基于小波变换与改进中值滤波的红外图像去噪

Infrared Image De-noising Based on Wavelet Transform and Improved Median Filtering

红外图像去噪研究是红外研究领域的热点问题,热图的去噪效果对后期的图像处理起着重要的作用。在此针对于红外热像传统去噪算法中无法有效保持红外热像差细节的不足提出了一种改进算法。该方法采用改进的中值滤波结合小波变换对红外热图进行去噪处理,结果实验仿真表明该方法能够有效保持红外图像热差细节的同时,对噪声抑制也具有理想的效果,对于后期处理具有很好的鲁棒性。

The image de-noising is a core and hot issue in the research area of infrared imaging. The denoising effect of the thermograph plays an important role in the later image processing. An improved algorithm is proposed to overcome the disad- vantage that the aberration details of infrared thermal images can not be remained in traditional infrared thermal image denoising algorithms. This method adopts the improved median filtering and wavelet transform to perform the denoising pro- cessing of infrared thermographs. The experimental simulation shows that the method can effectively remain the aberration de- tails of infrared thermal images, and has an ideal effect of noise suppression and better robustness for the post processing.