{"id":"https://openalex.org/W4416798659","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249140","title":"Lossless Image Processing for OpenEXR Images with Flexible Functions","display_name":"Lossless Image Processing for OpenEXR Images with Flexible Functions","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W4416798659","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249140"},"language":null,"primary_location":{"id":"doi:10.1109/apsipaasc65261.2025.11249140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":null,"display_name":"Anna Yamaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Anna Yamaguchi","raw_affiliation_strings":["Chiba University,Chiba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University,Chiba,Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070209552","display_name":"Shoko Imaizumi","orcid":"https://orcid.org/0000-0001-6515-9109"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoko Imaizumi","raw_affiliation_strings":["Chiba University,Chiba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba University,Chiba,Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42933494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2164","last_page":"2169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.6071000099182129,"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":0.6071000099182129,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0649000033736229,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.05550000071525574,"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/image-processing","display_name":"Image processing","score":0.7833999991416931},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5843999981880188},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5740000009536743},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.551800012588501},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5120000243186951},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5005000233650208},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.4438000023365021},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.39500001072883606},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3921000063419342}],"concepts":[{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.7833999991416931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6650999784469604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345999836921692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863999724388123},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5740000009536743},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.4438000023365021},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3752000033855438},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.364300012588501},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33009999990463257},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3199000060558319},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.29739999771118164},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.29739999771118164},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2711000144481659},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2676999866962433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26739999651908875},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.25920000672340393},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.2567000091075897},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc65261.2025.11249140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":10,"referenced_works":["https://openalex.org/W756028442","https://openalex.org/W1974641035","https://openalex.org/W1981454723","https://openalex.org/W2344601572","https://openalex.org/W2774059843","https://openalex.org/W2973667752","https://openalex.org/W4210526437","https://openalex.org/W4285244221","https://openalex.org/W4320493567","https://openalex.org/W4393142275"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,59],"propose":[4],"a":[5,134],"reversible":[6,158],"image":[7,98,114,160],"processing":[8,77,115,123,132,161],"method":[9,29,42,108],"for":[10,47],"high":[11],"dynamic":[12],"range":[13],"(HDR)":[14],"images,":[15],"especially":[16],"in":[17,53,65,78,101],"OpenEXR":[18,21,51],"format":[19,67],"(hereafter,":[20],"images).":[22],"To":[23],"our":[24],"best":[25],"knowledge,":[26],"the":[27,31,48,62,75,91,97,104,138,151,156],"proposed":[28,41,157],"is":[30,86,94],"first":[32,60],"to":[33,35,55,68,89],"aim":[34],"reversibly":[36],"process":[37],"HDR":[38,159],"images.":[39],"The":[40],"has":[43,109],"been":[44],"designed":[45],"accounting":[46],"structure":[49],"of":[50,103,113,122,131,155],"images":[52],"order":[54],"ensure":[56],"reversibility.":[57],"Thus,":[58],"convert":[61],"pixel":[63],"values":[64],"floating-point":[66],"signed":[69,79],"integers":[70],"and":[71,119,153],"then":[72],"carry":[73],"out":[74],"respective":[76],"integer":[80],"format.":[81],"Additionally,":[82],"restoration":[83,143],"data,":[84],"which":[85],"information":[87],"necessary":[88],"restore":[90],"original":[92],"form,":[93],"embedded":[95],"into":[96],"itself,":[99],"resulting":[100],"derivation":[102],"output":[105],"image.":[106],"Our":[107],"achieved":[110],"six":[111],"types":[112],"with":[116],"full":[117],"reversibility":[118],"flexible":[120],"control":[121],"intensity.":[124],"Experimental":[125],"results":[126],"demonstrate":[127],"that":[128],"each":[129],"type":[130],"yields":[133],"significant":[135],"effect,":[136],"while":[137],"artifacts":[139],"introduced":[140],"by":[141],"embedding":[142],"data":[144],"remain":[145],"visually":[146],"negligible.":[147],"These":[148],"findings":[149],"confirm":[150],"effectiveness":[152],"practicality":[154],"method.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-28T00:00:00"}