An additive convolution model for fast restoration of nonuniform blurred images
Author:
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications
Link
http://www.tandfonline.com/doi/pdf/10.1080/00207160.2013.811235
Reference33 articles.
1. Fast Image Recovery Using Variable Splitting and Constrained Optimization
2. An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
3. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
4. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
5. A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration
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1. Decomposition of Space-Variant Blur in Image Deconvolution;IEEE Signal Processing Letters;2016-03
2. Efficient non-uniform deblurring based on generalized additive convolution model;EURASIP Journal on Advances in Signal Processing;2016-02-19
3. Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms;Lecture Notes in Computer Science;2015
4. A Generalized Additive Convolution Model for Efficient Deblurring of Camera Shaken Image;Lecture Notes in Computer Science;2015
5. Editorial;International Journal of Computer Mathematics;2014-11-02
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