I don't know much about deconvolution.
My thinking is that the lens distortion parameters are best obtained
from many other images shot with the same focal length with the same
lens. It would be hard to calculate distortion from a motion blurred
image due to the loss of precision of control points.

Have you reached the stage of determining if the de-blurring works
better on original or distortion corrected images? I would guess that
distortion corrected images would produce better results because as a
lens moves, the distortion would cause features to move at different
velocities (=distances) at different regions of the image.

On Dec 15, 7:09 am, "Terry Duell" <[email protected]> wrote:
> Hullo All,
>
> A follow-up on my original post on this subject.
>
> On Sun, 11 Dec 2011 10:05:16 +1100, Terry Duell <[email protected]>
> wrote:
>
> [snip]
>
> > The main problem thus far has been obtaining a sufficiently accurate
> > alignment of the blur-sharp image pair, so I am currently trying a
> > scheme of iterating the alignment, basically as follows;
>
> > 1. Align blur-sharp pair and save remapped images.
> > 2. Estimate blur kernel and deblur the remapped blur.
> > 3. Generate CPs for the deblur and sharp, save .pto, edit .pto to
> > substitute remapped blur for deblur, then get a new alignment.
> > 4. Go to 2, and repeat the process.
>
> > The iterative process does improve the alignment a bit each step when
> > optimising y,p,r,v. I have run into problems when attempting to add lens
> > parameters to the optimisation. The distortion coefficients are reported
> > to be large and the FPW image goes haywire.
>
> Is there any fundamental problem in attempting to optimise everything when
> re-aligning remapped images?
>
> Cheers,
> --
> Regards,
> Terry Duell

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