小波变换和粗糙集的图像增强方法

提出一种基于小波变换和粗糙集的图像增强方法,其思想是先把待处理图像采用小波分解成4个子图像,然后再对分解后的小波系数利用粗糙集进行处理,以改善图像的视觉效果,最后采用小波逆变换得到增强图像.该方法很好地区分了图像低频分量和高频分量对图像增强的不同影响.实验结果表明,该方法图像增强效果好,去噪能力强,能较好地保持图像的边缘细节信息.

An image enhancing method based on wavelet transform and rough sets

This paper presents an image enhancing method based on wavelet transform and rough sets.First,the original image is decomposed into four sub-images via wavelet transform.Then,the sub-images are enhanced via rough sets for optimizing the effect of the image.Finally,the whole enhanced image can be obtained by inverse wavelet transform.The method can distinguish the different influence of low-frequency and high-frequency components on image enhancement.The experimental results show that this method can maintain efficiently image edge information and has better performance of noise resistance.