Using salt and pepper noise detection and removal based on neighbor pixels in gray-scale images

Noise detection is one of the most important issues in image processing. There are different noises which salt and pepper is one the most common noise among them. All kinds of noises can happen during the image transmission. In this paper, after reviewing on some different algorithms, a new approach is proposed for detecting and removing salt and pepper noise. The proposed approach works based on median filter strategy. The results of implementation and comparisons show that the restored image, by proposed approach, has better visual quality.