An Iterative Self-adaptive Algorithm to Impulse Noise Filtering for Color Images

Based on a simple impulse detector, an iterative self-adaptive algorithm to impulsive noise filtering for color images is presented in this paper. First, a simple but effective impulse detector is used in detecting the noise pixels in color images. Then, if a pixel is detected as a corrupted one according to the impulse detector, the proposed filter will select a suitable pixel in the predefined filter window to replace it, whereas the undistorted pixels are preserved under the filtering operation. The experimental results demonstrate that the proposed method outperforms other conventional multichannel filters in reducing impulsive noise and retaining edges and corners in color images. The distinctive advantage of our algorithm is its very simplicity but very good performance.