An Effective Impulse Noise Detector of Switching Median Filter using Min-Max Working Window

In this paper, an effective impulse noise detector of switching median filter is proposed. Our method compares the current pixel with the brightest and the darkest pixels in its working window and uses the difference value of them to determine whether the current pixel is corrupted by impulse noise or not. Particularly, it can remove the noise from corrupted images efficiently and requires no previous training. The experimental results demonstrate that our method achieves excellent performance in terms of undetected ratio, mis-detected ratio and PSNR, especially when the image is under heavy corruption. Since our method requires low computational complexity, it is suitable to be implemented by hardware and applied to many real-time applications.