基于粗糙集与小波变换的图像融合算法

粗糙集理论是处理不确定性问题的数学方法，本文提出了基于粗糙集与小波变换相结合的图像融合算法。该方法首先将粗糙集理论应用于图像滤波中，对含有椒盐噪声的图像进行粗糙中值滤波，然后对滤波后的图像进行小波融合。实验结果表明，粗糙中值滤波有较强的去噪能力，且较好地保持了图像的细节信息，在此基础上进行小波融合，使得融合结果图像具有良好的效果。

An Image Fusion Algorithm Based on Rough Sets and Wavelet Transformation

The rough sets theory is a mathematical tool to deal with problems on uncertainty.In this paper,an image fusion algorithm based on rough sets and wavelet transformation is proposed.Firstly,applying the rough sets theory into image filtering,the rough sets median filtering is examined on images which are contaminated by pepper-salt noise,and then the images are fused using wavelet.Experiment result shows that the rough sets median filtering is better than the standard median filtering,and the fusion results ...