Deblurring Images Using a Regularized Filter
This Deblurring Images Using a Regularized Filter shows how to use regularized deconvolution to deblur images.
Regularized deconvolution can be used effectively when constraints are
applied on the recovered image (e.g., smoothness) and limited information
is known about the additive noise. The blurred and noisy image is restored
by a constrained least square restoration algorithm that uses a regularized
filter.