Improving Average and Median Filters

Average and median filters are the most popular filters used to reduce the negative effects of salt and pepper noise affected gray and color images, these filters work good when the noise affected the image has a small noise ratio. Average and median filters has some disadvantages, which are negatively affect the quality of the denoised image, they treat all the pixels regardless the pixel is a clean pixel or a noisy pixel. In this paper research an improvements will be added to the two filters making them capable to handle salt and pepper noise with high noise ratios. The improvements will be based on using a special mask and special logical index matrices to detect and process only noisy pixels. The improved modified filters will be implemented using noisy images with various noise ratios, the obtained quality factor of the modified filters will be compared with the results of using average and median filters to prove the enhancements provided by the proposed filters.