{"id":"https://openalex.org/W4377985929","doi":"https://doi.org/10.2352/cic.2015.23.1.art00039","title":"Performance Evaluation of JPEG, JPEG2000 and New CSI-JPEG Algorithms by Incorporating Different Color Spaces","display_name":"Performance Evaluation of JPEG, JPEG2000 and New CSI-JPEG Algorithms by Incorporating Different Color Spaces","publication_year":2015,"publication_date":"2015-10-18","ids":{"openalex":"https://openalex.org/W4377985929","doi":"https://doi.org/10.2352/cic.2015.23.1.art00039"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2015.23.1.art00039","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2015.23.1.art00039","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/23/1/art00039","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/23/1/art00039","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052351653","display_name":"Muhammad Safdar","orcid":"https://orcid.org/0000-0002-3449-4390"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Safdar","raw_affiliation_strings":["State Key Laboratory of Modern Optical Instrumentation , Zhejiang University , Hangzhou , China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Modern Optical Instrumentation , Zhejiang University , Hangzhou , China,","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"M. Ronnier Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"M. Ronnier Luo","raw_affiliation_strings":["School of Design , University of Leeds , Leeds , UK,","State Key Laboratory of Modern Optical Instrumentation , Zhejiang University , Hangzhou , China,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Design , University of Leeds , Leeds , UK,","institution_ids":["https://openalex.org/I130828816"]},{"raw_affiliation_string":"State Key Laboratory of Modern Optical Instrumentation , Zhejiang University , Hangzhou , China,","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045453458","display_name":"Xiaoyu Liu","orcid":"https://orcid.org/0000-0002-0005-5621"},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]},{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Liu","raw_affiliation_strings":["College of Science , Harbin Engineering University , Harbin , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science , Harbin Engineering University , Harbin , China","institution_ids":["https://openalex.org/I1308199089","https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1347,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52902326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"1","first_page":"219","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9071999788284302,"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-2000","display_name":"JPEG 2000","score":0.8328785300254822},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7604962587356567},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6270405650138855},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.5861268043518066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5846014618873596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.532394289970398},{"id":"https://openalex.org/keywords/ycbcr","display_name":"YCbCr","score":0.5298585295677185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49703601002693176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46817129850387573},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.4587678015232086},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.444375216960907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42404231429100037},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.41617482900619507},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3176279664039612},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.22350099682807922},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22232231497764587},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12696781754493713}],"concepts":[{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.8328785300254822},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7604962587356567},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6270405650138855},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.5861268043518066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5846014618873596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.532394289970398},{"id":"https://openalex.org/C2779407163","wikidata":"https://www.wikidata.org/wiki/Q1189998","display_name":"YCbCr","level":5,"score":0.5298585295677185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49703601002693176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46817129850387573},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4587678015232086},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.444375216960907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42404231429100037},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.41617482900619507},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3176279664039612},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.22350099682807922},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22232231497764587},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12696781754493713},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2015.23.1.art00039","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2015.23.1.art00039","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/23/1/art00039","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2015.23.1.art00039","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2015.23.1.art00039","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/23/1/art00039","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377985929.pdf","grobid_xml":"https://content.openalex.org/works/W4377985929.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1998280942","https://openalex.org/W4243959093","https://openalex.org/W3190486427","https://openalex.org/W1980149576","https://openalex.org/W2145138541","https://openalex.org/W1992410481","https://openalex.org/W2441603424","https://openalex.org/W2169405113","https://openalex.org/W4385625475","https://openalex.org/W2360274794"],"abstract_inverted_index":{"In":[0],"the":[1,36,56],"current":[2],"work,":[3],"seven":[4],"different":[5,66],"color":[6,67,97,127,149],"spaces":[7,68,128],"were":[8,48,134],"investigated":[9],"including":[10],"sRGB,":[11],"YCbCr,":[12],"YCoCg-R,":[13],"RDgDb,":[14],"CIELAB,":[15,130],"IPT,":[16],"and":[17,24,44,58,77,111,132,159],"CAM02-UCS":[18,100,119],"by":[19,69],"incorporating":[20],"into":[21],"JPEG1992,":[22],"JPEG2000":[23,160],"new":[25],"JPEG.":[26],"The":[27,79,118],"prime":[28],"objective":[29],"of":[30,38,42,55,108,157],"this":[31],"work":[32],"was":[33,63,101,120,161],"to":[34,51,92,103],"compare":[35],"performance":[37,62,155],"CSI-JPEG":[39,83,158],"with":[40,125,170],"that":[41,82,140,154],"JPEG1992":[43,93],"JPEG2000.":[45],"Psychophysical":[46],"experiments":[47],"also":[49,138,152],"performed":[50,166],"examine":[52],"visual":[53],"appearance":[54],"compressed":[57],"decompressed":[59],"images.":[60],"Compression":[61],"examined":[64],"for":[65,95,114],"using":[70],"measures":[71],"like":[72],"SNR,":[73],"PSNR,":[74],"MSE,":[75],"CIEDELAB":[76],"CIEDE2000.":[78],"results":[80],"showed":[81,153],"algorithm":[84,94],"provided":[85],"about":[86],"20-30%":[87],"more":[88,144],"compression":[89,109],"rate":[90,110],"compared":[91,124,169],"same":[96],"difference.":[98],"Moreover,":[99],"found":[102,121],"perform":[104],"best":[105],"in":[106],"terms":[107],"image":[112],"quality":[113],"all":[115],"three":[116],"algorithms.":[117],"significantly":[122,167],"better":[123,168],"linear":[126],"but":[129,164],"CIELUV,":[131],"IPT":[133],"insignificantly":[135],"better.":[136],"This":[137],"implies":[139],"it":[141],"is":[142],"visually":[143],"uniform":[145,148],"than":[146],"CIE":[147],"spaces.":[150],"Results":[151],"difference":[156],"not":[162],"significant":[163],"both":[165],"JPEG1992.":[171]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}