{"id":"https://openalex.org/W3089404634","doi":"https://doi.org/10.1109/icarm49381.2020.9195305","title":"Sharp Processing of Blur Image Based on Generative Adversarial Network","display_name":"Sharp Processing of Blur Image Based on Generative Adversarial Network","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3089404634","doi":"https://doi.org/10.1109/icarm49381.2020.9195305","mag":"3089404634"},"language":"en","primary_location":{"id":"doi:10.1109/icarm49381.2020.9195305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057188477","display_name":"Jinqing Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqing Fan","raw_affiliation_strings":["School of Electrical Engineering, Henan University of Technology, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Henan University of Technology, Henan, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091134284","display_name":"Lan Wu","orcid":"https://orcid.org/0000-0002-2497-6556"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Wu","raw_affiliation_strings":["School of Electrical Engineering, Henan University of Technology, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Henan University of Technology, Henan, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086718724","display_name":"Chenglin Wen","orcid":"https://orcid.org/0000-0003-2471-2849"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Wen","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3417,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63727066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"441"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8590445518493652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7648706436157227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519580125808716},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7286553382873535},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6956789493560791},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6851785182952881},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6444600224494934},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5879164934158325},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5720388293266296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5149660706520081},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.44375884532928467},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4201039671897888},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41747671365737915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3539102077484131},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33391904830932617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16494148969650269},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14671435952186584}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8590445518493652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7648706436157227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519580125808716},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7286553382873535},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6956789493560791},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6851785182952881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6444600224494934},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5879164934158325},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5720388293266296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5149660706520081},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.44375884532928467},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4201039671897888},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41747671365737915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3539102077484131},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33391904830932617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16494148969650269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14671435952186584},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm49381.2020.9195305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","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":27,"referenced_works":["https://openalex.org/W1916935112","https://openalex.org/W1987075379","https://openalex.org/W2012817736","https://openalex.org/W2017132642","https://openalex.org/W2026214447","https://openalex.org/W2072921527","https://openalex.org/W2086383524","https://openalex.org/W2092537528","https://openalex.org/W2112391032","https://openalex.org/W2115209909","https://openalex.org/W2127498214","https://openalex.org/W2153733791","https://openalex.org/W2159088990","https://openalex.org/W2166218758","https://openalex.org/W2519695165","https://openalex.org/W2557549919","https://openalex.org/W2560533888","https://openalex.org/W2761299546","https://openalex.org/W2768083292","https://openalex.org/W2773315559","https://openalex.org/W2787323722","https://openalex.org/W2901769385","https://openalex.org/W2904387141","https://openalex.org/W2904655733","https://openalex.org/W2910583818","https://openalex.org/W2963996760","https://openalex.org/W3012432207"],"related_works":["https://openalex.org/W2809398103","https://openalex.org/W2189446904","https://openalex.org/W2147326311","https://openalex.org/W1610044448","https://openalex.org/W2140292627","https://openalex.org/W2111547392","https://openalex.org/W2564723179","https://openalex.org/W2547347870","https://openalex.org/W3034421924","https://openalex.org/W1977427710"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,16,30,64,70,74,78,83,93],"very":[3],"challenging":[4],"problem":[5],"of":[6,73,82],"motion":[7,59],"blur":[8,20],"caused":[9],"by":[10],"camera":[11],"shake,":[12],"object":[13],"movement,":[14],"etc.":[15],"traditional":[17],"method":[18,94],"using":[19],"kernel":[21],"estimation":[22,26],"easily":[23],"leads":[24],"to":[25,43,52,67],"errors":[27],"and":[28,62,80],"makes":[29],"image":[31],"restoration":[32],"effect":[33],"poor.":[34],"We":[35],"propose":[36],"a":[37],"deep":[38,84],"convolutional":[39],"neural":[40,86],"network":[41,66,87],"solution":[42],"restore":[44,69],"blurred":[45,60],"images.":[46,61],"It":[47],"is":[48,90],"based":[49],"on":[50],"DeblurGAN":[51],"directly":[53],"obtain":[54],"deblurred":[55],"images":[56],"from":[57],"end-to-end":[58],"improves":[63],"residual":[65],"effectively":[68],"detailed":[71],"information":[72],"image,":[75],"Finally,":[76],"through":[77],"training":[79],"testing":[81],"convolution":[85],"model,":[88],"it":[89],"proved":[91],"that":[92],"can":[95],"achieve":[96],"state-of-the-art":[97],"performance":[98],"in":[99],"several":[100],"commonly":[101],"used":[102],"indexes.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}