Abstract--This paper studies the issue of optimal deconvolution density estimation using wavelets. The approach taken here can be considered as orthogonal series estimation in the ...
by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by w...
Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniu...
Abstract--We construct a new variational method for blind deconvolution of images and inpainting, motivated by recent PDE-based techniques involving the Ginzburg-Landau functional,...
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...