{"id":"https://openalex.org/W2320356851","doi":"https://doi.org/10.1109/tcsvt.2015.2416611","title":"Context-Based Predictor Blending for Lossless Color Image Compression","display_name":"Context-Based Predictor Blending for Lossless Color Image Compression","publication_year":2015,"publication_date":"2015-03-25","ids":{"openalex":"https://openalex.org/W2320356851","doi":"https://doi.org/10.1109/tcsvt.2015.2416611","mag":"2320356851"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2015.2416611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2416611","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/A5002596904","display_name":"Tilo Strutz","orcid":"https://orcid.org/0000-0001-5063-6515"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]},{"id":"https://openalex.org/I4210158023","display_name":"Hochschule f\u00fcr Telekommunikation Leipzig","ror":"https://ror.org/05k9vmz93","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210158023"]},{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tilo Strutz","raw_affiliation_strings":["Institute of Communications Engineering, Deutsche Telekom, Leipzig University of Telecommunications, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, Deutsche Telekom, Leipzig University of Telecommunications, Leipzig, Germany","institution_ids":["https://openalex.org/I4210158023","https://openalex.org/I4210093367","https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002596904"],"corresponding_institution_ids":["https://openalex.org/I4210093367","https://openalex.org/I4210158023","https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":1.2887,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87119359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"687","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9958999752998352,"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":0.7544037699699402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289659738540649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194449663162231},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5928806662559509},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5880357623100281},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.570059061050415},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5483676195144653},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46408745646476746},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.44993168115615845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4483182430267334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4466191530227661},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3950662612915039},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3857458829879761},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32999515533447266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3231516480445862}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7544037699699402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289659738540649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194449663162231},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5928806662559509},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5880357623100281},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.570059061050415},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5483676195144653},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46408745646476746},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.44993168115615845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4483182430267334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4466191530227661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3950662612915039},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3857458829879761},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32999515533447266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3231516480445862},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2015.2416611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2015.2416611","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W46213247","https://openalex.org/W104269641","https://openalex.org/W1525840521","https://openalex.org/W1548761446","https://openalex.org/W1870104416","https://openalex.org/W1878076697","https://openalex.org/W1990500858","https://openalex.org/W1993372936","https://openalex.org/W2009607723","https://openalex.org/W2029622461","https://openalex.org/W2034886392","https://openalex.org/W2040268699","https://openalex.org/W2066711047","https://openalex.org/W2069431347","https://openalex.org/W2080620018","https://openalex.org/W2094677247","https://openalex.org/W2095163590","https://openalex.org/W2096445898","https://openalex.org/W2109341605","https://openalex.org/W2118285300","https://openalex.org/W2118612677","https://openalex.org/W2126894943","https://openalex.org/W2131499030","https://openalex.org/W2140129192","https://openalex.org/W2149874402","https://openalex.org/W2152066778","https://openalex.org/W2152411183","https://openalex.org/W2158347320","https://openalex.org/W2168202799","https://openalex.org/W2261625950","https://openalex.org/W2336065778","https://openalex.org/W4237091858","https://openalex.org/W6601824964","https://openalex.org/W6631408633","https://openalex.org/W6677542310","https://openalex.org/W6682235648","https://openalex.org/W6682510536","https://openalex.org/W6693085483","https://openalex.org/W6703263631"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2082705439","https://openalex.org/W2357231169","https://openalex.org/W4327499886","https://openalex.org/W2549477129","https://openalex.org/W4382998692","https://openalex.org/W2088378984","https://openalex.org/W2945911613","https://openalex.org/W405334833","https://openalex.org/W2361223033"],"abstract_inverted_index":{"Images":[0],"are":[1,40],"typically":[2],"nonstationary":[3],"signals.":[4],"If":[5],"prediction":[6,51,76,99,105,121],"is":[7,68,101,118,123],"applied":[8],"in":[9,42,125],"a":[10,18,43,49,107,126,141,149,154],"linear":[11,98],"fashion,":[12],"it":[13],"must":[14],"be":[15,31],"combined":[16,102],"with":[17,103,135],"technique":[19,100],"that":[20,110],"takes":[21],"this":[22],"characteristic":[23],"into":[24],"account.":[25],"In":[26,133],"general,":[27],"images":[28],"can":[29],"either":[30],"regarded":[32],"as":[33,58],"piecewise":[34],"2-D":[35],"autoregressive":[36],"processes":[37],"or":[38],"they":[39],"handled":[41],"blockwise":[44],"manner.":[45],"This":[46],"paper":[47],"presents":[48],"novel":[50],"technique,":[52],"which":[53],"treats":[54],"the":[55,71,87,91,94,112,115,145],"image":[56,131],"data":[57],"an":[59,136],"interleaved":[60],"sequence":[61,72],"generated":[62],"by":[63],"multiple":[64],"sources.":[65],"The":[66,82,96,120],"challenge":[67],"to":[69,74],"deinterleave":[70],"and":[73,106,140],"compute":[75],"weights":[77],"for":[78,128,153],"each":[79],"subsource":[80],"separately.":[81],"proposed":[83,146],"approach":[84,147],"adaptively":[85],"determines":[86],"subsources":[88],"based":[89],"on":[90],"textures":[92],"surrounding":[93],"pixels.":[95],"new":[97],"template-matching":[104],"blending":[108],"method":[109,122],"considers":[111],"correlation":[113],"between":[114],"predictors'":[116],"estimates":[117],"proposed.":[119],"incorporated":[124],"framework":[127],"lossless":[129],"color":[130,138,159],"compression.":[132],"combination":[134],"adaptive":[137],"transform":[139],"dedicated":[142],"coding":[143],"algorithm,":[144],"shows":[148],"competitive":[150],"compression":[151],"performance":[152],"wide":[155],"range":[156],"of":[157],"natural":[158],"images.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
