{"id":"https://openalex.org/W3202921169","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534256","title":"Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring","display_name":"Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3202921169","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534256","mag":"3202921169"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5013940115","display_name":"Yafeng Zhao","orcid":"https://orcid.org/0000-0002-0708-9701"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yafeng Zhao","raw_affiliation_strings":["Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004971220","display_name":"Hui Cui","orcid":"https://orcid.org/0000-0001-8224-4698"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hui Cui","raw_affiliation_strings":["La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018280302","display_name":"Binyu Zhao","orcid":"https://orcid.org/0000-0002-9564-6757"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyu Zhao","raw_affiliation_strings":["Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714747","display_name":"Jiquan Ma","orcid":"https://orcid.org/0000-0003-3072-7799"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiquan Ma","raw_affiliation_strings":["Heilongjiang University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013940115"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40031046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"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":0.9969000220298767,"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":0.9889000058174133,"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":0.988132119178772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7658308148384094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739035427570343},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6082923412322998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5863618850708008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4958072602748871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4446132779121399},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42177021503448486},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41021233797073364},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3219519853591919}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.988132119178772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7658308148384094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739035427570343},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6082923412322998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5863618850708008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4958072602748871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4446132779121399},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42177021503448486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41021233797073364},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3219519853591919}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1916935112","https://openalex.org/W1962010357","https://openalex.org/W2133665775","https://openalex.org/W2165746464","https://openalex.org/W2300657047","https://openalex.org/W2331376995","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2565639579","https://openalex.org/W2579111433","https://openalex.org/W2738579427","https://openalex.org/W2798735168","https://openalex.org/W2895903416","https://openalex.org/W2961218591","https://openalex.org/W2963312584","https://openalex.org/W2963403868","https://openalex.org/W2964030969","https://openalex.org/W2964121744","https://openalex.org/W2965217508","https://openalex.org/W2965300963","https://openalex.org/W2967273822","https://openalex.org/W2982795046","https://openalex.org/W2984558616","https://openalex.org/W2988641380","https://openalex.org/W2997058852","https://openalex.org/W3034789174","https://openalex.org/W4385245566","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6640974819","https://openalex.org/W6684531174","https://openalex.org/W6739901393","https://openalex.org/W6745853359"],"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/W2140617750"],"abstract_inverted_index":{"How":[0],"to":[1,5,47,87,92],"exploit":[2],"useful":[3],"features":[4,84,113],"enhance":[6],"the":[7,28,49,56,89,93,109,142],"quality":[8],"of":[9,58,60,95,112],"blurred":[10],"images":[11],"is":[12,40],"a":[13,42,61,70],"long-standing":[14],"topic":[15],"in":[16],"single":[17],"image":[18,80],"deblurring.":[19,81],"Existing":[20],"learning-based":[21],"approaches":[22],"show":[23],"exciting":[24],"performance":[25],"by":[26],"increasing":[27,55],"receptive":[29,50],"fields":[30],"depending":[31],"on":[32,54],"multi-scale":[33,71],"and":[34,73,98,118,121,127,132,138,151],"scale":[35],"recurrent":[36],"strategy.":[37],"However,":[38],"it":[39],"still":[41],"challenging":[43],"task":[44],"for":[45,79,108],"deblurring":[46],"enlarge":[48],"field":[51],"only":[52],"relying":[53],"number":[57],"layers":[59],"neural":[62],"network.":[63],"To":[64],"tackle":[65],"this":[66],"challenge,":[67],"we":[68,102],"propose":[69],"spatial":[72,104],"edge":[74,83,116],"attention":[75,91,105],"enhanced":[76],"model":[77],"(MSEA)":[78],"Firstly,":[82],"are":[85,148],"extracted":[86],"guide":[88],"network's":[90],"recovery":[94],"fine":[96],"details":[97,126],"texture":[99],"information.":[100],"Then":[101],"introduce":[103],"fusion":[106,111],"mechanism":[107],"adaptive":[110],"derived":[114],"from":[115],"maps":[117],"blurry":[119],"images,":[120],"those":[122],"representing":[123],"shallow":[124],"fine-grained":[125],"in-depth":[128],"abstract":[129],"features.":[130],"Qualitative":[131],"quantitative":[133],"evaluation":[134],"results":[135],"over":[136],"GoPro":[137],"VideoDeblurring":[139],"datasets":[140],"demonstrated":[141],"improved":[143],"performance,":[144],"especially":[145],"when":[146],"there":[147],"sharp":[149],"edges":[150],"rich":[152],"textures.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
