基于NSCT的遥感图像模糊增强算法

摘要

Traditional wavelet transformation enhancement can not adjust the brightness of an image effectively. Aiming at this problem, this paper proposes a remote sensing image fuzzy enhancement algorithm based on Nonsubsampled Contourlet Transform(NSCT). The remote sensing images are transformed into the high-pass sub-band and low-pass sub-band by NSCT, and the threshold is set in the high-pass sub-band, the high-pass subband coefficients which is greater than the threshold is cnhanced by linear enhancement, the high-pass subband coefficients which less than the threshold is set zero, the low-pass subband is enhanced by the fuzzy contrast enhancement. Experimental results show the effectiveness of the method in the improvement of entropy and the average.%针对传统小波变换增强方法无法调整图像亮度的问题,提出一种基于非下采样Contourlet变换(NSCT)的遥感图像模糊增强算法.对遥感图像进行NSCT变换,得到图像的高通子带和低通子带,在高通子带设置阈值,对大于阈值的高通子带系数进行线性增强,小于阈值的系数置为0,对低通子带进行模糊对比增强.实验结果表明,该算法能获得较好的图像平均值和熵值,视觉效果较优.