{"id":"https://openalex.org/W2086939240","doi":"https://doi.org/10.1117/12.2083399","title":"Forward and backward tone mapping of high dynamic range images based on subband architecture","display_name":"Forward and backward tone mapping of high dynamic range images based on subband architecture","publication_year":2015,"publication_date":"2015-02-08","ids":{"openalex":"https://openalex.org/W2086939240","doi":"https://doi.org/10.1117/12.2083399","mag":"2086939240"},"language":"en","primary_location":{"id":"doi:10.1117/12.2083399","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083399","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/A5076024730","display_name":"Ines Bouzidi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ines Bouzidi","raw_affiliation_strings":["National Engineering School of Tunis (Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Tunis (Tunisia)","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037872098","display_name":"Azza Ouled Zaid","orcid":"https://orcid.org/0000-0002-3264-5933"},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Azza Ouled Zaid","raw_affiliation_strings":["National Engineering School of Tunis (Tunisia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Tunis (Tunisia)","institution_ids":["https://openalex.org/I4210131288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131288"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9396","issue":null,"first_page":"939605","last_page":"939605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.9403705596923828},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.8337424993515015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436084508895874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6347790360450745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6155650615692139},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.6091398000717163},{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.5617494583129883},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5513901710510254},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5338085293769836},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5044304132461548},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4930393397808075},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4358159303665161}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.9403705596923828},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.8337424993515015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436084508895874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6347790360450745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6155650615692139},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.6091398000717163},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.5617494583129883},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5513901710510254},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5338085293769836},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5044304132461548},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4930393397808075},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4358159303665161}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2083399","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2083399","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":[{"id":"https://metadata.un.org/sdg/11","score":0.699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1505723240","https://openalex.org/W1593810995","https://openalex.org/W1976478698","https://openalex.org/W2045622401","https://openalex.org/W2061818168","https://openalex.org/W2088253945","https://openalex.org/W2102993377","https://openalex.org/W2119565138","https://openalex.org/W2138313856","https://openalex.org/W2156566307","https://openalex.org/W2164716550","https://openalex.org/W2170288257","https://openalex.org/W2171125155","https://openalex.org/W2237445422","https://openalex.org/W2242047952","https://openalex.org/W2244684328","https://openalex.org/W4231220622","https://openalex.org/W4235994577","https://openalex.org/W4238603956","https://openalex.org/W4240002672","https://openalex.org/W4387434479","https://openalex.org/W6661891271","https://openalex.org/W6690054212","https://openalex.org/W6690604324","https://openalex.org/W6690885645"],"related_works":["https://openalex.org/W2014689642","https://openalex.org/W2884377208","https://openalex.org/W1978234925","https://openalex.org/W2998409557","https://openalex.org/W1965307097","https://openalex.org/W4243134350","https://openalex.org/W2162796060","https://openalex.org/W1939253538","https://openalex.org/W2943585339","https://openalex.org/W2737661967"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,71],"novel":[4],"High":[5],"Dynamic":[6,38],"Range":[7,39],"(HDR)":[8],"tone":[9],"mapping":[10],"(TM)":[11],"system":[12,32],"based":[13],"on":[14],"sub-band":[15,91],"architecture.":[16,92],"Standard":[17],"wavelet":[18],"filters":[19],"of":[20,36,95,153],"Daubechies,":[21],"Symlets,":[22],"Coiflets":[23],"and":[24,43,130,156,162],"Biorthogonal":[25],"were":[26],"used":[27],"to":[28,105,119],"estimate":[29],"the":[30,51,84,89,97,100,121,127],"proposed":[31],"performance":[33],"in":[34,57,110,133,151],"terms":[35,152],"Low":[37],"(LDR)":[40],"image":[41,46,53,86],"quality":[42,155],"reconstructed":[44],"HDR":[45,52,107,136,157],"fidelity.":[47],"During":[48],"TM":[49,112],"stage,":[50],"is":[54,81,103],"firstly":[55],"decomposed":[56],"sub-bands":[58],"using":[59,70,160],"symmetrical":[60],"analysis-synthesis":[61],"filter":[62],"bank.":[63],"The":[64,75],"transform":[65],"coefficients":[66],"are":[67],"then":[68],"rescaled":[69],"predefined":[72],"gain":[73,122],"map.":[74],"inverse":[76],"Tone":[77],"Mapping":[78],"(iTM)":[79],"stage":[80],"straightforward.":[82],"Indeed,":[83],"LDR":[85,101],"passes":[87],"through":[88],"same":[90],"But,":[93],"instead":[94],"reducing":[96],"dynamic":[98],"range,":[99],"content":[102],"boosted":[104],"an":[106,116],"representation.":[108],"Moreover,":[109],"our":[111,146],"sheme,":[113],"we":[114],"included":[115],"optimization":[117],"module":[118],"select":[120],"map":[123],"components":[124],"that":[125,145],"minimize":[126],"reconstruction":[128,158],"error,":[129],"consequently":[131],"resulting":[132],"high":[134],"fidelity":[135,159],"content.":[137],"Comparisons":[138],"with":[139],"recent":[140],"state-of-the-art":[141],"methods":[142],"have":[143],"shown":[144],"method":[147],"provides":[148],"better":[149],"results":[150],"visual":[154],"objective":[161],"subjective":[163],"evaluations.":[164]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
