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Deconvolution - Theory

Hello,

just a quick question about theory: I'm studying deconvolution, specifically, image restoration.

Briefly, we want to calculate an image estimate F_est of the original, unblurred, image f by minimizing:

                     2
T = || I_out - K*f ||
                     2

I_out = our output, blurred image K = point spread function

T measures how close our current estimate is to I_out and we aim at minimize this distance. My question is: if the current estimate is very close to I_out, what does that indicate, why is that a good estimate? What if they would be distant?

Thanks in advance!