Non-iterative deblurring for image restoration
Ionut Mirel · 2012
The described algorithm is aiming on restoring the weekly blurred images by accelerating a Regularized Lucy-Richardson Deconvolution (LR) [1] with priors. The Point-Spread function (PSF) estimation is based on a multi-band approach. Analytically it is demonstrated that the proposed accelerated algorithm does not require iterations for restoring weakly blurred image and has super-resolution properties. An expression of the super-resolution characteristics of the algorithm is provided.