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!