And by looking at the, the general comment would

be that the low frequencies of the restoration filter.

Since they converge faster they're closer to the shape of the least squares filter.

While the high frequencies of the restoration

filter since they converge slower, are far away

from the values of the the squares filter.

We show, here, the restored images by

the iteratively least squares filter, after 50 iterations.

And after 465 iterations at convergence, based on this threshold that we utilized.

So the image on the left has ISNR 622 dB the image on the right ISNR 11.58 dB.

So the general statement base for the ISNR values, but also in the visual qualities

that the more iterations the sharper the restored image.

And this agrees with the description we've been making that the

low frequencies are restored faster than the high frequencies the edges.

So as the iteration progresses you see

shaper and sharper edges in the restored image.

I should also call your attention to the fact that the scale here changes.

It's 5 here, it's 14 here, pointing to the fact

that again, this restoration filter approaches the least squares filter.

At different rates for low and high frequencies.

So you see more activity at high frequencies as the iteration increases.