{"id":"https://openalex.org/W2166569049","doi":"https://doi.org/10.1109/icassp.2007.366091","title":"Raw Image Encoding Based on Polynomial Approximation","display_name":"Raw Image Encoding Based on Polynomial Approximation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2166569049","doi":"https://doi.org/10.1109/icassp.2007.366091","mag":"2166569049"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2007.366091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5025207272","display_name":"Masahiro Okuda","orcid":"https://orcid.org/0000-0002-3245-2672"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"funder","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Okuda","raw_affiliation_strings":["Dpt. of Information and Media Sciences, The University of Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Dpt. of Information and Media Sciences, The University of Kitakyushu, Japan","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085695707","display_name":"Nicola Adami","orcid":"https://orcid.org/0000-0002-8879-9456"},"institutions":[{"id":"https://openalex.org/I30667456","display_name":"Brescia University","ror":"https://ror.org/015ahgd08","country_code":"US","type":"education","lineage":["https://openalex.org/I30667456"]},{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"funder","lineage":["https://openalex.org/I79940851"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Nicola Adami","raw_affiliation_strings":["Dpt. of Electronic for the Automation, University of Brescia"],"affiliations":[{"raw_affiliation_string":"Dpt. of Electronic for the Automation, University of Brescia","institution_ids":["https://openalex.org/I30667456","https://openalex.org/I79940851"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.443,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.297665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"1052"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9996,"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":0.9996,"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":0.9978,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9969,"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":0.707099},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.67426646}],"concepts":[{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.707099},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.69409895},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.67426646},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.63578993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.54478556},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5301624},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48842588},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47685254},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4750804},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4628332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45012426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42641234},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41928476},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.36749747},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28940487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25348586},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08275971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2007.366091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1481384265","https://openalex.org/W1517606245","https://openalex.org/W1828439344","https://openalex.org/W2031241038","https://openalex.org/W2044028958","https://openalex.org/W2091468804","https://openalex.org/W2096099694","https://openalex.org/W2126928567","https://openalex.org/W2142145778","https://openalex.org/W2911709767","https://openalex.org/W4239330022","https://openalex.org/W4244950182"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2737661967","https://openalex.org/W2410869481","https://openalex.org/W2162796060","https://openalex.org/W2065738242","https://openalex.org/W2063779402","https://openalex.org/W2028994033","https://openalex.org/W2014689642","https://openalex.org/W2008321379","https://openalex.org/W1939253538"],"abstract_inverted_index":{"In":[0,20],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,33],"coding":[6],"algorithm":[7],"for":[8],"raw":[9,53],"images":[10],"with":[11],"high":[12],"dynamic":[13,27],"ranges.":[14],"Our":[15],"encoder":[16],"has":[17],"two":[18],"layers.":[19],"the":[21,38,43,46,52,58],"first":[22],"layer,":[23],"24":[24,48],"bit":[25,49],"low":[26],"range":[28],"image":[29,40,50,54],"is":[30,55,65],"encoded":[31,56],"by":[32,68],"conventional":[34],"codec,":[35],"and":[36,51],"then":[37],"ratio":[39],"that":[41],"represents":[42],"difference":[44],"between":[45],"decoded":[47],"in":[57],"second":[59],"layer.":[60],"Experiments":[61],"shows":[62],"compression":[63],"efficiency":[64],"significantly":[66],"improved":[67],"taking":[69],"an":[70],"inverse":[71],"tone":[72],"mapping":[73],"into":[74],"account.":[75]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2166569049","counts_by_year":[],"updated_date":"2025-04-19T11:32:26.919046","created_date":"2016-06-24"}