Please answer these two question with matlab code. If you cannot finish it completely, do not choose it!

And the image im is :

ii. Add Gaussian white noise with zero mean and variance 10 to the image im and display the noisy image. Name it as im_wn. (5) Try to use the technique of Image Averaging to remove the noise of sub-task ii, e.g., average 10 images to get im_wn10, average 100 images to get im_wn100, and average 1000 images to get im_wn1000. Evaluate the PSNR of these three images with respect to the reference image im. Comments and briefly explain this result. (15) vii. Image im wn10 PSNR (dB) im wn100 im_wn1000 ii. Add Gaussian white noise with zero mean and variance 10 to the image im and display the noisy image. Name it as im_wn. (5) Try to use the technique of Image Averaging to remove the noise of sub-task ii, e.g., average 10 images to get im_wn10, average 100 images to get im_wn100, and average 1000 images to get im_wn1000. Evaluate the PSNR of these three images with respect to the reference image im. Comments and briefly explain this result. (15) vii. Image im wn10 PSNR (dB) im wn100 im_wn1000