b$.$ given a $8-$bit image $f(x,y)$ of size $33$ that may suffer from the various issues, as follows.

$\backslash$table$[[50,30,40],[-12,80,-255],[35,55,12]]$

Original image $f(x,y)$

The image has very low contrast.

The image is corrupted by random noise which is characterized by sharp transition in grey levels.

The image is degraded by noise, particularly salt and pepper noise $($impulse$).$

The image fine details such as edges appear blurred and difficult to see or recognize.

Task: You have to solve all of the above issues from which the image suffers. Be sure to select appropriate techniques and kernels$/$filters$.$ Remember, you first need to scale the pixel values to the correct range.

ii$.$ The image is corrupted by random noise which is characterized by sharp transition in grey levels. In order to overcome this matter and enhance the image, you have to use lowpass filtering $($linear filter$)$ where the coefficients of the filter are same. You should use filter of size $33.$ You must apply zero padding to handle the pixels near the boundary, if they are present. What is the impact of using large size filter and zero padding? $[4$ points$]$

Answer: