{"id":"https://openalex.org/W4400232786","doi":"https://doi.org/10.1109/iscas58744.2024.10558635","title":"Asymmetric Neural Image Compression with High-Preserving Information","display_name":"Asymmetric Neural Image Compression with High-Preserving Information","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400232786","doi":"https://doi.org/10.1109/iscas58744.2024.10558635"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5048675276","display_name":"Kai Hu","orcid":"https://orcid.org/0000-0001-7181-9935"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Hu","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100310421","display_name":"Yu Liu","orcid":"https://orcid.org/0009-0001-8163-689X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029864888","display_name":"Fang Xu","orcid":"https://orcid.org/0000-0003-4712-6738"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Xu","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064772453","display_name":"Renhe Liu","orcid":"https://orcid.org/0000-0002-5708-6074"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renhe Liu","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452641","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-5448-9903"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Tianjin University,School of Microelectronics,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,School of Microelectronics,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025467937","display_name":"Shenghui Song","orcid":"https://orcid.org/0000-0001-6316-8415"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shenghui Song","raw_affiliation_strings":["Hong Kong University of Science and Technology,Hongkong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Hongkong,China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70536747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9634000062942505,"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/computer-science","display_name":"Computer science","score":0.6539863348007202},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6366366147994995},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5647202730178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474905371665955},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5235490202903748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5138823986053467},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4887089729309082},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.263897567987442},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08019018173217773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6539863348007202},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6366366147994995},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5647202730178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474905371665955},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5235490202903748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5138823986053467},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4887089729309082},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.263897567987442},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08019018173217773},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-142553","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-142553","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2101700394","https://openalex.org/W2146395539","https://openalex.org/W2423557781","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2785562966","https://openalex.org/W2893920456","https://openalex.org/W2949361041","https://openalex.org/W2962891349","https://openalex.org/W2963814095","https://openalex.org/W3034469748","https://openalex.org/W3091266734","https://openalex.org/W3097448661","https://openalex.org/W3116647679","https://openalex.org/W3131427579","https://openalex.org/W3134748538","https://openalex.org/W4224952155","https://openalex.org/W4225607460","https://openalex.org/W4287020683","https://openalex.org/W4287605633","https://openalex.org/W4292256660","https://openalex.org/W4312806968","https://openalex.org/W4385080079","https://openalex.org/W4386310553","https://openalex.org/W6675207249","https://openalex.org/W6754634825","https://openalex.org/W6755487101","https://openalex.org/W6764407433","https://openalex.org/W6810067190","https://openalex.org/W6810638181"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2612632602","https://openalex.org/W2595043295"],"abstract_inverted_index":{"Recently,":[0],"neural":[1],"image":[2,52],"compression":[3,42,53,63],"has":[4,12],"made":[5],"significant":[6],"progress":[7],"in":[8,93,126],"reducing":[9],"rate-distortion":[10],"and":[11,80,131,134,137,146],"received":[13],"widespread":[14],"attention.":[15],"However,":[16],"existing":[17],"methods":[18],"focus":[19],"more":[20],"on":[21,143],"perfecting":[22],"entropy":[23],"models":[24],"yet":[25],"overlook":[26],"the":[27,57,89,99,123,144],"ability":[28],"of":[29,37,74,128],"their":[30],"encoder":[31,106],"networks":[32],"to":[33,55,86,102,122],"extract":[34],"non-linear":[35],"features":[36],"images,":[38],"which":[39],"can":[40],"promote":[41],"performance.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,66,96],"design":[48,103],"a":[49,68,75,81,104],"learning-based":[50],"asymmetric":[51],"network":[54,107,119],"enhance":[56],"feature":[58,82,110],"representation":[59],"capability":[60],"for":[61,108],"improved":[62],"quality.":[64],"Firstly,":[65],"propose":[67],"high-preserving":[69],"information":[70,92],"block":[71],"(HPIB)":[72],"consisting":[73],"high-frequency":[76],"filtering":[77],"module":[78,84],"(HFM)":[79],"modulation":[83],"(FMM)":[85],"fully":[87],"utilize":[88],"different":[90],"frequency":[91],"images.":[94],"Secondly,":[95],"progressively":[97],"use":[98],"HPIB":[100],"layer":[101],"high-performance":[105],"high-fidelity":[109],"extraction.":[111],"Results":[112],"from":[113],"extensive":[114],"experiments":[115],"demonstrate":[116],"that":[117],"our":[118],"performs":[120],"superior":[121],"prior":[124],"art":[125],"terms":[127],"both":[129],"PSNR":[130],"MS-SSIM":[132],"metrics":[133],"achieves":[135],"3.91%":[136],"8.88":[138],"%":[139],"BD-rate":[140],"over":[141],"VVC":[142],"Kodak":[145],"CLIC":[147],"datasets,":[148],"respectively.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
