M.A. Thesis:

Remove salt and pepper noise using the gray wolf algorithm

The presence of noise in pictures is one of the most important and annoying topics in the field of digital image processing. Presence of noise in digital images causes the user not to be able to extract the desired and correct information from them. Salt-and-pepper noise is one of the most common digital image noises. The application of a median filter is the most important and also the most common method for removing salt-and-pepper noise. To improve the performance of median filtering, researchers have presented various methods. In this thesis to determine the size of the window of the median filter, gray wolf algorithm-based method is presented. In order to make the median filter capable to use a good number of healthy pixels to determine the new value of the pixel noise, in the proposed method of this study, the window size is chosen based on the density of pixels in the area and the estimation of the distribution of noise in the image. The results of the implementation of this suggested method shows its accuracy and efficiency compared to the standard median filter.

Keywords: Digital Image Processing, Salt Chilli Noise, Middle Filter, Gray Wolf Algorithm