{"id":"https://openalex.org/W4375929061","doi":"https://doi.org/10.1109/tcsvt.2023.3273578","title":"Learned Lossless Image Compression Through Interpolation With Low Complexity","display_name":"Learned Lossless Image Compression Through Interpolation With Low Complexity","publication_year":2023,"publication_date":"2023-05-08","ids":{"openalex":"https://openalex.org/W4375929061","doi":"https://doi.org/10.1109/tcsvt.2023.3273578"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3273578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3273578","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5009556702","display_name":"Fatih Kam\u0131\u015fl\u0131","orcid":"https://orcid.org/0000-0001-7112-1633"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Fatih Kamisli","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009556702"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.6149,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68358893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"33","issue":"12","first_page":"7832","last_page":"7841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9965000152587891,"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":0.9955000281333923,"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/lossless-compression","display_name":"Lossless compression","score":0.7683372497558594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013818025588989},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6893209218978882},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6157182455062866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795000791549683},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48071911931037903},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4740861654281616},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.47133374214172363},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4618470072746277},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4111175537109375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3891998529434204},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3789810538291931},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3692702054977417},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.353685200214386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21515357494354248}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7683372497558594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013818025588989},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6893209218978882},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6157182455062866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795000791549683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48071911931037903},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4740861654281616},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.47133374214172363},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4618470072746277},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4111175537109375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3891998529434204},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3789810538291931},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3692702054977417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.353685200214386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21515357494354248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3273578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3273578","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1877865836","https://openalex.org/W1952343562","https://openalex.org/W2030265202","https://openalex.org/W2103833468","https://openalex.org/W2104291851","https://openalex.org/W2120051712","https://openalex.org/W2153638435","https://openalex.org/W2170023599","https://openalex.org/W2194775991","https://openalex.org/W2406862955","https://openalex.org/W2471003056","https://openalex.org/W2500135791","https://openalex.org/W2518435514","https://openalex.org/W2552465432","https://openalex.org/W2785562966","https://openalex.org/W2917583897","https://openalex.org/W2962676454","https://openalex.org/W2963309852","https://openalex.org/W2964098744","https://openalex.org/W2965631471","https://openalex.org/W2993989702","https://openalex.org/W3015028689","https://openalex.org/W3034469748","https://openalex.org/W3091266734","https://openalex.org/W3108536229","https://openalex.org/W3175457126","https://openalex.org/W3202918664","https://openalex.org/W3215407536","https://openalex.org/W4295312788","https://openalex.org/W4297824565","https://openalex.org/W4312914762","https://openalex.org/W4312959332","https://openalex.org/W4385724779","https://openalex.org/W6631190155","https://openalex.org/W6732492507","https://openalex.org/W6754634825","https://openalex.org/W6763133020","https://openalex.org/W6766978945","https://openalex.org/W6771628455","https://openalex.org/W6775605725","https://openalex.org/W6803277560","https://openalex.org/W6838631492","https://openalex.org/W6847033191"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W4327499886","https://openalex.org/W3180760233","https://openalex.org/W4294006383","https://openalex.org/W2096442341","https://openalex.org/W2751842002","https://openalex.org/W4210455546","https://openalex.org/W3080614128"],"abstract_inverted_index":{"With":[0],"the":[1,71,87,111,114,139,145,148,154],"increasing":[2],"popularity":[3],"of":[4,22,138,153],"deep":[5],"learning":[6],"in":[7,70,113,147],"image":[8,13,65],"processing,":[9],"many":[10],"learned":[11,63],"lossless":[12,64],"compression":[14,34,66,79],"methods":[15],"have":[16,53],"been":[17],"proposed":[18],"recently.":[19],"One":[20],"group":[21],"algorithms":[23],"are":[24,108],"based":[25,62],"on":[26,84],"scale-based":[27,72,89],"auto-regressive":[28,73,90],"models":[29,74],"and":[30,42,52,102,117,143],"can":[31],"provide":[32],"competitive":[33],"performance":[35,80],"while":[36],"also":[37],"allowing":[38],"easily":[39],"parallelized":[40],"computations":[41],"short":[43],"encoding/decoding":[44,103],"times.":[45],"However,":[46],"they":[47],"use":[48],"large":[49],"neural":[50,98,118,126,133],"networks":[51,127,134],"high":[54],"computational":[55],"requirements.":[56],"This":[57],"paper":[58],"presents":[59],"an":[60],"interpolation":[61],"method":[67,77],"which":[68],"falls":[69],"group.":[75],"The":[76],"achieves":[78],"better":[81],"than":[82,95],"or":[83],"par":[85],"with":[86],"recent":[88],"models,":[91],"yet":[92],"requires":[93],"more":[94],"10x":[96],"less":[97],"network":[99,119],"parameters":[100,137],"(0.19M)":[101],"computation":[104],"complexity.":[105],"These":[106],"achievements":[107],"due":[109],"to":[110],"contributions/findings":[112],"overall":[115],"system":[116],"architecture":[120],"design,":[121],"such":[122],"as":[123],"sharing":[124],"interpolator":[125],"across":[128],"different":[129,136],"scales,":[130],"using":[131],"separate":[132],"for":[135],"probability":[140],"distribution":[141],"model":[142],"performing":[144],"processing":[146],"YCoCg-R":[149],"color":[150,156],"space":[151],"instead":[152],"RGB":[155],"space.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
