{"id":"https://openalex.org/W2398465847","doi":"https://doi.org/10.1109/tip.2016.2571559","title":"Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression","display_name":"Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression","publication_year":2016,"publication_date":"2016-05-22","ids":{"openalex":"https://openalex.org/W2398465847","doi":"https://doi.org/10.1109/tip.2016.2571559","mag":"2398465847","pmid":"https://pubmed.ncbi.nlm.nih.gov/27244738"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2571559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2571559","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":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01388961","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023575932","display_name":"Mika\u00ebl Le Pendu","orcid":"https://orcid.org/0000-0002-4054-3742"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mikael Le Pendu","raw_affiliation_strings":["Institut National de Recherche en Informatique et Automatique, Rennes, France","Technicolor, Rennes, France"],"raw_orcid":"https://orcid.org/0000-0002-4054-3742","affiliations":[{"raw_affiliation_string":"Institut National de Recherche en Informatique et Automatique, Rennes, France","institution_ids":[]},{"raw_affiliation_string":"Technicolor, Rennes, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["Institut National de Recherche en Informatique et Automatique, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de Recherche en Informatique et Automatique, Rennes, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009479089","display_name":"Dominique Thoreau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Thoreau","raw_affiliation_strings":["Technicolor, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Rennes, France","institution_ids":["https://openalex.org/I4210121266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023575932"],"corresponding_institution_ids":["https://openalex.org/I4210121266"],"apc_list":null,"apc_paid":null,"fwci":0.8449,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80067195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":"8","first_page":"3585","last_page":"3596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T11666","display_name":"Color Science and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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/tone-mapping","display_name":"Tone mapping","score":0.7876514196395874},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6680534482002258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6132908463478088},{"id":"https://openalex.org/keywords/chromaticity","display_name":"Chromaticity","score":0.6069594621658325},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5731722116470337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551383376121521},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5406782627105713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509243369102478},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47959840297698975},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45556071400642395},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.4490606486797333},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43224337697029114},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4155632257461548},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.37672436237335205},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.30032581090927124},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23711365461349487},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23272675275802612}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.7876514196395874},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6680534482002258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6132908463478088},{"id":"https://openalex.org/C201780734","wikidata":"https://www.wikidata.org/wiki/Q5069880","display_name":"Chromaticity","level":2,"score":0.6069594621658325},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5731722116470337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551383376121521},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5406782627105713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509243369102478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47959840297698975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45556071400642395},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4490606486797333},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43224337697029114},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4155632257461548},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.37672436237335205},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.30032581090927124},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23711365461349487},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23272675275802612},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2016.2571559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2571559","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:27244738","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27244738","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},{"id":"pmh:oai:HAL:hal-01388961v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01388961","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2016, 25, pp.3585 - 3596. ⟨10.1109/TIP.2016.2571559⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01388961v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01388961","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2016, 25, pp.3585 - 3596. ⟨10.1109/TIP.2016.2571559⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W253693287","https://openalex.org/W1582694172","https://openalex.org/W1896522663","https://openalex.org/W1976478698","https://openalex.org/W1997746542","https://openalex.org/W1998710323","https://openalex.org/W2000512760","https://openalex.org/W2007207888","https://openalex.org/W2009420074","https://openalex.org/W2013670523","https://openalex.org/W2023292900","https://openalex.org/W2028199296","https://openalex.org/W2033551037","https://openalex.org/W2081418963","https://openalex.org/W2089544484","https://openalex.org/W2091468804","https://openalex.org/W2101700394","https://openalex.org/W2140557988","https://openalex.org/W2140600146","https://openalex.org/W2144018680","https://openalex.org/W2159144003","https://openalex.org/W2178228964","https://openalex.org/W2240434622","https://openalex.org/W2242047952","https://openalex.org/W2293876531","https://openalex.org/W2997077506","https://openalex.org/W2998514558","https://openalex.org/W2999388423","https://openalex.org/W6652464903","https://openalex.org/W6673069660"],"related_works":["https://openalex.org/W2081555434","https://openalex.org/W1179954120","https://openalex.org/W2164824458","https://openalex.org/W2046491730","https://openalex.org/W2884377208","https://openalex.org/W2389057472","https://openalex.org/W2031506336","https://openalex.org/W2014689642","https://openalex.org/W2115969764","https://openalex.org/W2028994033"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,70,86,92,113,127,139],"color":[4,65,114,149],"inter-layer":[5],"prediction":[6,107],"(ILP)":[7],"method":[8],"for":[9,50,131],"scalable":[10,140],"coding":[11],"of":[12,31,37,55,125,134,172],"high":[13],"dynamic":[14,22],"range":[15,23],"(HDR)":[16],"video":[17],"content":[18],"with":[19],"low":[21],"(LDR)":[24],"base":[25],"layer.":[26,63],"Relying":[27],"on":[28,95,112,152],"the":[29,35,52,56,60,74,80,96,117,132,153,160,167],"assumption":[30],"hue":[32,118],"preservation":[33],"between":[34],"colors":[36],"an":[38],"HDR":[39,57,75,135,161],"image":[40,76],"and":[41],"its":[42],"LDR":[43,62,168],"tone":[44],"mapped":[45],"version,":[46],"we":[47],"derived":[48,110],"equations":[49,108],"predicting":[51],"chromatic":[53],"components":[54,164],"layer":[58,162],"given":[59],"decoded":[61],"Two":[64],"representations":[66],"are":[67,109],"studied.":[68],"In":[69,84,103,142],"first":[71],"encoding":[72],"scheme,":[73],"is":[77,89],"represented":[78],"in":[79,138],"classical":[81],"Y'CbCr":[82],"format.":[83],"addition,":[85,143],"second":[87],"scheme":[88,146],"proposed":[90],"using":[91,126,147],"colorspace":[93,130],"based":[94,111],"CIE":[97,128],"u'v'":[98,163,170],"uniform":[99],"chromaticity":[100],"scale":[101],"diagram.":[102],"each":[104,173],"case,":[105],"different":[106],"model":[115],"ensuring":[116],"preservation.":[119],"Our":[120],"experiments":[121],"highlight":[122],"several":[123],"advantages":[124],"u'v'-based":[129],"compression":[133],"content,":[136],"especially":[137],"context.":[141],"our":[144],"ILP":[145,155],"this":[148],"representation":[150],"improves":[151],"state-of-the-art":[154],"method,":[156],"which":[157],"directly":[158],"predicts":[159],"by":[165],"computing":[166],"layers":[169],"values":[171],"pixel.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}