{"id":"https://openalex.org/W2086226348","doi":"https://doi.org/10.1117/12.2000782","title":"Embedding high dynamic range tone mapping in JPEG compression","display_name":"Embedding high dynamic range tone mapping in JPEG compression","publication_year":2013,"publication_date":"2013-02-19","ids":{"openalex":"https://openalex.org/W2086226348","doi":"https://doi.org/10.1117/12.2000782","mag":"2086226348"},"language":"en","primary_location":{"id":"doi:10.1117/12.2000782","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2000782","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5100414731","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0003-3258-0380"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["The Univ. of Akron (United States)","The University of Akron (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Akron (United States)","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"The University of Akron (United States)","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109935042","display_name":"Firas Hassan","orcid":"https://orcid.org/0009-0001-0141-8121"},"institutions":[{"id":"https://openalex.org/I150722199","display_name":"Ohio Northern University","ror":"https://ror.org/052963a64","country_code":"US","type":"education","lineage":["https://openalex.org/I150722199","https://openalex.org/I4210162304"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Firas Hassan","raw_affiliation_strings":["Ohio Northern Univ. (United States)","Ohio Northern University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio Northern Univ. (United States)","institution_ids":["https://openalex.org/I150722199"]},{"raw_affiliation_string":"Ohio Northern University, United States","institution_ids":["https://openalex.org/I150722199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111739117","display_name":"Joan Carletta","orcid":null},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joan Carletta","raw_affiliation_strings":["The Univ. of Akron (United States)","The University of Akron (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Akron (United States)","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"The University of Akron (United States)","institution_ids":["https://openalex.org/I110152177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8312,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76194227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8655","issue":null,"first_page":"86550B","last_page":"86550B"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9948999881744385,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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":0.9162553548812866},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.781303882598877},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7025344371795654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807756423950195},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5860497951507568},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5728772282600403},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5268684029579163},{"id":"https://openalex.org/keywords/dynamic-range-compression","display_name":"Dynamic range compression","score":0.507513165473938},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5055694580078125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5024232864379883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4975614845752716},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4871044158935547},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.48008209466934204},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4764312207698822},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.46102768182754517},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4160976707935333},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.41275161504745483},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1835760474205017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17064398527145386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06461271643638611}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9162553548812866},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.781303882598877},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7025344371795654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807756423950195},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5860497951507568},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5728772282600403},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5268684029579163},{"id":"https://openalex.org/C150178126","wikidata":"https://www.wikidata.org/wiki/Q18433212","display_name":"Dynamic range compression","level":2,"score":0.507513165473938},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5055694580078125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5024232864379883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975614845752716},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4871044158935547},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.48008209466934204},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4764312207698822},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.46102768182754517},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4160976707935333},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.41275161504745483},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1835760474205017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17064398527145386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06461271643638611},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2000782","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2000782","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2998409557","https://openalex.org/W2275787811","https://openalex.org/W4243134350","https://openalex.org/W2014689642","https://openalex.org/W2737661967","https://openalex.org/W3201593917","https://openalex.org/W2091857689","https://openalex.org/W2775014046","https://openalex.org/W4388735888","https://openalex.org/W2295384204"],"abstract_inverted_index":{"A":[0],"method":[1,119],"that":[2,28,35,109,123],"integrates":[3],"tone":[4,19,71],"mapping":[5,20],"for":[6,38,101],"high":[7,57],"dynamic":[8,58],"range":[9,59],"(HDR)":[10],"gray-scale":[11],"images":[12,60,105,108],"with":[13,94,133],"JPEG":[14,40,136],"compression":[15,41],"is":[16,23,36,82,120],"proposed.":[17],"The":[18,114],"operator":[21],"(TMO)":[22],"block-based,":[24],"and":[25,73,129],"structured":[26],"so":[27],"the":[29,39,49,62,68,76,92,102,117],"same":[30],"discrete":[31],"cosine":[32],"transform":[33],"(DCT)":[34],"used":[37],"serves":[42],"to":[43,86,107],"complete":[44],"a":[45,134],"major":[46],"part":[47],"of":[48,78,89,98,116],"tone-mapping":[50],"operation.":[51],"Simulations":[52],"have":[53,110],"been":[54,111],"done":[55],"on":[56],"from":[61,84],"Debevec":[63],"library.":[64],"Experimental":[65],"results":[66],"show":[67],"technique":[69],"successfully":[70],"maps":[72],"compresses":[74],"simultaneously;":[75],"number":[77],"bits":[79],"per":[80],"pixel":[81],"reduced":[83],"32":[85],"an":[87,95,121],"average":[88,96],"0.67":[90],"by":[91],"compression,":[93],"PSNR":[97],"56.3":[99],"dB":[100],"compressed":[103],"tone-mapped":[104],"compared":[106],"only":[112,125],"tone-mapped.":[113],"output":[115],"proposed":[118],"image":[122],"requires":[124],"limited":[126],"storage":[127],"space,":[128],"can":[130],"be":[131],"decompressed":[132],"standard":[135],"decoder.":[137]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
