Re: linear-space image converted to log-space

>
> Is it not just image = alog10(image), with the proper use of finite()
> and where() to trap errors?

No [but thanks!], that would take the data into log space and leave
the same number of pixels representing a given "row/frequency" of the
data.  I need to expand the low frequency ****tion of the image so that
****tions which only received 1 pixel now are smeared out over multiple
pixels in the low freq. range.  The data itself does not change, just
the percentage of the image it receives - low frequency elements are
smeared out broadly while high frequency elements (less interesting in
this case) are highly compressed.

I suspect I should be able to do this with interpolate, so that is
what I'm trying to pencil out.