基于小波变换和自适应直方图均衡的红外图像增强  

Infrared Image Enhancement Based on Wavelet Transform and Adaptive Histogram Equalization

作　　者：郑伟[1] 张友鹏[1] 马小玲[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,甘肃兰州730070

出　　处：《兰州交通大学学报》2009年第3期87-90,共4页Journal of Lanzhou Jiaotong University

摘　　要：针对实际应用中红外图像的对比度较低、存在噪声的缺点,结合人的视觉特征,在已有图像增强方法的基础上,采用小波变换与自适应直方图均衡相结合的方法对红外图像进行增强.该方法不但解决了红外图像对比度低的问题,而且降低了噪声,突出了图像细节.As the disadvantage of lower contrast and the existence of noise in practical infrared images, combined with human visual characteristics, an infrared image enhancement method on wavelet transform and adaptive histogram equalization is used to enhance the infrared image based on the existent image enhancement method. The problem of the low contrast in the infrared image is not only solved,but the noise of the image is also reduced, and the image detail is also highlighted.

关 键 词：红外图像 小波变换 自适应直方图均衡 

分 类 号：TN219[电子电信—物理电子学]