{"id":"https://openalex.org/W3007825331","doi":"https://doi.org/10.1145/3376067.3376086","title":"Artifacts Reduction for Compression Image with Pyramid Residual Convolutional Neural Network","display_name":"Artifacts Reduction for Compression Image with Pyramid Residual Convolutional Neural Network","publication_year":2019,"publication_date":"2019-12-20","ids":{"openalex":"https://openalex.org/W3007825331","doi":"https://doi.org/10.1145/3376067.3376086","mag":"3007825331"},"language":"en","primary_location":{"id":"doi:10.1145/3376067.3376086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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/A5082995604","display_name":"Chunmei Nian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunmei Nian","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039027742","display_name":"Ruidong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Fang","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100568855","display_name":"Jucai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jucai Lin","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019934088","display_name":"Zheng-Teng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengteng Zhang","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606500","display_name":"Jun Yin","orcid":"https://orcid.org/0000-0002-8993-3178"},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yin","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052689516","display_name":"Xingming Zhang","orcid":"https://orcid.org/0000-0002-8139-0156"},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Zhang","raw_affiliation_strings":["R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"R&D Center, Zhejiang Dahua Technology Co., Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082995604"],"corresponding_institution_ids":["https://openalex.org/I4210151935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18346777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"250"},"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":0.9994000196456909,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8275400400161743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8092343807220459},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7902646064758301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7117250561714172},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6792422533035278},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5831108689308167},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5145065784454346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47692081332206726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4469645023345947},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4455389678478241},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44336527585983276},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44094598293304443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.427121102809906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3686147630214691},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28217804431915283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20085066556930542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08815479278564453}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8275400400161743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092343807220459},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7902646064758301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7117250561714172},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6792422533035278},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5831108689308167},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5145065784454346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47692081332206726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4469645023345947},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4455389678478241},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44336527585983276},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44094598293304443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.427121102809906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3686147630214691},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28217804431915283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20085066556930542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08815479278564453},{"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},{"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:10.1145/3376067.3376086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3376067.3376086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Video and Image Processing","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/W54257720","https://openalex.org/W1985050490","https://openalex.org/W2049340374","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2142683286","https://openalex.org/W2188901757","https://openalex.org/W2194775991","https://openalex.org/W2273561594","https://openalex.org/W2476548250","https://openalex.org/W2508457857","https://openalex.org/W2578009003","https://openalex.org/W2735224642","https://openalex.org/W2791562903","https://openalex.org/W2893711023","https://openalex.org/W2945554889","https://openalex.org/W2963344371","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963494934","https://openalex.org/W2964156315","https://openalex.org/W2965669158","https://openalex.org/W3105540235","https://openalex.org/W4214553437","https://openalex.org/W4250955649","https://openalex.org/W6600195515","https://openalex.org/W6749012761"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W3165542721","https://openalex.org/W2370786670","https://openalex.org/W4243608781","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W1520703599","https://openalex.org/W2595043295","https://openalex.org/W2032778808"],"abstract_inverted_index":{"A":[0],"pyramid":[1,88],"residual":[2,73],"convolutional":[3,89],"neural":[4,36,90],"network":[5,37,51,91],"(PRCNN)":[6],"is":[7,21,61,107],"proposed":[8,77,118,139],"to":[9,23,63,78,92,98,109,148,151],"restore":[10],"image":[11,43],"with":[12,135],"compression":[13,122,154],"artifacts":[14,123,155],"in":[15,42,65,158],"this":[16,85],"paper,":[17],"and":[18,59,82,126,129,144],"the":[19,72,102,117,130],"method":[20,106,140],"enable":[22],"process":[24],"multiple":[25],"resolutions":[26],"by":[27],"fixing":[28],"patch":[29,104],"size":[30],"extracted":[31],"from":[32,146],"whole":[33],"image.":[34],"Convolutional":[35],"has":[38],"reached":[39],"great":[40],"performance":[41,81],"processing":[44],"(e.g.":[45],"denoise,":[46],"deblur,":[47],"super-resolution),":[48],"however":[49],"deeper":[50],"may":[52],"cause":[53],"vanishing":[54],"or":[55],"exploding":[56],"gradient":[57],"problems,":[58],"it":[60],"hard":[62],"apply":[64],"realistic":[66,111],"scene":[67],"for":[68],"high":[69],"complexity.":[70],"Thus,":[71],"blocks":[74],"(RB)":[75],"are":[76,133,156],"balance":[79],"between":[80],"application,":[83],"besides,":[84],"paper":[86],"exploits":[87],"learn":[93],"coarse-fine":[94],"feature.":[95],"In":[96],"order":[97],"handle":[99],"various":[100],"resolutions,":[101],"fixed":[103],"based":[105],"used":[108],"adapt":[110],"scene.":[112],"The":[113,138],"experiment":[114],"shows":[115],"that":[116],"algorithm":[119],"can":[120,141],"reduce":[121],"through":[124],"objective":[125],"subjective":[127],"assessment,":[128],"training/testing":[131],"data":[132],"collected":[134],"H.264":[136],"coding.":[137],"improve":[142],"PSNR":[143],"SSIM":[145],"0.54dB":[147],"1.41dB,":[149],"0.01":[150],"0.04":[152],"while":[153],"reduced":[157],"visual":[159],"quality,":[160],"respectively.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}