{"id":"https://openalex.org/W2293876531","doi":"https://doi.org/10.1109/tip.2015.2436340","title":"High Dynamic Range Image Compression by Optimizing Tone Mapped Image Quality Index","display_name":"High Dynamic Range Image Compression by Optimizing Tone Mapped Image Quality Index","publication_year":2015,"publication_date":"2015-05-21","ids":{"openalex":"https://openalex.org/W2293876531","doi":"https://doi.org/10.1109/tip.2015.2436340","mag":"2293876531","pmid":"https://pubmed.ncbi.nlm.nih.gov/26011881"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2436340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2436340","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020029652","display_name":"Kede Ma","orcid":"https://orcid.org/0000-0001-8608-1128"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kede Ma","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada. k29ma@uwaterloo.ca","Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada. k29ma@uwaterloo.ca","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009788474","display_name":"Hojatollah Yeganeh","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hojatollah Yeganeh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078480632","display_name":"Kai Zeng","orcid":"https://orcid.org/0000-0003-3279-0695"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kai Zeng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420313","display_name":"Zhou Wang","orcid":"https://orcid.org/0000-0003-4413-4441"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhou Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":13.0362,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.99146771,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"24","issue":"10","first_page":"3086","last_page":"3097"},"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/T11165","display_name":"Image and Video Quality Assessment","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/T11666","display_name":"Color Science and Applications","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.895920991897583},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.698413610458374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967798471450806},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6704024076461792},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.6676322221755981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703210234642029},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5243863463401794},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5208066701889038},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5032152533531189},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49500077962875366},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.42478710412979126},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.418265700340271},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.4143502712249756},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28693705797195435}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.895920991897583},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.698413610458374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967798471450806},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6704024076461792},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.6676322221755981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703210234642029},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5243863463401794},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5208066701889038},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5032152533531189},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49500077962875366},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.42478710412979126},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.418265700340271},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4143502712249756},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28693705797195435},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":3,"locations":[{"id":"doi:10.1109/tip.2015.2436340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2436340","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:26011881","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26011881","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:CiteSeerX.psu:10.1.1.709.8542","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.8542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ece.uwaterloo.ca/%7Ek29ma/papers/TMQI-II_Opt_2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1505723240","https://openalex.org/W1568014703","https://openalex.org/W1622427076","https://openalex.org/W1973207880","https://openalex.org/W1976478698","https://openalex.org/W2007932953","https://openalex.org/W2008866578","https://openalex.org/W2025134675","https://openalex.org/W2025409544","https://openalex.org/W2027262223","https://openalex.org/W2048881835","https://openalex.org/W2061818168","https://openalex.org/W2092409645","https://openalex.org/W2092747326","https://openalex.org/W2100162204","https://openalex.org/W2102525821","https://openalex.org/W2106326960","https://openalex.org/W2123293628","https://openalex.org/W2123462437","https://openalex.org/W2126226185","https://openalex.org/W2126542585","https://openalex.org/W2133665775","https://openalex.org/W2154749352","https://openalex.org/W2159269332","https://openalex.org/W2170062168","https://openalex.org/W2170288257","https://openalex.org/W2296319761","https://openalex.org/W2752128027","https://openalex.org/W2971346122","https://openalex.org/W2998514558","https://openalex.org/W2999388423","https://openalex.org/W4250589301","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W2028994033","https://openalex.org/W1939253538","https://openalex.org/W1993867686","https://openalex.org/W2162796060","https://openalex.org/W2063779402","https://openalex.org/W2065738242","https://openalex.org/W2008321379"],"abstract_inverted_index":{"Tone":[0],"mapping":[1,90],"operators":[2],"(TMOs)":[3],"aim":[4],"to":[5,12,20,77,134],"compress":[6],"high":[7],"dynamic":[8,14],"range":[9,15],"(HDR)":[10],"images":[11,23,172,177],"low":[13],"(LDR)":[16],"ones":[17],"so":[18],"as":[19,92],"visualize":[21],"HDR":[22],"on":[24,32,62],"standard":[25],"displays.":[26],"Most":[27],"existing":[28],"TMOs":[29],"were":[30],"demonstrated":[31],"specific":[33],"examples":[34],"without":[35],"being":[36],"thoroughly":[37],"evaluated":[38],"using":[39,82],"well-designed":[40],"and":[41,130,150,158],"subject-validated":[42],"image":[43,52,94,112],"quality":[44,53,64,169],"assessment":[45,65],"models.":[46],"A":[47],"recently":[48],"proposed":[49,164],"tone":[50,67,89,170],"mapped":[51,68,171],"index":[54],"(TMQI)":[55],"made":[56],"one":[57],"of":[58,66,81,106,153,178,195],"the":[59,104,111,123,147,154,163,175,179,184,193],"first":[60,121],"attempts":[61],"objective":[63],"images.":[69],"Here,":[70],"we":[71,100,120],"propose":[72,140],"a":[73,135],"substantially":[74],"different":[75],"approach":[76],"design":[78],"TMO.":[79],"Instead":[80],"any":[83],"predefined":[84],"systematic":[85],"computational":[86],"structure":[87],"for":[88,110],"(such":[91],"analytic":[93],"transformations":[95],"and/or":[96],"explicit":[97],"contrast/edge":[98],"enhancement),":[99],"directly":[101],"navigate":[102],"in":[103,127],"space":[105],"all":[107],"images,":[108],"searching":[109],"that":[113,144,162],"optimizes":[114],"an":[115,141],"improved":[116],"TMQI.":[117,198],"In":[118],"particular,":[119],"improve":[122],"two":[124],"building":[125],"blocks":[126],"TMQI\u2014structural":[128],"fidelity":[129,149],"statistical":[131,151],"naturalness":[132,152],"components\u2014leading":[133],"TMQI-II":[136,196],"metric.":[137],"We":[138],"then":[139],"iterative":[142],"algorithm":[143,165],"alternatively":[145],"improves":[146],"structural":[148],"resulting":[155],"image.":[156],"Numerical":[157],"subjective":[159],"experiments":[160],"demonstrate":[161],"consistently":[166],"produces":[167],"better":[168],"even":[173],"when":[174],"initial":[176],"iteration":[180],"are":[181],"created":[182],"by":[183],"most":[185],"competitive":[186],"TMOs.":[187],"Meanwhile,":[188],"these":[189],"results":[190],"also":[191],"validate":[192],"superiority":[194],"over":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
