基于数学形态学和小波融合的红外图像去噪

Infrared Image De-noising Based on Mathematical Morphology and Wavelet Fusion

为了提高红外成像制导导弹的制导效果,必须要提高导弹摄取到的红外图像的质量,这就需要去除图像中的躁声,文中针对传统去躁方法如图像平滑、中值滤波、小波分析等去躁效果都不理想的情况,提出将数学形态学和小波融合相结合对图像进行去躁处理,并进行仿真运算。结果表明,采用基于数学形态学和小波融合的方法对图像进行去噪处理,其效果明显好于传统的图像去噪方法。

For enhancing guidance effect of infrared imaging guided missiles, the image quality of the missile must be enhanced, denoising of Infrared Image is needed. For the phenomenon that traditional method such as image smoothing, median filter and wavelet analysis can＇t perfectly deoise the image with heavy density noise, a method that combines mathematical morphology with wavelet fusion and simulation was proposed. The result of simulation shows that the effect of the method based on mathematical morphology and wavelet fusion to process noised image will be better than traditional image de-noising methods.