{"id":"https://openalex.org/W1512979090","doi":"https://doi.org/10.1109/pcs.2015.7170073","title":"Lossless image compression based on Kernel Least Mean Squares","display_name":"Lossless image compression based on Kernel Least Mean Squares","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1512979090","doi":"https://doi.org/10.1109/pcs.2015.7170073","mag":"1512979090"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2015.7170073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2015.7170073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031266598","display_name":"Ruben Verhack","orcid":"https://orcid.org/0000-0001-6636-629X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["BE","DE"],"is_corresponding":false,"raw_author_name":"Ruben Verhack","raw_affiliation_strings":["Ghent University - iMinds - Multimedia Lab, Ghent, Belgium","Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - iMinds - Multimedia Lab, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010793737","display_name":"Lieven Lange","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lieven Lange","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066816962","display_name":"Peter Lambert","orcid":"https://orcid.org/0000-0001-5313-4158"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Lambert","raw_affiliation_strings":["Ghent University - iMinds - Multimedia Lab, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - iMinds - Multimedia Lab, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017556432","display_name":"Rik Van de Walle","orcid":"https://orcid.org/0000-0002-7491-5145"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rik Van de Walle","raw_affiliation_strings":["Ghent University - iMinds - Multimedia Lab, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - iMinds - Multimedia Lab, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113970295","display_name":"Thomas Sikora","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Sikora","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Lab, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5407,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7259511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"189","last_page":"193"},"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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":0.704193115234375},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5805931091308594},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5630849599838257},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.552897572517395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393514633178711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5160920023918152},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5069289803504944},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5019149780273438},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4883532226085663},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.44164127111434937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42862948775291443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4027274549007416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38962024450302124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32573169469833374},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3000341057777405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17383551597595215}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.704193115234375},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5805931091308594},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5630849599838257},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.552897572517395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393514633178711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5160920023918152},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5069289803504944},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5019149780273438},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4883532226085663},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.44164127111434937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42862948775291443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027274549007416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38962024450302124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32573169469833374},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3000341057777405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17383551597595215},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pcs.2015.7170073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2015.7170073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:7033376","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-7033376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 978-1-4799-7783-3","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321732","display_name":"Agentschap voor Innovatie door Wetenschap en Technologie","ror":"https://ror.org/01antkr91"},{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"},{"id":"https://openalex.org/F4320324094","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W616767364","https://openalex.org/W1490417975","https://openalex.org/W1559384551","https://openalex.org/W1590842942","https://openalex.org/W1819447595","https://openalex.org/W2006262236","https://openalex.org/W2027707779","https://openalex.org/W2066711047","https://openalex.org/W2069017697","https://openalex.org/W2095134976","https://openalex.org/W2099563019","https://openalex.org/W2119821739","https://openalex.org/W2130770975","https://openalex.org/W2135083501","https://openalex.org/W2146323064","https://openalex.org/W2153638435","https://openalex.org/W2167932108","https://openalex.org/W4239510810","https://openalex.org/W4299547722","https://openalex.org/W6633406639"],"related_works":["https://openalex.org/W4296054743","https://openalex.org/W2125224196","https://openalex.org/W2128890367","https://openalex.org/W1992857328","https://openalex.org/W1545443801","https://openalex.org/W1810995209","https://openalex.org/W2167897635","https://openalex.org/W3011890121","https://openalex.org/W2170977586","https://openalex.org/W2600422570"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"introduces":[2],"a":[3,63,97,113],"novel":[4],"approach":[5,19],"for":[6,142],"coding":[7,109],"luminance":[8,87],"images":[9],"using":[10,89,112],"kernel-based":[11],"adaptive":[12],"filtering":[13],"and":[14,29,40,69,77],"context-adaptive":[15],"arithmetic":[16],"coding.":[17,131],"tackles":[20],"the":[21,38,44,52,55,72,75,81,90,102,110,118,124,143],"problem":[22],"that":[23,67,85],"is":[24,60,120,140],"present":[25],"in":[26,80],"current":[27,125],"image":[28,39,65,130],"video":[30],"coders;":[31],"these":[32],"coders":[33],"depend":[34],"on":[35],"assumptions":[36],"of":[37,46,51,74,128,136],"are":[41],"constrained":[42],"by":[43],"linearity":[45],"their":[47],"predictors.":[48],"The":[49,58],"efficacy":[50],"predictors":[53],"determines":[54],"compression":[56],"gain.":[57],"goal":[59],"to":[61,71,101,122],"create":[62],"generic":[64],"coder":[66],"learns":[68],"adapts":[70],"characteristics":[73],"signals":[76],"handles":[78],"nonlinearity":[79],"prediction.":[82],"Results":[83],"show":[84],"pixel":[86],"prediction":[88],"Kernel":[91],"Least":[92,104],"Mean":[93,105],"Squares":[94,106],"(KLMS)":[95],"yields":[96],"significant":[98],"gain":[99],"compared":[100],"standard":[103],"algorithm.":[107],"By":[108],"residual":[111],"Context-Adaptive":[114],"Arithmetic":[115],"Coder":[116],"(CAAC),":[117],"codec":[119],"able":[121],"outperform":[123],"industry":[126],"standards":[127],"lossless":[129],"An":[132],"average":[133],"bitrate":[134],"reduction":[135],"more":[137],"than":[138],"2.5%":[139],"found":[141],"used":[144],"test":[145],"set.":[146]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
