Hongjuan Yang, Kaifan Ji, Yunfei Yang, W. Duan, H. Deng, Bo Liang
{"title":"光照不均匀太阳像的一种基于视点的正确方法","authors":"Hongjuan Yang, Kaifan Ji, Yunfei Yang, W. Duan, H. Deng, Bo Liang","doi":"10.1109/ICSESS.2017.8342902","DOIUrl":null,"url":null,"abstract":"The traditional mask method and background fitting method can not correct effectively the solar image with uneven illumination. We adopt a correct method based on Retinex for the solar image with uneven illumination. The quality of image is improved by compressing the range of brightness and increasing the contrast by separately processing the effect of illumination and reflectivity to the intensity value. It could reveal the detailed character of the shadow area of the image. By contrasting four evaluate indexes, including the mean intensity, the image entropy, the image contrast and the peak signal to noise ratio (PSNR), this method is proved to be effective in the solar image with uneven illumination.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A correct method based on retinex for the solar image with uneven illumination\",\"authors\":\"Hongjuan Yang, Kaifan Ji, Yunfei Yang, W. Duan, H. Deng, Bo Liang\",\"doi\":\"10.1109/ICSESS.2017.8342902\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional mask method and background fitting method can not correct effectively the solar image with uneven illumination. We adopt a correct method based on Retinex for the solar image with uneven illumination. The quality of image is improved by compressing the range of brightness and increasing the contrast by separately processing the effect of illumination and reflectivity to the intensity value. It could reveal the detailed character of the shadow area of the image. By contrasting four evaluate indexes, including the mean intensity, the image entropy, the image contrast and the peak signal to noise ratio (PSNR), this method is proved to be effective in the solar image with uneven illumination.\",\"PeriodicalId\":179815,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2017.8342902\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2017.8342902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A correct method based on retinex for the solar image with uneven illumination
The traditional mask method and background fitting method can not correct effectively the solar image with uneven illumination. We adopt a correct method based on Retinex for the solar image with uneven illumination. The quality of image is improved by compressing the range of brightness and increasing the contrast by separately processing the effect of illumination and reflectivity to the intensity value. It could reveal the detailed character of the shadow area of the image. By contrasting four evaluate indexes, including the mean intensity, the image entropy, the image contrast and the peak signal to noise ratio (PSNR), this method is proved to be effective in the solar image with uneven illumination.