{"id":"https://openalex.org/W2777479863","doi":"https://doi.org/10.1007/s11263-017-1056-0","title":"RAW Image Reconstruction Using a Self-contained sRGB\u2013JPEG Image with Small Memory Overhead","display_name":"RAW Image Reconstruction Using a Self-contained sRGB\u2013JPEG Image with Small Memory Overhead","publication_year":2017,"publication_date":"2017-12-18","ids":{"openalex":"https://openalex.org/W2777479863","doi":"https://doi.org/10.1007/s11263-017-1056-0","mag":"2777479863","pmid":"https://pubmed.ncbi.nlm.nih.gov/31258243"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-017-1056-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-017-1056-0","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s11263-017-1056-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086226516","display_name":"Rang Nguyen","orcid":"https://orcid.org/0000-0001-7754-5576"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rang M. H. Nguyen","raw_affiliation_strings":["1School of Computing, National University of Singapore, Singapore, Singapore","School of Computing, National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":[]},{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106406020","display_name":"Michael S. Brown","orcid":"https://orcid.org/0000-0002-9840-0795"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Michael S. Brown","raw_affiliation_strings":["2Lassonde School of Engineering, York University, Toronto, Canada","Lassonde School of Engineering, York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Lassonde School of Engineering, York University, Toronto, Canada","institution_ids":[]},{"raw_affiliation_string":"Lassonde School of Engineering, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106406020"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.6314,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.7899186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"126","issue":"6","first_page":"637","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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":0.9962999820709229,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9958999752998352,"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/jpeg","display_name":"JPEG","score":0.8002601861953735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827255725860596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7419772148132324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7279797792434692},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6476123332977295},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4228667616844177},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4102901220321655},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33586883544921875},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.32748177647590637},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26341623067855835}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8002601861953735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827255725860596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7419772148132324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7279797792434692},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6476123332977295},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4228667616844177},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4102901220321655},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33586883544921875},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.32748177647590637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26341623067855835}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11263-017-1056-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-017-1056-0","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmid:31258243","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31258243","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer vision","raw_type":null},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/175112","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/175112","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Unpaywall 20200831","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6560817","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6560817","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Vis","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11263-017-1056-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-017-1056-0","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W18175933","https://openalex.org/W109683945","https://openalex.org/W1552869711","https://openalex.org/W1983338427","https://openalex.org/W2031953727","https://openalex.org/W2040057137","https://openalex.org/W2044011870","https://openalex.org/W2044713151","https://openalex.org/W2055745001","https://openalex.org/W2061398022","https://openalex.org/W2069281566","https://openalex.org/W2080503091","https://openalex.org/W2088828956","https://openalex.org/W2093580403","https://openalex.org/W2099244020","https://openalex.org/W2104600947","https://openalex.org/W2110288559","https://openalex.org/W2121203842","https://openalex.org/W2124545674","https://openalex.org/W2127701282","https://openalex.org/W2130700878","https://openalex.org/W2131349449","https://openalex.org/W2143736264","https://openalex.org/W2147298660","https://openalex.org/W2149760002","https://openalex.org/W2153388956","https://openalex.org/W2163935418","https://openalex.org/W2469102383","https://openalex.org/W2534320940","https://openalex.org/W2556872594","https://openalex.org/W2615423364","https://openalex.org/W2777479863","https://openalex.org/W3137074406","https://openalex.org/W3177525997","https://openalex.org/W4241716071","https://openalex.org/W6604412399","https://openalex.org/W7053159944"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2134324324","https://openalex.org/W2120205576","https://openalex.org/W3089411267","https://openalex.org/W1986138551","https://openalex.org/W2216907995","https://openalex.org/W2350512350","https://openalex.org/W2086128134","https://openalex.org/W2737324262","https://openalex.org/W4232181946"],"abstract_inverted_index":{"Most":[0],"camera":[1],"images":[2,40],"are":[3,99],"saved":[4],"as":[5,67],"8-bit":[6],"standard":[7],"RGB":[8,74],"(sRGB)":[9],"compressed":[10],"JPEGs.":[11],"Even":[12],"when":[13,190],"JPEG":[14],"compression":[15],"is":[16,65,77,90,165],"set":[17],"to":[18,81,114,123,145],"its":[19,201],"highest":[20],"quality,":[21],"the":[22,61,116,135,142,155],"encoded":[23],"sRGB":[24],"image":[25,63,75,122,182,185],"has":[26],"been":[27],"significantly":[28],"processed":[29],"in":[30],"terms":[31],"of":[32,96,134],"color":[33],"and":[34,55,98,139,199],"tone":[35],"manipulation.":[36],"This":[37],"makes":[38],"sRGB-JPEG":[39,121,171],"undesirable":[41],"for":[42,154],"many":[43,103],"computer":[44],"vision":[45],"tasks":[46],"that":[47,76,91,173],"assume":[48],"a":[49,70,112,125,150,166],"direct":[50],"relationship":[51],"between":[52],"pixel":[53],"values":[54],"incoming":[56],"light.":[57],"For":[58],"such":[59],"applications,":[60],"RAW":[62,68,87,127,144,184],"format":[64],"preferred,":[66],"represents":[69],"minimally":[71],"processed,":[72],"sensor-specific":[73],"linear":[78],"with":[79,86,149],"respect":[80],"scene":[82],"radiance.":[83],"The":[84],"drawback":[85],"images,":[88],"however,":[89],"they":[92],"require":[93],"large":[94],"amounts":[95],"storage":[97],"not":[100,178],"well-supported":[101],"by":[102],"imaging":[104],"applications.":[105],"To":[106],"address":[107],"this":[108],"issue,":[109],"we":[110],"present":[111],"method":[113],"encode":[115],"necessary":[117],"data":[118,157,186],"within":[119,146],"an":[120],"reconstruct":[124,141],"high-quality":[126],"image.":[128],"Our":[129],"approach":[130,198],"requires":[131],"no":[132],"calibration":[133],"camera's":[136],"colorimetric":[137],"properties":[138],"can":[140,174,187],"original":[143],"0.5%":[147],"error":[148],"small":[151],"memory":[152],"overhead":[153],"additional":[156],"(e.g.,":[158],"128":[159],"KB).":[160],"More":[161],"importantly,":[162],"our":[163,197],"output":[164],"fully":[167],"self-contained":[168],"100%":[169],"compliant":[170],"file":[172],"be":[175,188],"used":[176],"as-is,":[177],"affecting":[179],"any":[180],"existing":[181],"workflow-the":[183],"extracted":[189],"needed,":[191],"or":[192],"ignored":[193],"otherwise.":[194],"We":[195],"detail":[196],"show":[200],"effectiveness":[202],"against":[203],"competing":[204],"strategies.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}