一种基于暗通道优先和双边滤波的遥感图像 增强方法

提出了一种基于暗通道原理和双边滤波的遥感图像增强算法。由于暗通道模型的softmatting过程计算复杂性高，本文使用双边滤波代替softmatting以用于透射图的优化，提高了计算效率。针对将暗通道原理应用于遥感图像增强时所产生的色彩失真现象，提出了透射图的改进算法，提高景深图像的取值，同时约束其最大值不大于1。实验结果表明，本文的算法能够有效地增加图像对比度，使图像更符合视觉特性，适用于遥感图像的可视化增强。

An approach of remote sensing image enhancement based on dark channel prior and bilateral filtering

An approach based on dark channel prior and bilateral filtering is proposed for the enhancement of remote sensing images. To address the high computational complexity of softmatting in the dark channel prior model, bilateral filtering is used to optimize the transmission map. Crossing-color is observed when dark channel prior is applied to the enhancement of remote sensing images. Thus an improved algorithm for calculating transmission map is presented by improving the pixel values of depth images and making all pixel values not more than 1. Experimental results demonstrate that the proposed method can effectively increase image contrast and make the image more acceptable in line with the visual characteristics, which is feasible for the remote sensing image visualization enhancement.