{"id":"https://openalex.org/W4210961094","doi":"https://doi.org/10.1109/icnsc52481.2021.9702249","title":"A Multi-Feature Fusion Convolution Neural Network for Image Compression Artifacts Reduction","display_name":"A Multi-Feature Fusion Convolution Neural Network for Image Compression Artifacts Reduction","publication_year":2021,"publication_date":"2021-12-03","ids":{"openalex":"https://openalex.org/W4210961094","doi":"https://doi.org/10.1109/icnsc52481.2021.9702249"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc52481.2021.9702249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc52481.2021.9702249","pdf_url":null,"source":{"id":"https://openalex.org/S4363608459","display_name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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/A5090245098","display_name":"Bingqi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqi Lin","raw_affiliation_strings":["Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002345506","display_name":"Feifeng Wang","orcid":"https://orcid.org/0000-0003-2015-136X"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifeng Wang","raw_affiliation_strings":["Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101715379","display_name":"Chen Jing","orcid":"https://orcid.org/0009-0000-5614-0705"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327244","display_name":"Linlin Chen","orcid":"https://orcid.org/0000-0002-3173-2859"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Chen","raw_affiliation_strings":["Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaqiao University,School of Information Science and Engineering,Xiamen,China,361021","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Mobile Multimedia Communications (Xiamen 361021, China), Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/compression-artifact","display_name":"Compression artifact","score":0.7675760388374329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7572027444839478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415913939476013},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6626811027526855},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6317965984344482},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6067758798599243},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6035252213478088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5816057324409485},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5188806653022766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5057485103607178},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.46209943294525146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4506549537181854},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44344720244407654},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42853277921676636},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29043617844581604},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2636447548866272}],"concepts":[{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.7675760388374329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7572027444839478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415913939476013},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6626811027526855},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6317965984344482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6067758798599243},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6035252213478088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5816057324409485},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5188806653022766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5057485103607178},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.46209943294525146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4506549537181854},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44344720244407654},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42853277921676636},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29043617844581604},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2636447548866272},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc52481.2021.9702249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc52481.2021.9702249","pdf_url":null,"source":{"id":"https://openalex.org/S4363608459","display_name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W1906770428","https://openalex.org/W2071804214","https://openalex.org/W2110158442","https://openalex.org/W2133665775","https://openalex.org/W2140196014","https://openalex.org/W2142683286","https://openalex.org/W2294978292","https://openalex.org/W2508457857","https://openalex.org/W2519021537","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2799309438","https://openalex.org/W2963840672","https://openalex.org/W2987869089","https://openalex.org/W3012263291","https://openalex.org/W3083244333","https://openalex.org/W3102974666","https://openalex.org/W3182211633","https://openalex.org/W6602211262","https://openalex.org/W6696085341","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2013943429","https://openalex.org/W4385625475","https://openalex.org/W3162084246","https://openalex.org/W3121517563","https://openalex.org/W2023810505","https://openalex.org/W2096442341","https://openalex.org/W1994319845","https://openalex.org/W1771439769","https://openalex.org/W3137515556","https://openalex.org/W1836399137"],"abstract_inverted_index":{"For":[0],"effective":[1],"image":[2,32,91],"storage":[3],"and":[4,18,77],"transmission,":[5],"lossy":[6],"compression":[7,33],"is":[8,43,55,122],"normally":[9],"used":[10],"during":[11],"the":[12,20,40,84,107,110,115,119,129,135],"coding":[13],"process,":[14],"which":[15,127],"introduces":[16],"artifacts":[17,34,59,95],"destroys":[19],"quality":[21,42],"of":[22,80,89,96,109,118,134],"images":[23],"inevitably.":[24],"Though":[25],"some":[26],"convolutional":[27],"neural":[28,53],"network":[29,54,121],"(CNN)":[30],"based":[31],"reduction":[35,132],"methods":[36],"have":[37],"been":[38],"proposed,":[39],"reconstructed":[41],"not":[44],"ideal.":[45],"In":[46,113],"this":[47],"paper,":[48],"an":[49],"end-to-end":[50],"multi-branch":[51],"convolution":[52],"designed":[56],"for":[57],"removing":[58],"brought":[60],"by":[61],"JPEG":[62],"compression.":[63],"Three":[64],"feature":[65],"extraction":[66],"branches":[67],"are":[68,92],"proposed":[69,85,111,120,136],"to":[70],"extract":[71],"main":[72],"texture":[73],"features,":[74],"multi-scale":[75,87],"features":[76,79,88],"enhancement":[78],"compressed":[81,90],"image.":[82],"With":[83],"network,":[86],"fully":[93],"concerned,":[94],"adjacent":[97],"block":[98],"boundaries":[99],"can":[100],"be":[101],"reduced":[102],"effectively.":[103],"Experimental":[104],"results":[105],"show":[106],"effectiveness":[108],"network.":[112,137],"particular,":[114],"PSNR-B":[116],"index":[117],"higher":[123],"than":[124],"state-of-the-art":[125],"methods,":[126],"indicates":[128],"better":[130],"artifact":[131],"performance":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}