Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method
Author:
Affiliation:
1. Royal Military Academy
2. VRIT Research Group, Military Academy of Tunisia
3. SERCOM Lab, Tunisia Polytechnic School
4. Dept. Flow, Heat & Combustion Mechanics, Ghent University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017MVP0022/_pdf
Reference56 articles.
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2. [2] J.M. Bardsley and J.G. Nagy, “Covariance-preconditioned iterative methods for nonnegatively constrained astronomical imaging,” SIAM J. Matrix Anal. Appl., vol.27, no.4, pp.1184-1197, 2006. 10.1137/040615043
3. [3] M. Benzi, “Preconditioning techniques for large linear systems: A survey,” Journal of Computational Physics, vol.182, no.2, pp.418-477, 2002. 10.1006/jcph.2002.7176
4. [4] S. Berisha and J.G. Nagy, Iterative Methods for Image Restoration. http://www.mathcs.emory.edu/~nagy/RestoreTools/IR.pdf
5. [5] M. Bertero and P. Boccacci, Introduction to Inverse Problems in Imaging, Institute of Physics Publishing, London, 1998.
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