image processing - Deconvolution with Lucy-Richardson method using MatLab -

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i trying deblur image using matlab. have point spread function (psf) images blurred with. furthermore, know there noise gaussian distributed, , signal noise ratio (snr) high (>20).

matlab has couple of deconvolution functions use direct filtering (regularized filter , weiner filter), not yield satisfactory results.

matlab has lucy-richardson (lr) iterative algorithm that, in case, job in deblurring image (judged visually).

my question is: theoretically sound use lr method when noise in image has gaussian distribution ?

the lr assumes poisson noise in blurred image - mean performs best poisson noise, may adequate use other types of noise - can expect similar results if want deblur similar images in future?

or mean lr may randomly yield non-sense results if used images have other types of noise poisson ?


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