基于三边滤波的Retinex图像去雾算法

针对传统Retinex算法采用高斯滤波估计图像的照射分量易产生边缘模糊，不能有效去除脉冲噪声且处理后的图像颜色易失真等问题，提出一种基于三边滤波的Retinex图像去雾算法。该算法利用三边滤波器估计图像的照射分量，三边滤波器继承了双边滤波器既可以有效降低图像加性高斯噪声又可以保持图像边缘细节的特性，同时又解决了双边滤波器与高斯滤波器不能有效滤除脉冲噪声，易产生伪边缘等问题。为验证该算法的有效性，采用5种不同的客观评价参数对处理后的图像进行评价。实验证明，该算法能有效地改善雾天图像的退化现象，提高图像的清晰度。

Retinex image defogging algorithm based on trilateral filtering

A Retinex image defogging algorithm based on trilateral filtering is proposed in this paper to avoid edge fuzziness, impulse noise and color distortion in traditional Retinex algorithm. In the new algorithm, the trilateral filter is adopted to estimate the illumination component on image. The trilateral filter is utilized to replace Gaussian filter and bilateral filter, both of which can not effectively filter the pulse noise but are easy to produce false edge. Trilateral filter can preserve the image＇ s edges while it suppresses the additive white Gaussian noise as the bilateral filter does. Five different objective evaluation parameters are used to evaluate the disposed images to prove the effectiveness of the algorithm proposed in this paper. Experiment results show that this algorithm can effectively improve the degradation of foggy images and enhance their definition.