Accuracy of the Discrete Fourier Transform and the Fast Fourier Transform
SIAM Journal on Scientific Computing
Digital Image Processing
Regularization in Regression with Bounded Noise: A Chebyshev Center Approach
SIAM Journal on Matrix Analysis and Applications
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Fast Fourier Transforms: for fun and profit
AFIPS '66 (Fall) Proceedings of the November 7-10, 1966, fall joint computer conference
Numerical Linear Algebra and Applications, Second Edition
Numerical Linear Algebra and Applications, Second Edition
Alternating Krylov subspace image restoration methods
Journal of Computational and Applied Mathematics
An analytical constant modulus algorithm
IEEE Transactions on Signal Processing
Bussgang blind deconvolution for impulsive signals
IEEE Transactions on Signal Processing
A novel blind deconvolution scheme for image restoration usingrecursive filtering
IEEE Transactions on Signal Processing
Total variation blind deconvolution
IEEE Transactions on Image Processing
Blind image deconvolution using a robust GCD approach
IEEE Transactions on Image Processing
Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
IEEE Transactions on Image Processing
Fast fixed-point neural blind-deconvolution algorithm
IEEE Transactions on Neural Networks
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In this paper we study the blind image deconvolution problem in the presence of noise and measurement errors. We use a stable banded matrix based approach in order to robustly compute the greatest common divisor of two univariate polynomials and we introduce the notion of approximate greatest common divisor to encapsulate the above approach, for blind image restoration. Our method is analyzed concerning its stability and complexity resulting to useful conclusions. It is proved that our approach has better complexity than the other known greatest common divisor based blind image deconvolution techniques. Examples illustrating our procedures are given.