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week5

于 2020-04-13 发布
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说明:  吴恩达第五周作业。学习算法分两部分进行理解,第一部分是根据code对算法进行综述,第二部分是代码(The learning algorithm is divided into two parts, the first part is to summarize the algorithm according to the code, the second part is the code)

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    本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量,还能避免Retinex算法中带来的光晕效应,同时算法速度与同类型的图像增强算法比较更快速。之后,将这种理论运用到对彩色图像增强中,取得了很好的处理效果。 (使用同方知网浏览器打开)(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))
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