{"id":"https://openalex.org/W4402980306","doi":"https://doi.org/10.1109/icme57554.2024.10687468","title":"Powerful Lossy Compression for Noisy Images","display_name":"Powerful Lossy Compression for Noisy Images","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980306","doi":"https://doi.org/10.1109/icme57554.2024.10687468"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5049309570","display_name":"Shilv Cai","orcid":"https://orcid.org/0000-0002-4037-4555"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shilv Cai","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004719842","display_name":"Xiaoguo Liang","orcid":"https://orcid.org/0000-0003-0026-4594"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguo Liang","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044226705","display_name":"Shuning Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuning Cao","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653923","display_name":"Luxin Yan","orcid":"https://orcid.org/0000-0002-5445-2702"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxin Yan","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026169204","display_name":"Sheng Zhong","orcid":"https://orcid.org/0000-0003-2865-8202"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhong","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658217","display_name":"Li\u2010Qun Chen","orcid":"https://orcid.org/0000-0002-3694-0833"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Chen","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067026960","display_name":"Xu Zou","orcid":"https://orcid.org/0000-0002-0251-7404"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zou","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5049309570"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66333674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9830999970436096,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9830999970436096,"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":0.9786999821662903,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9503999948501587,"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/lossy-compression","display_name":"Lossy compression","score":0.9244734644889832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6718937158584595},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5961686372756958},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5320158004760742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46306484937667847},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.44396835565567017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984085023403168},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1898384392261505},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17980057001113892},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08418193459510803}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9244734644889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718937158584595},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5961686372756958},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5320158004760742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46306484937667847},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.44396835565567017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984085023403168},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1898384392261505},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17980057001113892},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08418193459510803},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1966420457","https://openalex.org/W2005089986","https://openalex.org/W2009272644","https://openalex.org/W2048695508","https://openalex.org/W2097073572","https://openalex.org/W2108539424","https://openalex.org/W2552465432","https://openalex.org/W2785562966","https://openalex.org/W2789010967","https://openalex.org/W2799192307","https://openalex.org/W2963200935","https://openalex.org/W2963725279","https://openalex.org/W2986186783","https://openalex.org/W3034469748","https://openalex.org/W3035383808","https://openalex.org/W3091266734","https://openalex.org/W3174300208","https://openalex.org/W3175457126","https://openalex.org/W3176469911","https://openalex.org/W3188520720","https://openalex.org/W4286901804","https://openalex.org/W4294219447","https://openalex.org/W4312411808","https://openalex.org/W4312597589","https://openalex.org/W4386065363","https://openalex.org/W4386215107","https://openalex.org/W6633884508","https://openalex.org/W6734035190","https://openalex.org/W6739901393","https://openalex.org/W6754634825","https://openalex.org/W6773431304","https://openalex.org/W6810067190"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W4313046148","https://openalex.org/W2751842002","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546","https://openalex.org/W3080614128"],"abstract_inverted_index":{"Image":[0],"compression":[1,104],"and":[2,30,99,105,123,137],"denoising":[3,106],"represent":[4],"fundamental":[5],"challenges":[6],"in":[7,86],"image":[8,103],"processing":[9],"with":[10],"many":[11],"real-world":[12,138],"applications.":[13],"To":[14,82],"address":[15],"practical":[16],"demands,":[17],"current":[18],"solutions":[19],"can":[20],"be":[21],"categorized":[22],"into":[23],"two":[24],"main":[25,117],"strategies:":[26],"1)":[27],"sequential":[28,35],"method;":[29],"2)":[31],"joint":[32,67,95,143],"method.":[33],"However,":[34],"methods":[36],"have":[37,79],"the":[38,53,116,120,124],"disadvantage":[39],"of":[40,70,76],"error":[41],"accumulation":[42],"as":[43],"there":[44],"is":[45],"information":[46],"loss":[47],"between":[48],"multiple":[49],"individual":[50],"models.":[51],"Recently,":[52],"academic":[54],"community":[55],"began":[56],"to":[57,61],"make":[58],"some":[59],"attempts":[60],"tackle":[62],"this":[63,87],"problem":[64],"through":[65],"end-to-end":[66,111],"methods.":[68,148],"Most":[69],"them":[71],"ignore":[72],"that":[73,141],"different":[74,80],"regions":[75],"noisy":[77],"images":[78],"characteristics.":[81],"solve":[83],"these":[84],"problems,":[85],"paper,":[88],"our":[89,142],"proposed":[90],"signal-to-noise":[91,125],"ratio":[92,126],"(SNR)":[93,127],"aware":[94,128],"solution":[96,144],"exploits":[97],"local":[98],"non-local":[100],"features":[101],"for":[102],"simultaneously.":[107],"We":[108,130],"design":[109],"an":[110],"trainable":[112],"network,":[113],"which":[114],"includes":[115],"encoder":[118],"branch,":[119,122],"guidance":[121],"branch.":[129],"conducted":[131],"extensive":[132],"experiments":[133],"on":[134],"both":[135],"synthetic":[136],"datasets,":[139],"demonstrating":[140],"outperforms":[145],"existing":[146],"state-of-the-art":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
