摘要
介绍了一种基于MSR的自适应图像增强的方法,能够较好地自动处理由于云雾、雨天等天气原因和光照不足导致的景物不清、视觉质量差和对比度低的图像,提升多种类型的图像视觉质量。通过对实验的结果以及算法的普适性进行比较和分析,证明了该方法是有效的。
This paper presented an adaptive image enhancement approach based on Muhi-Scale Retinex （ MSR）. This method was good at automatic processing on imagery in poor weather conditions, such as frog, rain, thin cloud, or lack of light, to enhance the visual quality. The experimental results approve that this method is effective and generalizable, and suits for many types of images.
出处
《计算机应用》
CSCD
北大核心
2009年第8期2077-2079,共3页
journal of Computer Applications
