":[31,72,122,178,205],"image":[32,110,123,162,179,195,206],"at":[33,254],"same":[35],"time.":[36],"In":[37,57],"this":[38,55],"study,":[39],"drawing":[40],"inspiration":[41],"from":[42,64,177,193],"research":[44],"transformer":[46,68,88,119,129,215],"properties,":[47],"we":[48,59,100,152],"introduce":[49],"pretrained":[51,66,87,128],"transformers":[52],"address":[54],"problem.":[56],"particular,":[58],"leverage":[60],"deep":[61],"features":[62,120,167,191],"extracted":[63,176,192],"vision":[67],"(ViT)":[69],"encourage":[71],"images":[73],"be":[75],"sharp":[76,109],"without":[77],"sacrificing":[78,224],"measured":[81],"by":[82],"metrics.":[85],"The":[86,186,250],"can":[89],"capture":[90],"global":[92],"topological":[93,105],"relations":[94],"(i.e.,":[95],"self-similarity)":[96],"image,":[98],"observe":[101],"that":[102],"captured":[104],"relationships":[106],"about":[107],"will":[111],"change":[112],"when":[113],"blur":[114],"occurs.":[115],"By":[116],"comparing":[117],"between":[121,174,204],"target":[125,181,208],"one,":[126],"provides":[130],"high-resolution":[131],"blur-sensitive":[132],"semantic":[133],"information,":[134],"which":[135],"is":[136,252],"critical":[137],"in":[138,183,217],"measuring":[139],"sharpness":[141],"deblurred":[144],"image.":[145],"On":[146],"basis":[148],"advantages,":[151],"present":[153],"two":[154],"types":[155],"novel":[157],"losses":[159],"guide":[161],"deblurring.":[163],"One":[164],"regards":[165],"as":[168,196,238],"vectors":[169],"computes":[171],"discrepancy":[173,203],"representations":[175],"Euclidean":[184],"space.":[185],"other":[187],"type":[188],"considers":[189],"an":[194],"distribution":[198,202],"compares":[200],"one.":[209],"We":[210],"demonstrate":[211],"effectiveness":[213],"properties":[216],"improving":[218],"while":[222],"not":[223],"peak":[228],"signal-to-noise":[229],"ratio":[230],"(PSNR)":[231],"over":[232],"most":[234],"competitive":[235],"models,":[236],"such":[237],"Uformer,":[239],"Restormer,":[240],"NAFNet,":[242],"on":[243],"defocus":[244],"motion":[247],"tasks.":[249],"code":[251],"available":[253],"https://github.":[255],"com/erfect2020/TransformerPerceptualLoss.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}