{"id":"https://openalex.org/W3147474004","doi":"https://doi.org/10.1109/tmm.2021.3068561","title":"Motion Blur Removal With Quality Assessment Guidance","display_name":"Motion Blur Removal With Quality Assessment Guidance","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3147474004","doi":"https://doi.org/10.1109/tmm.2021.3068561","mag":"3147474004"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3068561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3068561","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5101749057","display_name":"Jichun Li","orcid":"https://orcid.org/0000-0003-4906-8244"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jichun Li","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4906-8244","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bo Yan","orcid":"https://orcid.org/0000-0001-7677-4772"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7677-4772","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037937279","display_name":"Qing Lin","orcid":"https://orcid.org/0000-0002-3808-3492"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Lin","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413656","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-3615-6755"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036812879","display_name":"Chenxi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Ma","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5577-5773","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101749057"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.4564,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83833961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"2986","last_page":"2997"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"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":0.9976999759674072,"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":0.9795280694961548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818662166595459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790149211883545},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6067724227905273},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5830807089805603},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5699316263198853},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.561659574508667},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5176423192024231},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5025837421417236},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.44508856534957886},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4441739022731781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3992186188697815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3589615821838379},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.27168795466423035},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24600934982299805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23960047960281372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22919520735740662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1549621820449829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09206458926200867}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9795280694961548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818662166595459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790149211883545},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6067724227905273},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5830807089805603},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5699316263198853},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.561659574508667},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5176423192024231},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5025837421417236},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.44508856534957886},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4441739022731781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3992186188697815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3589615821838379},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.27168795466423035},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24600934982299805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23960047960281372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22919520735740662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1549621820449829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09206458926200867},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3068561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3068561","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1814295071","display_name":null,"funder_award_id":"61772137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3448428807","display_name":null,"funder_award_id":"U2001209","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1916935112","https://openalex.org/W1982471090","https://openalex.org/W2015015901","https://openalex.org/W2051596736","https://openalex.org/W2108598243","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2162692770","https://openalex.org/W2167307343","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2465552163","https://openalex.org/W2474628748","https://openalex.org/W2560533888","https://openalex.org/W2791076925","https://openalex.org/W2798735168","https://openalex.org/W2890033558","https://openalex.org/W2897228451","https://openalex.org/W2942729634","https://openalex.org/W2961218591","https://openalex.org/W2963312584","https://openalex.org/W2964030969","https://openalex.org/W3034789581","https://openalex.org/W6637373629","https://openalex.org/W6702130928"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W2121853623","https://openalex.org/W4388209117","https://openalex.org/W4224029260","https://openalex.org/W4297097661"],"abstract_inverted_index":{"Non-uniform":[0],"blind":[1],"motion":[2],"deblurring":[3,132,168,199,210],"is":[4,137,140],"a":[5,131],"challenging":[6],"yet":[7],"fundamental":[8],"task":[9],"in":[10,57,82,87],"the":[11,19,24,37,54,68,72,84,90,98,110,114,125,156,191,198,209,222],"computer":[12],"vision":[13],"field,":[14],"which":[15],"aims":[16],"to":[17,59,100,112,193],"restore":[18],"latent":[20],"sharp":[21],"image":[22],"from":[23],"blurry":[25],"input.":[26],"Recently,":[27],"deep-learning-based":[28,115],"methods":[29,229],"have":[30],"made":[31],"significant":[32],"improvement":[33],"and":[34,71,95,163,186,231],"progress,":[35],"on":[36],"metric":[38,70],"of":[39,67,127,134],"PSNR.":[40,217],"They":[41],"achieve":[42],"good":[43,61],"results":[44,219],"mainly":[45],"because":[46],"they":[47],"adopt":[48],"Mean":[49],"Squared":[50],"Error":[51],"(MSE)":[52],"as":[53],"optimization":[55],"objective,":[56],"addition":[58],"their":[60],"model":[62],"design.":[63],"However,":[64],"simple":[65],"adoption":[66],"PSNR":[69,78],"MSE":[73,96],"loss,":[74],"has":[75],"non-ignorable":[76],"disadvantages.":[77],"cannot":[79],"always":[80],"succeed":[81],"assessing":[83,124],"deblurred":[85,128],"quality":[86,118,126,213],"accordance":[88],"with":[89,155,175,180],"human":[91],"visual":[92],"system":[93],"(HVS),":[94],"guides":[97],"network":[99,120,133],"generate":[101],"over-smoothed":[102],"images.":[103],"To":[104],"address":[105],"these":[106],"problems,":[107],"we":[108,189],"are":[109,190],"first":[111,192],"propose":[113,158],"multi-scale":[116,149],"non-reference":[117],"assessment":[119],"(Deep":[121],"DEBLUR-IQA)":[122],"for":[123],"results.":[129],"Moreover,":[130],"high":[135],"efficiency":[136],"presented.":[138],"It":[139],"more":[141],"than":[142,146],"50":[143],"times":[144],"faster":[145],"other":[147],"SOTA":[148],"Convolution":[150],"Neural":[151],"Network":[152],"(CNN)":[153],"methods,":[154],"newly":[157],"Residual":[159],"Dilated":[160],"Block":[161,178],"(RDB)":[162],"Light":[164],"ResBlock":[165],"(LRB).":[166],"The":[167],"network's":[169,200],"performance":[170],"can":[171,206],"be":[172],"further":[173],"boosted":[174],"Multiple":[176],"Dilation":[177],"(MDB),":[179],"an":[181],"acceptable":[182],"speed":[183],"decrease.":[184],"Finally,":[185],"most":[187],"importantly,":[188],"let":[194],"Deep":[195],"DEBLUR-IQA":[196],"guide":[197],"optimization.":[201],"This":[202],"IQA-guided":[203],"enhancement":[204],"paradigm":[205],"significantly":[207],"improve":[208],"results\u2019":[211],"subjective":[212],"while":[214],"achieving":[215],"excellent":[216],"Experimental":[218],"demonstrate":[220],"that":[221],"proposed":[223],"method":[224],"performs":[225],"favorably":[226],"against":[227],"state-of-the-art":[228],"quantitatively":[230],"qualitatively.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
