Ling Wang, Changjun Li, Yang Xu, Manuel Melgosa, Kaida Xiao, Cheng Gao
{"title":"CIELUV颜色空间的改进","authors":"Ling Wang, Changjun Li, Yang Xu, Manuel Melgosa, Kaida Xiao, Cheng Gao","doi":"10.1002/col.22873","DOIUrl":null,"url":null,"abstract":"<p>Three new approximately uniform color spaces named MLUV, MLUV1, and MLUV2 were developed by modifying CIELUV lightness, <math>\n <mrow>\n <msup>\n <mi>u</mi>\n <mo>′</mo>\n </msup>\n <msup>\n <mi>v</mi>\n <mo>′</mo>\n </msup>\n </mrow></math> chromaticity coordinates, and <math>\n <mrow>\n <msup>\n <mi>u</mi>\n <mo>*</mo>\n </msup>\n <msup>\n <mi>v</mi>\n <mo>*</mo>\n </msup>\n </mrow></math> color coordinates, respectively. Performance tests using the combined and four individual datasets employed at CIEDE2000 development showed that MLUV, MLUV1 and MLUV2 were significantly better than CIELUV. Using values of Standardized Residual Sum of Squares (CIE 217:2016) for predictions of the four individual datasets the ranking (from best to worst) was MLUV, MLUV2 and MLUV1, but for predictions of two ellipses datasets the ranking (from best to worst) was MLUV2, MLUV, and MLUV1. Overall, the MLUV2 space was found to be the best. Hence, it is expected that MLUV2 could be used for color specification and color difference evaluations, especially in industrial applications that depend on additive light mixing, such as color TV sets, video monitors, and lighting.</p>","PeriodicalId":10459,"journal":{"name":"Color Research and Application","volume":"48 6","pages":"689-700"},"PeriodicalIF":1.2000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improvements to the CIELUV color space\",\"authors\":\"Ling Wang, Changjun Li, Yang Xu, Manuel Melgosa, Kaida Xiao, Cheng Gao\",\"doi\":\"10.1002/col.22873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Three new approximately uniform color spaces named MLUV, MLUV1, and MLUV2 were developed by modifying CIELUV lightness, <math>\\n <mrow>\\n <msup>\\n <mi>u</mi>\\n <mo>′</mo>\\n </msup>\\n <msup>\\n <mi>v</mi>\\n <mo>′</mo>\\n </msup>\\n </mrow></math> chromaticity coordinates, and <math>\\n <mrow>\\n <msup>\\n <mi>u</mi>\\n <mo>*</mo>\\n </msup>\\n <msup>\\n <mi>v</mi>\\n <mo>*</mo>\\n </msup>\\n </mrow></math> color coordinates, respectively. Performance tests using the combined and four individual datasets employed at CIEDE2000 development showed that MLUV, MLUV1 and MLUV2 were significantly better than CIELUV. Using values of Standardized Residual Sum of Squares (CIE 217:2016) for predictions of the four individual datasets the ranking (from best to worst) was MLUV, MLUV2 and MLUV1, but for predictions of two ellipses datasets the ranking (from best to worst) was MLUV2, MLUV, and MLUV1. Overall, the MLUV2 space was found to be the best. Hence, it is expected that MLUV2 could be used for color specification and color difference evaluations, especially in industrial applications that depend on additive light mixing, such as color TV sets, video monitors, and lighting.</p>\",\"PeriodicalId\":10459,\"journal\":{\"name\":\"Color Research and Application\",\"volume\":\"48 6\",\"pages\":\"689-700\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Color Research and Application\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/col.22873\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Color Research and Application","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/col.22873","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Three new approximately uniform color spaces named MLUV, MLUV1, and MLUV2 were developed by modifying CIELUV lightness, chromaticity coordinates, and color coordinates, respectively. Performance tests using the combined and four individual datasets employed at CIEDE2000 development showed that MLUV, MLUV1 and MLUV2 were significantly better than CIELUV. Using values of Standardized Residual Sum of Squares (CIE 217:2016) for predictions of the four individual datasets the ranking (from best to worst) was MLUV, MLUV2 and MLUV1, but for predictions of two ellipses datasets the ranking (from best to worst) was MLUV2, MLUV, and MLUV1. Overall, the MLUV2 space was found to be the best. Hence, it is expected that MLUV2 could be used for color specification and color difference evaluations, especially in industrial applications that depend on additive light mixing, such as color TV sets, video monitors, and lighting.
期刊介绍:
Color Research and Application provides a forum for the publication of peer-reviewed research reviews, original research articles, and editorials of the highest quality on the science, technology, and application of color in multiple disciplines. Due to the highly interdisciplinary influence of color, the readership of the journal is similarly widespread and includes those in business, art, design, education, as well as various industries.