{"id":"https://openalex.org/W4396817377","doi":"https://doi.org/10.1109/tbc.2024.3394297","title":"Removing Banding Artifacts in HDR Videos Generated From Inverse Tone Mapping","display_name":"Removing Banding Artifacts in HDR Videos Generated From Inverse Tone Mapping","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4396817377","doi":"https://doi.org/10.1109/tbc.2024.3394297"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2024.3394297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2024.3394297","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"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 Broadcasting","raw_type":"journal-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/A5090831580","display_name":"Fei Zhou","orcid":"https://orcid.org/0000-0003-1216-2181"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhou","raw_affiliation_strings":["College of Electronic and Information Engineering and the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","Afirstsoft Technology Group Company Ltd, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1216-2181","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering and the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Afirstsoft Technology Group Company Ltd, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034251509","display_name":"Zikang Zheng","orcid":"https://orcid.org/0000-0001-7929-0941"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Zheng","raw_affiliation_strings":["College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China","SZU-AFS Joint Innovation Center for Artificial Intelligence Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7929-0941","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"SZU-AFS Joint Innovation Center for Artificial Intelligence Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["College of Electronic and Information Engineering and the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen, China","School of Computer Science, University of Nottingham, Nottingham, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5877-5648","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering and the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, U.K","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6572632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"70","issue":"2","first_page":"753","last_page":"762"},"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/T11666","display_name":"Color Science and Applications","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9860000014305115,"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":0.8742601871490479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726348638534546},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7585588097572327},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.621751070022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6128137111663818},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.593298614025116},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.5444527864456177},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5332189798355103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5010979175567627},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.47755274176597595},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.449439138174057},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4300919473171234},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.428458034992218},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.42045828700065613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537488579750061},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12119266390800476},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11276707053184509}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.8742601871490479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726348638534546},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7585588097572327},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.621751070022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6128137111663818},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.593298614025116},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.5444527864456177},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5332189798355103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5010979175567627},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.47755274176597595},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.449439138174057},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4300919473171234},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.428458034992218},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42045828700065613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537488579750061},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12119266390800476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11276707053184509},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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:10.1109/tbc.2024.3394297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2024.3394297","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"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 Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4623173173","display_name":null,"funder_award_id":"62271323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4978424058","display_name":null,"funder_award_id":"JCYJ20220531102408020","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G5392543476","display_name":null,"funder_award_id":"2023A1515012956","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5430980299","display_name":null,"funder_award_id":"U22B2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7058737390","display_name":null,"funder_award_id":"KJZD20230923114209019","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G7629561560","display_name":null,"funder_award_id":"2023B1212060076","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1805808085","https://openalex.org/W1978234925","https://openalex.org/W1998371349","https://openalex.org/W2063069461","https://openalex.org/W2099244020","https://openalex.org/W2128444614","https://openalex.org/W2133665775","https://openalex.org/W2150560898","https://openalex.org/W2302255633","https://openalex.org/W2484410333","https://openalex.org/W2510403731","https://openalex.org/W2766344780","https://openalex.org/W2779274704","https://openalex.org/W2789766563","https://openalex.org/W2909723044","https://openalex.org/W2947013223","https://openalex.org/W2957129812","https://openalex.org/W2963200935","https://openalex.org/W2983118621","https://openalex.org/W2996333484","https://openalex.org/W2998334235","https://openalex.org/W3048154918","https://openalex.org/W3088230179","https://openalex.org/W3100403837","https://openalex.org/W3137669589","https://openalex.org/W3139527458","https://openalex.org/W3183747884","https://openalex.org/W3185070214","https://openalex.org/W4213125210","https://openalex.org/W4214762230","https://openalex.org/W4283735400","https://openalex.org/W4285604323","https://openalex.org/W4293428390","https://openalex.org/W4308235902","https://openalex.org/W4386075556","https://openalex.org/W4388193691","https://openalex.org/W4391965604","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6737494929"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W1939253538","https://openalex.org/W2008321379","https://openalex.org/W2162796060","https://openalex.org/W2028994033","https://openalex.org/W2011744347","https://openalex.org/W2808832379","https://openalex.org/W2737661967"],"abstract_inverted_index":{"Displaying":[0],"standard":[1],"dynamic":[2,8],"range":[3,9],"(SDR)":[4],"videos":[5,36],"on":[6,38],"high":[7],"(HDR)":[10],"devices":[11],"requires":[12],"inverse":[13],"tone":[14,33],"mapping":[15,19],"(ITM).":[16],"However,":[17],"such":[18],"can":[20,107],"introduce":[21],"banding":[22,28,48,76],"artifacts.":[23],"This":[24],"paper":[25],"presents":[26],"a":[27,61,64,69,112],"removal":[29],"method":[30,101,126],"for":[31,94,116],"inversely":[32],"mapped":[34],"HDR":[35,119],"based":[37],"deep":[39],"convolutional":[40],"neural":[41],"networks":[42],"(DCNNs)":[43],"and":[44,55,63,82,131],"adaptive":[45,105],"filtering.":[46],"Three":[47],"relevant":[49],"feature":[50],"maps":[51],"are":[52],"first":[53],"extracted":[54],"then":[56],"fed":[57],"to":[58,79],"two":[59],"DCNNs,":[60],"ShapeNet":[62,88],"PositionNet.":[65],"The":[66],"PositionNet":[67],"learns":[68],"soft":[70],"mask":[71],"indicating":[72],"the":[73,87,90,100,104],"locations":[74],"where":[75],"is":[77,84,102],"likely":[78],"have":[80],"occurred":[81],"filtering":[83],"required":[85],"while":[86],"predicts":[89],"filter":[91],"shapes":[92],"appropriate":[93],"different":[95],"locations.":[96],"An":[97],"advantage":[98],"of":[99],"that":[103,124],"filters":[106],"be":[108],"jointly":[109],"optimized":[110],"with":[111],"learning-based":[113],"ITM":[114],"algorithm":[115],"creating":[117],"high-quality":[118],"videos.":[120],"Experimental":[121],"results":[122],"show":[123],"our":[125],"outperforms":[127],"state-of-the-art":[128],"algorithms":[129],"qualitatively":[130],"quantitatively.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
