b. Given a 8 -bit image f(x,y) of size 33 that may suffer from the various issues, as follows. 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. i. Enhance the image that has very low contrast by increasing the dynamic range of the grey levels in the image. Draw the histograms of the original image and enhanced image. [6 points] 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 pointe] iii. The image is degraded by noise, particularly salt and pepper noise (impulse). The suggested solution to this issue should ensure that the desired edges are preserved during the noise removal process. For the filter size, you should use filter of size 33. You must apply replicate padding to handle the pixels near the boundary, if they are present. [4 points]