CHALLENGE $1.$

The exact and blurred images $x$ and $B$ in the above figure can be constructed in MATLAB

by calling

$[B,Ac,Ar,x]=$ challengel $(m,n,$ noise $)$;

with $m=n=256$ and noise $=0\mathrm{.}01.$ Try to deblur the image $B$ using

Xnaive $=A\frac{c}{\frac{?}{?}}\frac{B}{A}{r}^{\text{'}}$;

To display a grayscale image, say, $x,$ use the commands

imagesc$($X$),$ axis image, colormap gray

How large can you choose the parameter noise before the inverted noise dominates the

deblurred image? Does this value of noise depend on the image size?