{"id":"https://openalex.org/W2971265931","doi":"https://doi.org/10.1109/icip.2019.8803475","title":"Two-Layer Near-Lossless HDR Coding with Backward Compatibility to JPEG","display_name":"Two-Layer Near-Lossless HDR Coding with Backward Compatibility to JPEG","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971265931","doi":"https://doi.org/10.1109/icip.2019.8803475","mag":"2971265931"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5101591671","display_name":"Hiroyuki Kobayashi","orcid":"https://orcid.org/0000-0003-1713-5318"},"institutions":[{"id":"https://openalex.org/I52706244","display_name":"College of Industrial Technology","ror":"https://ror.org/054a9s036","country_code":"JP","type":"education","lineage":["https://openalex.org/I52706244"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroyuki KOBAYASHI","raw_affiliation_strings":["Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I52706244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043771878","display_name":"Osamu Watanabe","orcid":"https://orcid.org/0000-0002-4040-7417"},"institutions":[{"id":"https://openalex.org/I7377986","display_name":"Takushoku University","ror":"https://ror.org/05qh38f12","country_code":"JP","type":"education","lineage":["https://openalex.org/I7377986"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu WATANABE","raw_affiliation_strings":["Takushoku University, Hachioji, Japan"],"affiliations":[{"raw_affiliation_string":"Takushoku University, Hachioji, Japan","institution_ids":["https://openalex.org/I7377986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015250468","display_name":"Hitoshi Kiya","orcid":"https://orcid.org/0000-0001-8061-3090"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi KIYA","raw_affiliation_strings":["Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101591671"],"corresponding_institution_ids":["https://openalex.org/I52706244"],"apc_list":null,"apc_paid":null,"fwci":0.7086,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75115009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2007","issue":null,"first_page":"3547","last_page":"3551"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9994999766349792,"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/lossless-jpeg","display_name":"Lossless JPEG","score":0.9019314050674438},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8127987384796143},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6598076820373535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810203552246094},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.5628838539123535},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5569100379943848},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5501077175140381},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.519369900226593},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5112099647521973},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5043963193893433},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.4789591133594513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4427701532840729},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.43942877650260925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4231828451156616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40618690848350525},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.39776545763015747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36413848400115967},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19448670744895935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0684596598148346}],"concepts":[{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.9019314050674438},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8127987384796143},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6598076820373535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810203552246094},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.5628838539123535},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5569100379943848},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5501077175140381},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.519369900226593},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5112099647521973},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5043963193893433},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.4789591133594513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4427701532840729},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.43942877650260925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4231828451156616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40618690848350525},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.39776545763015747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36413848400115967},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19448670744895935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0684596598148346}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":34,"referenced_works":["https://openalex.org/W1505723240","https://openalex.org/W1590589882","https://openalex.org/W1997746542","https://openalex.org/W2032005025","https://openalex.org/W2043231099","https://openalex.org/W2044028958","https://openalex.org/W2090925273","https://openalex.org/W2097529743","https://openalex.org/W2110188828","https://openalex.org/W2111323057","https://openalex.org/W2113704884","https://openalex.org/W2115297358","https://openalex.org/W2144362631","https://openalex.org/W2168611951","https://openalex.org/W2184159350","https://openalex.org/W2294495255","https://openalex.org/W2396233508","https://openalex.org/W2483871456","https://openalex.org/W2499293226","https://openalex.org/W2548956561","https://openalex.org/W2751521495","https://openalex.org/W2764133685","https://openalex.org/W2765095746","https://openalex.org/W2766193429","https://openalex.org/W2776324468","https://openalex.org/W2799370311","https://openalex.org/W2811446198","https://openalex.org/W3123618386","https://openalex.org/W4256291298","https://openalex.org/W4300142895","https://openalex.org/W6686231779","https://openalex.org/W6712543651","https://openalex.org/W6729346650","https://openalex.org/W6743433669"],"related_works":["https://openalex.org/W1579872668","https://openalex.org/W1499106570","https://openalex.org/W4312628177","https://openalex.org/W2136537500","https://openalex.org/W2129652681","https://openalex.org/W2148686647","https://openalex.org/W2375774096","https://openalex.org/W2348596154","https://openalex.org/W2167897635","https://openalex.org/W3011890121"],"abstract_inverted_index":{"We":[0,135],"propose":[1],"an":[2,9,141],"efficient":[3],"two-layer":[4,36,54,108,178],"near-lossless":[5,65,104,155,171],"coding":[6,37,55,89,109,156,179],"method":[7,38,110,165,180],"using":[8],"extended":[10],"histogram":[11,130],"packing":[12],"technique":[13,124,146],"with":[14,52,74,106],"backward":[15,40,199],"compatibility":[16,41,200],"to":[17,30,42,98,201],"the":[18,27,43,82,84,88,107,112,129,144,153,163,177,182,192,202],"legacy":[19,44],"JPEG":[20,23,45,113,183,203],"standard.":[21,46,204],"The":[22,77,158],"XT,":[24,184],"which":[25,139],"is":[26,58,80,140],"international":[28],"standard":[29],"compress":[31],"HDR":[32,71,133],"images,":[33],"adopts":[34],"a":[35,122,169],"for":[39,70,94,148,151],"However,":[47],"there":[48,187],"are":[49,188],"two":[50],"problems":[51],"this":[53],"method.":[56,157],"One":[57],"that":[59,81,125,162,175],"it":[60],"does":[61],"not":[62,167],"exhibit":[63],"better":[64,170],"performance":[66,102,173],"than":[67,174],"other":[68,78],"methods":[69],"image":[72,97],"compression":[73,101,105,172],"single-layer":[75],"structure.":[76],"problem":[79],"determining":[83],"appropriate":[85],"values":[86,196],"of":[87,103,111,132,143,176,181,194],"parameters":[90],"may":[91],"be":[92],"required":[93],"each":[95],"input":[96],"achieve":[99],"good":[100],"XT.":[114],"To":[115],"solve":[116],"these":[117],"problems,":[118],"we":[119],"focus":[120],"on":[121],"histogram-packing":[123,145],"takes":[126],"into":[127],"account":[128],"sparseness":[131],"images.":[134],"used":[136],"zero-skip":[137],"quantization,":[138],"extension":[142],"proposed":[147,154,164],"lossless":[149],"coding,":[150],"implementing":[152],"experimental":[159],"results":[160],"indicate":[161],"exhibits":[166],"only":[168],"but":[185],"also":[186],"no":[189],"issue":[190],"regarding":[191],"combination":[193],"parameter":[195],"without":[197],"losing":[198]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}