{"title":"基于模板分解的灰度图像颜色转换方法","authors":"Wu Yingnan","doi":"10.1109/ICSCDE54196.2021.00029","DOIUrl":null,"url":null,"abstract":"In order to overcome the problems of low definition and long conversion time in traditional gray image color conversion methods, a new gray image color conversion method based on template decomposition is proposed. According to the principle of template decomposition, the template of the original gray image is decomposed into difference template and common template to calculate the edge strength of the image template and enhance the color balance. Based on the above results, the data points of color conversion channel of gray image are captured. Adaptive sampling strategy is used to resample the original gray image to improve the clarity. Finally, the color conversion is completed through the multi Gaussian mixture model. The experimental results show that this method can ensure the clarity of the converted image under the premise of fast color conversion, which shows that the practical application performance of this method is strong.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Color conversion method of gray image based on template decomposition\",\"authors\":\"Wu Yingnan\",\"doi\":\"10.1109/ICSCDE54196.2021.00029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to overcome the problems of low definition and long conversion time in traditional gray image color conversion methods, a new gray image color conversion method based on template decomposition is proposed. According to the principle of template decomposition, the template of the original gray image is decomposed into difference template and common template to calculate the edge strength of the image template and enhance the color balance. Based on the above results, the data points of color conversion channel of gray image are captured. Adaptive sampling strategy is used to resample the original gray image to improve the clarity. Finally, the color conversion is completed through the multi Gaussian mixture model. The experimental results show that this method can ensure the clarity of the converted image under the premise of fast color conversion, which shows that the practical application performance of this method is strong.\",\"PeriodicalId\":208108,\"journal\":{\"name\":\"2021 International Conference of Social Computing and Digital Economy (ICSCDE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference of Social Computing and Digital Economy (ICSCDE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCDE54196.2021.00029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDE54196.2021.00029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color conversion method of gray image based on template decomposition
In order to overcome the problems of low definition and long conversion time in traditional gray image color conversion methods, a new gray image color conversion method based on template decomposition is proposed. According to the principle of template decomposition, the template of the original gray image is decomposed into difference template and common template to calculate the edge strength of the image template and enhance the color balance. Based on the above results, the data points of color conversion channel of gray image are captured. Adaptive sampling strategy is used to resample the original gray image to improve the clarity. Finally, the color conversion is completed through the multi Gaussian mixture model. The experimental results show that this method can ensure the clarity of the converted image under the premise of fast color conversion, which shows that the practical application performance of this method is strong.