Re: reconstructing low res image when have some high res info

Memo wrote:

>  I have a low resolution image and I have high resolution images of
> some parts of that low resolution image.  What is the best way to
> combine that information so I can improve the resolution in areas of
> the image where I don't have the high resolution information?

I doubt that you can beat the Bayesian approach if computational cost is 
not a barrier. Essentially you need to be able to compute the observed 
data from the high resolution model image, and also the matrix transpose 
of this operation. Armed with these two transforms you can use various 
maximum entropy or other constrained non-linear least square methods to 
find a model image consistent with the observed data to within the noise.

I suspect that you will not get much more than a slight bleeding of the 
high resolution data decaying exponentially away from edges of the high 
res areas (with a rate depending on the half width of the effective psf).

Regards,
Martin Brown
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