摘要
将小波变换理论应用于红外图像处理 ,提出一种基于小波变换的红外图像对比度增强方法。对低对比度的红外图像施行小波变换 ,得到其多尺度梯度分布 ;合理地增强其在各个尺度上的梯度模值 ,直接扩大尺度空间图像的动态范围 ,既增强了图像的对比度 ,又控制了噪声。实验结果表明 ,与直方图均衡方法相比 。
A new scheme of contrast enhancement of infrared image via wavelet transform is proposed. By means of wavelet transformation of the low contrast infrared image, its distribution of multiscale gradient can be achieved .We improve image contrast by modifying the modulus of the gradient image on multiple scales rationally and enlarging its dynamic scope in scale space directly, and we can control noise magnification. Experimental results demonstrate this method is better than histogram equalization under this circumstance.
出处
《国防科技大学学报》
EI
CAS
CSCD
2000年第6期117-119,共3页
Journal of National University of Defense Technology
基金
国家部委基金资助项目
