We see here two results.

That are obtained by this thresholded

inverse filter for the case under consideration.

Motion blur over eight pixels plus 20 dB blur signals [UNKNOWN] ration.

So, two different thresholds are utilized here 10 to the minus 16 and .01.

The main observation is that both restorations, they look

very similar actually, and they're both buried in noise.

So this is not an acceptable result.

We show here also one slice of the frequency response of the restoration

filter, which is equal to one over

the frequency response of the degradation system.

We see that the at the locations, frequency locations of

exact 0, the generalized inverse is also equal to 0.

Without do, using this generalized in this idea, one of the 0s should blow up.

They should be infinity values.

At 0 the frequency is one.

Right, it's normalized while another one is one.

And then at higher frequencies, because the frequency

response becomes, of the degradation system is smaller.

When I invert it, I see larger values

of the restoration filter at high, higher frequencies.

Let's see now how we can control the

result by modifying the threshold using a higher threshold.