{"id":"https://openalex.org/W2997999116","doi":"https://doi.org/10.1109/ictc46691.2019.8939972","title":"Study on the Log-encoding System for a Camera Image Sensor","display_name":"Study on the Log-encoding System for a Camera Image Sensor","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997999116","doi":"https://doi.org/10.1109/ictc46691.2019.8939972","mag":"2997999116"},"language":"en","primary_location":{"id":"doi:10.1109/ictc46691.2019.8939972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5025219734","display_name":"Shantanu Sen Gupta","orcid":"https://orcid.org/0000-0003-0094-192X"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shantanu Sen Gupta","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062950533","display_name":"Partha Pratim Banik","orcid":"https://orcid.org/0000-0002-8388-7369"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Partha Pratim Banik","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025430220","display_name":"Ki\u2010Doo Kim","orcid":"https://orcid.org/0000-0001-5052-3844"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ki-Doo Kim","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15854945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1047","last_page":"1049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9783999919891357,"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":0.9783999919891357,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9688000082969666,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/gamut","display_name":"Gamut","score":0.7823944091796875},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.702723503112793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669791042804718},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5993099212646484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.564964771270752},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5595128536224365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5013763904571533},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5001952648162842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4818645417690277},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1083625853061676}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.7823944091796875},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.702723503112793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669791042804718},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5993099212646484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.564964771270752},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5595128536224365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013763904571533},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5001952648162842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4818645417690277},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1083625853061676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc46691.2019.8939972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","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":4,"referenced_works":["https://openalex.org/W147723833","https://openalex.org/W2328985584","https://openalex.org/W2510777936","https://openalex.org/W2550801499"],"related_works":["https://openalex.org/W1975324169","https://openalex.org/W2084765988","https://openalex.org/W4312764041","https://openalex.org/W2750875950","https://openalex.org/W2599346184","https://openalex.org/W1978099104","https://openalex.org/W4387817633","https://openalex.org/W3131929150","https://openalex.org/W44299752","https://openalex.org/W130269462"],"abstract_inverted_index":{"Modern":[0],"image":[1,74],"sensors":[2],"can":[3],"acquire":[4],"more":[5],"data":[6,46],"than":[7],"previous":[8],"due":[9],"to":[10,24,31,41],"increased":[11],"bit":[12,26],"depth.":[13,27],"But":[14],"storage":[15,65],"devices":[16,19],"and":[17,84,115],"display":[18],"do":[20],"not":[21],"support":[22],"up":[23],"that":[25],"Alongside":[28],"with":[29],"this,":[30],"produce":[32],"or":[33],"capture":[34],"HDR":[35],"images":[36,114],"it":[37,50],"is":[38],"also":[39],"important":[40],"preserve":[42],"the":[43,55,96],"sensor":[44],"native":[45],"as":[47,49,66,68],"much":[48],"can.":[51],"These":[52],"intentions":[53],"motivate":[54],"introduction":[56],"of":[57,112],"log-encoding":[58],"idea":[59],"in":[60,118],"imaging":[61],"devices.":[62],"Log-encoding":[63],"saves":[64],"well":[67],"keeps":[69],"roughly":[70],"exact":[71],"information":[72],"from":[73],"sensor.":[75],"Different":[76],"camera":[77],"manufacturing":[78],"companies":[79],"developed":[80,101],"their":[81,88],"own":[82],"log-curve":[83],"color":[85,116],"gamut":[86,117],"for":[87],"products.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"discuss":[94],"about":[95],"S-log":[97,107],"curve":[98,108],"which":[99],"was":[100],"by":[102],"Sony.":[103],"The":[104],"discussion":[105],"includes":[106],"types,":[109],"workflow,":[110],"example":[111],"output":[113],"brief.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}