On Sun, 03 Apr 2011 21:12:00 +1000, kfj <[email protected]> wrote:
Hang on, I don't think convolving the blurred image with the PSF will
recover the original - it will worsen the blur. You have to revert the
process (forgive me if I'm stating the obvious and you're doing just
that), I just can't think of what you have to do to the kernel to use
it to revert the convolution (maths buffs please come to the rescue!).
Of course that bit may be easier in the frequency domain.
I think you may have misunderstood. I'm talking about applying the psf to
the blurred image in a deconvolution process, which, as I understand it,
should recover the original. I think a couple of papers I have perused on
this subject have even gone as far as to say that if the psf that caused
the blur is applied it will recover the original image exactly.
And I still believe those sharp discontinuities and minimum-to-maximum
jumps in your source image may be part of the problem, never mind you
can recover the source image precisely.
OK. It is worth trying less severe steps to see the result.
I don't think the sharp changes should be a problem, but you may well be
right.
I suspect that there are other problems with my processing and
interpretation of the result. Still more homework on FFT stuff to do.
All the thorny issues involved with 'real' images are looking like more
than I can handle.
You have my sympathy. I feel like I've been in precisely your position
quite often when the maths is getting heavy. This is why I prefer the
convolution in the 'time' domain (btw. where is time in a 2D
matrix ;-)
Sorry A terminology mix up on my part. For this sort of stuff I should be
using the terms 'spatial' and 'frequency' domain, although 'time' domain
seems to be applied quite a lot to that which isn't the frequency domain
regardless of the nature of the problem. I think time can be considered
the same as distance in this sort of stuff.
Thanks for your comments.
Cheers,
--
Regards,
Terry Duell
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