摘要: 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。
关键词:
遥感图像,
图像增强,
非下采样Contourlet变换,
模糊增强,
自适应阈值
Abstract: 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 enhanced 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.
Key words:
remote sensing image,
image enhancement,
Nonsubsampled Contourlet Transform(NSCT),
fuzzy enhancement,
adaptive threshold
中图分类号:
杜超本, 贾振红, 覃锡忠, 杨杰, 胡英杰, 李殿均. 基于NSCT的遥感图像模糊增强算法[J]. 计算机工程, 2012, 38(04): 188-190.
DU Chao-Ben, GU Zhen-Gong, QIN Ti-Zhong, YANG Jie, HU Yang-Jie, LI Dian-Jun. Remote Sensing Image Fuzzy Enhancement Algorithm[J]. Computer Engineering, 2012, 38(04): 188-190.