Topics in matrix analysis
A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
SIAM Journal on Scientific Computing
A Note on Antireflective Boundary Conditions and Fast Deblurring Models
SIAM Journal on Scientific Computing
Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms)
Constrained iterations for blind deconvolution and convexity issues
Journal of Computational and Applied Mathematics
An efficient computational approach for multiframe blind deconvolution
Journal of Computational and Applied Mathematics
Total variation blind deconvolution
IEEE Transactions on Image Processing
Regularization of RIF blind image deconvolution
IEEE Transactions on Image Processing
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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Blind deconvolution problems arise in many image restoration applications. Most available blind deconvolution methods are iterative. Recently, Justen and Ramlau proposed a novel non-iterative blind deconvolution method. The method was derived under the assumption of periodic boundary conditions. These boundary conditions may introduce oscillatory artifacts into the computed restoration. We describe extensions of the Justen---Ramlau method that allow the use of Neumann and antireflective boundary conditions.