一种新的毫米波图像去噪方法

A Novel Millimeter Wave Image Denoising Method

毫米波(MMW)焦平面成像系统得到的图像质量较差,为此,结合基于人类视觉系统(HVS)的自适应中值滤波和轮廓波变换,提出一种新的MMW图像去噪方法。利用基于HVS的自适应中值滤波方法实现噪声的自适应检测和滤波,滤除脉冲噪声。根据轮廓波分解的方向性和能量变化特性对中值滤波结果进行变换,并对得到高频子带做阈值去噪处理,以最大限度保留图像轮廓。实验结果表明,与传统方法相比,该方法所得图像的峰值信噪比较高。

Aiming at the problem that the image generated by Millimeter Wave（MMW） focal plane imaging system is contaminated by much unknown noise and has lower resolution, a novel image denoising method, combined with Human Visual System（HVS） based self-adaptive median filtering and contourlet transformation, is proposed in this paper. The noise is self-adaptively detected and filtered by using the method of HVS-based adaptive median filtering, and pulse noise is filtered efficiently. Utilizing the contourlet decomposition orientation and the energy variation to transform the median filtering result, the high frequency sub-bands are obtained, and they are further denoised by the threshold, which retains more image contour in degree. Experimental results show that that the proposed method has better denoising performance than other methods.