{"id":"https://openalex.org/W4206721043","doi":"https://doi.org/10.1145/3501409.3501520","title":"Edge-enhanced Generative Adversarial Network for Reconstruction of Compressed Image","display_name":"Edge-enhanced Generative Adversarial Network for Reconstruction of Compressed Image","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4206721043","doi":"https://doi.org/10.1145/3501409.3501520"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501520","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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/A5068179622","display_name":"Nan Lin","orcid":"https://orcid.org/0000-0003-1324-1607"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Lin","raw_affiliation_strings":["School of Software Zhengzhou University, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012724387","display_name":"Yinglin Zhu","orcid":"https://orcid.org/0000-0001-9633-3077"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglin Zhu","raw_affiliation_strings":["School of Software Zhengzhou University, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612105","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0003-2349-1925"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["School of Software Zhengzhou University, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100833022","display_name":"Jianhong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhong Ma","raw_affiliation_strings":["School of Software Zhengzhou University, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072419341","display_name":"Yangjie Cao","orcid":"https://orcid.org/0000-0002-1170-4340"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangjie Cao","raw_affiliation_strings":["School of Software Zhengzhou University, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089770704","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4063-9381"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Software Zhengzhou University1, Shanghai Jiao Tong University2, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software Zhengzhou University1, Shanghai Jiao Tong University2, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068179622"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18332373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"608","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7940601110458374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869571447372437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6681367754936218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6259687542915344},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6006662845611572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5945772528648376},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5479868650436401},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5336704254150391},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5172753930091858},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.44046902656555176},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.4367189407348633},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.39970043301582336},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3413974344730377}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7940601110458374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869571447372437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6681367754936218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6259687542915344},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6006662845611572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5945772528648376},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5479868650436401},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5336704254150391},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5172753930091858},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.44046902656555176},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.4367189407348633},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.39970043301582336},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3413974344730377},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501520","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":15,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1946766895","https://openalex.org/W2016456440","https://openalex.org/W2049340374","https://openalex.org/W2142683286","https://openalex.org/W2156127130","https://openalex.org/W2202656999","https://openalex.org/W2508457857","https://openalex.org/W2897392272","https://openalex.org/W2940469264","https://openalex.org/W2962793481","https://openalex.org/W2963470893","https://openalex.org/W3038886336","https://openalex.org/W4247924304","https://openalex.org/W4301045096"],"related_works":["https://openalex.org/W2790766679","https://openalex.org/W2741327346","https://openalex.org/W2386409859","https://openalex.org/W2785673697","https://openalex.org/W2361023023","https://openalex.org/W2367828518","https://openalex.org/W2123172162","https://openalex.org/W2185505564","https://openalex.org/W2359608162","https://openalex.org/W1497231902"],"abstract_inverted_index":{"The":[0,127],"images":[1,117,134],"are":[2,135],"often":[3],"compressed":[4,80],"to":[5,46,82,103],"reduce":[6],"storage":[7],"usage":[8],"or":[9],"accelerate":[10],"image":[11,23,59,81,93,146],"transmission.":[12],"However,":[13],"the":[14,20,31,71,75,79,92,105,108,116,119,123,132,138],"compression":[15,140],"process":[16],"always":[17],"results":[18,129],"in":[19],"loss":[21,101],"of":[22,35,78,107],"details,":[24,28,95],"such":[25],"as":[26],"edge":[27,48,64,77,87,94,100,147],"which":[29],"degrades":[30],"visual":[32],"experience.":[33],"Plenty":[34],"reconstruction":[36,60],"methods":[37],"have":[38,143],"been":[39],"proposed,":[40],"but":[41],"it":[42],"is":[43],"yet":[44],"challenging":[45],"enhance":[47],"details":[49],"more":[50,85,144],"precisely.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,96,112],"propose":[56],"a":[57,98],"GAN-based":[58],"architecture":[61],"mainly":[62],"for":[63],"enhancement.":[65],"Our":[66],"model":[67],"improves":[68],"by":[69],"cycleGAN;":[70],"model's":[72],"input":[73],"adds":[74],"extracted":[76],"promote":[83],"generating":[84],"precise":[86,145],"information.":[88],"To":[89],"further":[90],"optimize":[91],"define":[97],"new":[99],"function":[102],"improve":[104],"quality":[106],"generated":[109],"image.":[110],"Lastly,":[111],"train":[113],"and":[114,122,142],"test":[115],"from":[118],"CelebA":[120],"dataset":[121],"ACDC":[124],"medical":[125],"dataset.":[126],"experimental":[128],"show":[130],"that":[131],"reconstructed":[133],"clear":[136],"under":[137],"high":[139],"ratio":[141],"details.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
