一种改进的加权滤波去噪算法

An Improved Filtering Noising Algorithm

噪声图像的恢复是影响图像信息的一个重要因素,提出了一种新的滤波算法,该算法首先利用阀值把噪声和图像像素区分开来,再对像素进一步区分出脉冲噪声和图像像素,最后对脉冲噪声用改进的加权中值滤波器滤波。仿真结果表明,该方法对脉冲噪声有很好的抑制作用,而且较好地保存了图像细节和结构信息,证明该方法具有实用性和有效性。

The restoration of noise image is an important factor to influence image information. This paper presents a new filte- ring algorithm. The algorithm uses the threshold to separate noise and image pixels, then classifies the pixels into noise pulse and image, and finally filters the impulse noise with the improved weighted median filter. Simulation results show that the method has a very good inhibition effect toward pulse noise, preserves image and structure information details, and is a practical and ef- fective method.