{"id":"https://openalex.org/W4413394747","doi":"https://doi.org/10.1109/tip.2025.3598916","title":"Rate-Distortion-Complexity Optimized Framework for Multi-Model Image Compression","display_name":"Rate-Distortion-Complexity Optimized Framework for Multi-Model Image Compression","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413394747","doi":"https://doi.org/10.1109/tip.2025.3598916","pmid":"https://pubmed.ncbi.nlm.nih.gov/40839503"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3598916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3598916","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xinyu Hang","orcid":"https://orcid.org/0009-0001-0043-0161"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Hang","raw_affiliation_strings":["State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0043-0161","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013263839","display_name":"Ziqing Ge","orcid":"https://orcid.org/0009-0007-8987-8862"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqing Ge","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Science, Beijing, China","Institute of Computing Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-8987-8862","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102740478","display_name":"Hongfei Fan","orcid":"https://orcid.org/0000-0002-3212-3967"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongfei Fan","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292663","display_name":"Chuanmin Jia","orcid":"https://orcid.org/0000-0002-7418-6245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmin Jia","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7418-6245","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2731-5403","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8070-802X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18108778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"5385","last_page":"5399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9785000085830688,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/image-compression","display_name":"Image compression","score":0.6735759377479553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5888912081718445},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5639898777008057},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4949454665184021},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4945981204509735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4770714044570923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47321978211402893},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4511108994483948},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44420167803764343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4158826470375061},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.15376785397529602},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10273575782775879}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6735759377479553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5888912081718445},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5639898777008057},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4949454665184021},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4945981204509735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4770714044570923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47321978211402893},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4511108994483948},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44420167803764343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4158826470375061},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.15376785397529602},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10273575782775879},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3598916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3598916","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40839503","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40839503","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6004317203","display_name":null,"funder_award_id":"62371008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7903788244","display_name":null,"funder_award_id":"62025101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8212228297","display_name":null,"funder_award_id":"62031013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1967483773","https://openalex.org/W2040870580","https://openalex.org/W2040903332","https://openalex.org/W2054253355","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2163135348","https://openalex.org/W2169161136","https://openalex.org/W2170023599","https://openalex.org/W2417716951","https://openalex.org/W2490784316","https://openalex.org/W2962785568","https://openalex.org/W2963149687","https://openalex.org/W2963801130","https://openalex.org/W2971911529","https://openalex.org/W3034469748","https://openalex.org/W3088505943","https://openalex.org/W3091266734","https://openalex.org/W3131427579","https://openalex.org/W3173563913","https://openalex.org/W3174231492","https://openalex.org/W3176997885","https://openalex.org/W3202918664","https://openalex.org/W3209814877","https://openalex.org/W4309134821","https://openalex.org/W4311415873","https://openalex.org/W4312806968","https://openalex.org/W4323338643","https://openalex.org/W4385494072","https://openalex.org/W4386075611","https://openalex.org/W4387245321","https://openalex.org/W4387449305","https://openalex.org/W4390120190","https://openalex.org/W4401878737","https://openalex.org/W4410343042"],"related_works":["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/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"Learned":[0],"Image":[1],"Compression":[2],"(LIC)":[3],"has":[4],"experienced":[5],"rapid":[6],"growth":[7],"with":[8,134,197],"the":[9,15,27,71,85,98,110,156],"emergence":[10],"of":[11,30,73,115],"diverse":[12],"frameworks.":[13],"However,":[14],"variability":[16],"in":[17,108,153,168],"model":[18],"design":[19],"and":[20,76,112],"training":[21],"datasets":[22],"poses":[23],"a":[24,31,42,80,91,122,150,164],"challenge":[25],"for":[26,84,104,159],"universal":[28],"application":[29],"single":[32],"coding":[33,46],"model.":[34],"To":[35],"address":[36],"this":[37,39],"problem,":[38],"paper":[40],"introduces":[41],"pioneering":[43],"multi-model":[44],"image":[45,51,63,137],"framework":[47,66,89,131,148],"that":[48,146],"integrates":[49],"various":[50],"codecs":[52,60,138],"to":[53,61,172,201],"overcome":[54],"these":[55],"limitations.":[56],"By":[57],"dynamically":[58],"allocating":[59],"different":[62],"regions,":[64],"our":[65,130,147,184],"optimizes":[67],"reconstruction":[68,178],"quality":[69],"within":[70],"constraints":[72],"limited":[74],"bitrate":[75],"decoding":[77,169,198],"time,":[78],"offering":[79],"high-performance,":[81],"ubiquitous":[82],"solution":[83],"rate-distortion-complexity":[86],"trade-off.":[87],"Our":[88],"features":[90],"detailed":[92],"codec":[93,116],"assignment":[94,117],"algorithm":[95],"based":[96],"on":[97],"Simulated":[99],"Annealing":[100],"(SA)":[101],"method,":[102],"selected":[103],"its":[105],"proven":[106],"efficacy":[107],"managing":[109],"discrete":[111],"intricate":[113],"nature":[114],"optimization.":[118],"We":[119],"have":[120],"implemented":[121],"coarse-to-fine":[123],"strategy,":[124],"which":[125],"significantly":[126,190],"enhances":[127],"efficiency.":[128],"Notably,":[129],"maintains":[132],"compatibility":[133],"all":[135],"standard":[136,152],"without":[139,176],"necessitating":[140],"structural":[141],"modifications.":[142],"Empirical":[143],"results":[144],"indicate":[145],"establishes":[149],"new":[151],"LIC,":[154],"advancing":[155],"Pareto":[157],"frontier":[158],"performance-complexity":[160],"trade-offs.":[161],"It":[162],"achieves":[163],"significant":[165],"70%":[166],"reduction":[167],"time":[170],"compared":[171],"current":[173],"state-of-the-art":[174],"methods,":[175],"compromising":[177],"quality.":[179],"Furthermore,":[180],"under":[181],"comparable":[182],"conditions,":[183],"approach":[185],"not":[186],"only":[187],"outperforms":[188],"but":[189],"eclipses":[191],"existing":[192],"Rate-Distortion-Complexity":[193],"(RDC)":[194],"optimized":[195],"codecs,":[196],"speeds":[199],"up":[200],"30":[202],"times":[203],"faster.":[204]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
