Hi,
I think you misunderstand what deconvolution is and when to use it. Deconvolution is used to undo the effects
of one single point spread function (e.g. for example the blurring of the image by atmospheric turbulence or some mirror or lens aberration). That point spread function is true for the whole image. Mathematically (and visually) it does not make sense to use deconvolution multiple times. Not in different amounts, and not in different places (and certainly not on stretched data!).
Ergo, you're not asking too much, you're just not asking the right question...
