在数据传输过程中,信号常会受到干扰和噪声的影响,因此在获取有用信息前需要经过滤波处理。本文用海明窗函数法和切比雪夫最佳一致逼近法设计的FIR数字低通滤波器分别对一幅加噪的图像进行滤波处理,通过分析比较,发现海明窗函数法设计的低通滤波器滤波效果更好。 During data transmission, the signal is often affected by interference and noise, so it needs to be filtered before it can get useful information. In this paper, the FIR digital low-pass filter designed by the Hamming window function method and the Chebyshev best uniform approximation method is used to filter a noise-added image respectively. Through analysis and comparison, it is found that the low pass Filter filter better.