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function-dehaze
- its used to remove haze-its used to remove haze..
Delaunay-triangulation-algorithm
- Delaunay三角网算法的设计与研究对 DTM 的建立有着重要的作用, 本文在分析已有三角网算法的基础上, 根据逐点插入算法的思想与凸包算法相结合, 提出了自己的算法: 先绘制凸包, 然后构建初始三角网, 最后用 LOP方法整体优化。该算法尽可能的减少了对一条边的优化次数, 从而提高了算法的运行效率-The interference of the cloud no ise affects seriously the interpretation and information extracti
haze
- matlab代码实现的基于大气散射模型的去雾处理，有参考图片-processing matlab code based on the atmospheric scattering model to fog, the reference picture
wumai1
- 利用retinex理论对雾霾天气下的图像进行去雾处理，达到图像增强的效果-Retinex theory use images under fog and haze were treated to fog, to image enhancement effect
A Fast Single Image Haze Removal Algorithm
- Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image. By creating a linear model for modeling
defog(matlab)
- MATLAB去雾程序，基于暗通道先验的图像去雾理论。可用于去雾霾实验。(MATLAB fogging program, based on the dark channel priori image demogging theory. It can be used to remove fog and haze test.)
基于直方图优化的图像去雾技术matlab
- 展开雾霾天气的图象清晰化技术 的讨论，雾天图象的清晰化技术对其他 的恶劣天气的清晰化处理也有促进作用。(The technology of image sharpening in fog and haze is also discussed. The clarity of fog images can also help to clear the other bad weather.)
MATLAB雾霾交通标志shibie[GUI]
- 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易