Implement average and median filters using the following size of masks, display the input and output images. Calculate the mean square error (the differences between the original image and the filtered image) for each case. Construct a table that ranks the MSE (mean square error) for each case from lowest to highest. (you may use MATLAB functions: conv2, imfilter, or medfilt2. Note that imfilter function truncates negative values and change output data to the data type of input image)

a- 3x3 average and median filters

b- 9x9 average and median filters