针对脉冲噪声的抑制问题，提出了一种利用图像中未被污染的信号点向外自适应生长来消噪的快速自适应算法。算法首先利用信号阈值判决区间提取出输入图像中未被污染的信号点形成信号矩阵并作标记，同时计算信号密度；然后利用信号密度自适应控制信号点按一定幅度向外生长；最后对生长后的信号矩阵进行归一化处理和修正,得到滤波结果。与当前消噪算法相比，所提出的算法在消噪效果和复杂度方面优势较为明显。

This paper proposed a swift adaptive algorithm to restore images from impulse noise, by expanding the real signal pixels so as to smooth the noisy ones. First, the algorithm uses a critical region to distinguish signal pixels from noise and set a marked matrix. Then calculate the density of signal, which will be used to control the extent of growth adaptively. The final restored image will be obtained nearly after a simple correction on the expanded image matrix. The proposed algorithm exceeds the current ones markedly in both denoising effect and computational complexity.