{"id":"https://openalex.org/W4316660415","doi":"https://doi.org/10.1109/vcip56404.2022.10008809","title":"Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression","display_name":"Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4316660415","doi":"https://doi.org/10.1109/vcip56404.2022.10008809"},"language":"en","primary_location":{"id":"doi:10.1109/vcip56404.2022.10008809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip56404.2022.10008809","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5011829755","display_name":"Xiaoshuai Fan","orcid":"https://orcid.org/0000-0002-0461-6713"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshuai Fan","raw_affiliation_strings":["Unviersity of Science and Technology of China,Hefei,China","Unviersity of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Unviersity of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Unviersity of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353783","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-0144-9489"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Unviersity of Science and Technology of China,Hefei,China","Unviersity of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Unviersity of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Unviersity of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079572598","display_name":"Zhibo Chen","orcid":"https://orcid.org/0000-0002-8525-5066"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Chen","raw_affiliation_strings":["Unviersity of Science and Technology of China,Hefei,China","Unviersity of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Unviersity of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Unviersity of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011829755"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46306859,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.8308214545249939},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.7908240556716919},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7415745854377747},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.729269802570343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247995138168335},{"id":"https://openalex.org/keywords/transcoding","display_name":"Transcoding","score":0.6275306940078735},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5855302810668945},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5797366499900818},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5631071925163269},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5563979148864746},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5482233166694641},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5399790406227112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238813757896423},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.48191335797309875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4641714096069336},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.42871707677841187},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41340315341949463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3406781554222107},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19907787442207336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.059922248125076294}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8308214545249939},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.7908240556716919},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7415745854377747},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.729269802570343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247995138168335},{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.6275306940078735},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5855302810668945},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5797366499900818},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5631071925163269},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5563979148864746},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5482233166694641},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5399790406227112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238813757896423},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.48191335797309875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4641714096069336},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.42871707677841187},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41340315341949463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3406781554222107},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19907787442207336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.059922248125076294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip56404.2022.10008809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip56404.2022.10008809","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1080581378","display_name":null,"funder_award_id":"U1908209,62021001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1586809628","display_name":null,"funder_award_id":"2018AAA0101400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1577505202","https://openalex.org/W1959608418","https://openalex.org/W1966252081","https://openalex.org/W1985240268","https://openalex.org/W1991719850","https://openalex.org/W2030205807","https://openalex.org/W2057866519","https://openalex.org/W2064076387","https://openalex.org/W2117460865","https://openalex.org/W2117539524","https://openalex.org/W2139855869","https://openalex.org/W2140196014","https://openalex.org/W2143549718","https://openalex.org/W2156091259","https://openalex.org/W2170023599","https://openalex.org/W2741137940","https://openalex.org/W2905634902","https://openalex.org/W2949361041","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W2964122153","https://openalex.org/W2965631471","https://openalex.org/W2971904947","https://openalex.org/W3014856200","https://openalex.org/W3034469748","https://openalex.org/W3035294152","https://openalex.org/W3035548386","https://openalex.org/W3094253649","https://openalex.org/W3173794271","https://openalex.org/W3207351130","https://openalex.org/W4287282209","https://openalex.org/W4288350902","https://openalex.org/W4292787477","https://openalex.org/W4294567867","https://openalex.org/W4320901380","https://openalex.org/W6681245444","https://openalex.org/W6735848907","https://openalex.org/W6754634825","https://openalex.org/W6762805079","https://openalex.org/W6763133020","https://openalex.org/W7019378068"],"related_works":["https://openalex.org/W1993099464","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W2044671111","https://openalex.org/W3190486427","https://openalex.org/W1992410481","https://openalex.org/W2145138541","https://openalex.org/W2441603424","https://openalex.org/W2169405113","https://openalex.org/W3137515556"],"abstract_inverted_index":{"As":[0],"a":[1,69,141],"commonly-used":[2],"image":[3,42],"compression":[4,22,149,178],"format,":[5],"JPEG":[6,29,41,88,180,216],"has":[7,34],"been":[8,35],"broadly":[9],"applied":[10],"in":[11,43,68,111,140,176,212],"the":[12,21,26,39,44,50,55,62,80,85,101,107,112,116,123,127,135,156,177,184,220],"transmission":[13],"and":[14,60,76,94,191],"storage":[15],"of":[16,28,57,65,98,118,137,158,179,186],"images.":[17],"To":[18,78,115],"further":[19],"reduce":[20,54,134],"cost":[23],"while":[24],"maintaining":[25],"quality":[27],"images,":[30],"lossless":[31,87,151,222],"transcoding":[32,89,171,223],"technology":[33],"proposed":[36,170,204],"to":[37,125,133,183],"recompress":[38],"compressed":[40],"DCT":[45,58,113,138,160],"domain.":[46,144],"Previous":[47],"works,":[48],"on":[49,106,197,215],"other":[51],"hand,":[52],"typically":[53],"redundancy":[56,108,136],"coefficients":[59,139,161],"optimize":[61],"probability":[63],"prediction":[64],"entropy":[66,102,167,193],"coding":[67,132,190],"hand-crafted":[70],"manner":[71],"that":[72,109,202],"lacks":[73],"generalization":[74],"ability":[75],"flexibility.":[77],"tackle":[79],"above":[81],"challenge,":[82],"we":[83,104,121],"propose":[84],"learned":[86,128,187],"framework":[90,205,224],"via":[91],"Joint":[92],"Lossy":[93],"Residual":[95],"Compression.":[96],"Instead":[97],"directly":[99],"optimizing":[100],"estimation,":[103],"focus":[105],"exists":[110],"coefficients.":[114],"best":[117],"our":[119,203],"knowledge,":[120],"are":[122],"first":[124],"utilize":[126],"end-to-end":[129],"lossy":[130,188],"transform":[131,189],"compact":[142],"representational":[143],"We":[145],"also":[146],"introduce":[147],"residual":[148,159,192],"for":[150],"transcoding,":[152],"which":[153,218],"adaptively":[154],"learns":[155],"distribution":[157],"before":[162],"compressing":[163],"them":[164],"using":[165],"context-based":[166],"coding.":[168,194],"Our":[169],"architecture":[172],"shows":[173],"significant":[174],"superiority":[175],"images":[181],"thanks":[182],"collaboration":[185],"Extensive":[195],"experi-ments":[196],"multiple":[198],"datasets":[199],"have":[200],"demonstrated":[201],"can":[206],"achieve":[207],"about":[208],"21.49%":[209],"bits":[210],"saving":[211],"average":[213],"based":[214],"compression,":[217],"outperforms":[219],"typical":[221],"JPEG-XL":[225],"by":[226],"3.51%.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}