摘要
由于天线的低通滤波效应和噪声的影响,导致无源毫米波图像严重模糊.针对该问题,提出了一种改进的非线性频谱外推算法,用于无源毫米波图像增强.该算法改变了原算法中非线性滤波的方式,并结合总变分最小化方法对图像进行降噪处理.实验结果证明,较之于原算法,新算法更有效地改善了无源毫米波图像的质量、抑制了图像中的噪声.
Passive millimeter-wave images are heavily blurred due to the low-pass filter effect of antenna and the influence of noise. Aiming at the problem,an improved method of nonlinear extrapolation in frequency space was proposed and applied to passive millimeter-wave image enhancement. This algorithm changes the form of nonlinear filter,and denoises the image by combining with the method of total variation minimization. Experimental results show that the new method can improve the quality of passive millimeter-wave image and reduce the noise more effectively compared with the original algorithm.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2009年第5期367-370,381,共5页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金资助项目(60632020)
关键词
无源毫米波成像
图像增强
非线性频谱外推
总变分最小化
passive millimeter-wave imaging
image enhancement
nonlinear extrapolation in frequency space
total variation minimization
