{"id":"https://openalex.org/W2527361492","doi":"https://doi.org/10.1109/dmiaf.2016.7574894","title":"Lossy compression of natural HDR content based on multi-component Transform optimization","display_name":"Lossy compression of natural HDR content based on multi-component Transform optimization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2527361492","doi":"https://doi.org/10.1109/dmiaf.2016.7574894","mag":"2527361492"},"language":"en","primary_location":{"id":"doi:10.1109/dmiaf.2016.7574894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmiaf.2016.7574894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Digital Media Industry & Academic Forum (DMIAF)","raw_type":"proceedings-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/A5041862976","display_name":"Miguel Hern\u00e1ndez-Cabronero","orcid":"https://orcid.org/0000-0001-9301-4337"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Miguel Hernandez-Cabronero","raw_affiliation_strings":["University of Warwick, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Warwick, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["University of Warwick, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Warwick, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021537930","display_name":"Francesc Aul\u00ed-Llin\u00e0s","orcid":"https://orcid.org/0000-0002-3208-9957"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francesc Auli-Llinas","raw_affiliation_strings":["Universitat Aut\u00f2noma de Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Aut\u00f2noma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048546942","display_name":"Joan Serra-Sagrist\u00e0","orcid":"https://orcid.org/0000-0003-4729-9292"},"institutions":[{"id":"https://openalex.org/I123044942","display_name":"Universitat Aut\u00f2noma de Barcelona","ror":"https://ror.org/052g8jq94","country_code":"ES","type":"education","lineage":["https://openalex.org/I123044942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Serra-Sagrista","raw_affiliation_strings":["Universitat Aut\u00f2noma de Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Universitat Aut\u00f2noma de Barcelona, Spain","institution_ids":["https://openalex.org/I123044942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041862976"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09921171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":null,"first_page":"23","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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":0.9998000264167786,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.6446601748466492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6028139591217041},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5762064456939697},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5374380350112915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5230917930603027},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5206621885299683},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.4896467328071594},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4893907904624939},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.48661646246910095},{"id":"https://openalex.org/keywords/gamut","display_name":"Gamut","score":0.45198383927345276},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.27538180351257324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22791844606399536},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.16709506511688232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446601748466492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028139591217041},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5762064456939697},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5374380350112915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5230917930603027},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5206621885299683},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.4896467328071594},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4893907904624939},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.48661646246910095},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.45198383927345276},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.27538180351257324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22791844606399536},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.16709506511688232},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dmiaf.2016.7574894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dmiaf.2016.7574894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Digital Media Industry & Academic Forum (DMIAF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1966615855","https://openalex.org/W2007207888","https://openalex.org/W2009420074","https://openalex.org/W2028199296","https://openalex.org/W2040968646","https://openalex.org/W2042340641","https://openalex.org/W2044028958","https://openalex.org/W2068394301","https://openalex.org/W2095792334","https://openalex.org/W2117355005","https://openalex.org/W2118136088","https://openalex.org/W2118217749","https://openalex.org/W2142145778","https://openalex.org/W2144018680","https://openalex.org/W2148436329","https://openalex.org/W2158201077","https://openalex.org/W2166816543","https://openalex.org/W2168414623","https://openalex.org/W2275787811","https://openalex.org/W2489103595","https://openalex.org/W2560990169","https://openalex.org/W3138218344","https://openalex.org/W4301909677","https://openalex.org/W4302366751","https://openalex.org/W6652464903","https://openalex.org/W6730686534"],"related_works":["https://openalex.org/W2973199290","https://openalex.org/W2903809284","https://openalex.org/W3033884118","https://openalex.org/W2318442036","https://openalex.org/W3092138191","https://openalex.org/W3006819602","https://openalex.org/W2328736027","https://openalex.org/W3157016129","https://openalex.org/W4319599328","https://openalex.org/W2977050028"],"abstract_inverted_index":{"Linear":[0],"multi-component":[1],"transforms":[2,38],"(MCTs)":[3],"are":[4,28],"commonly":[5],"employed":[6],"for":[7,12,32,96,113,142],"enhancing":[8],"the":[9,13,23,41,46,56,69,74,86,90,125,140],"coding":[10,70,92],"performance":[11,112],"compression":[14],"of":[15,68,116,139],"natural":[16],"color":[17,151],"images.":[18,100],"Popular":[19],"MCTs":[20,83,127],"such":[21,39],"as":[22,40],"RGB":[24],"to":[25,73,106],"Y'CbCr":[26],"transform":[27],"not":[29,64],"optimized":[30,82,126],"specifically":[31],"any":[33],"given":[34],"input":[35,87],"image.":[36],"Data-dependent":[37],"Karhunen-Lo\u00e8ve":[42],"Transform":[43,49],"(KLT)":[44],"or":[45,59],"Optimal":[47],"Spectral":[48],"(OST)":[50],"optimize":[51],"some":[52],"analytical":[53],"criteria":[54],"(e.g.,":[55],"inter-component":[57],"correlation":[58],"mutual":[60],"information),":[61],"but":[62],"do":[63],"consider":[65],"all":[66],"aspects":[67],"system":[71,93],"applied":[72],"transformed":[75],"components.":[76],"Recently,":[77],"a":[78],"framework":[79,105],"that":[80,124],"produces":[81],"dependent":[84],"on":[85],"image":[88],"and":[89,109,134,150],"subsequent":[91],"was":[94],"proposed":[95],"8-bit":[97],"pathology":[98],"whole-slide":[99],"This":[101],"work":[102],"extends":[103],"this":[104],"higher":[107,136],"bitdepths":[108],"investigate":[110],"its":[111],"different":[114],"types":[115],"high-dynamic":[117],"range":[118],"(HDR)":[119],"contents.":[120],"Experimental":[121],"results":[122,131],"indicate":[123],"yield":[128],"average":[129],"PSNR":[130],"0.17%,":[132],"0.47%":[133],"0.63%":[135],"than":[137],"those":[138],"KLT":[141],"raw":[143],"mosaic":[144],"images,":[145],"reconstructed":[146],"HDR":[147,153],"radiance":[148],"scenes":[149],"graded":[152],"contents,":[154],"respectively.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}