• Corpus ID: 246240070

The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods

@article{Austin2022TheID,
  title={The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods},
  author={David L. Austin and Malena I. Espa{\~n}ol and Mirjeta Pasha},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.09831}
}
The image deblurring problem consists of reconstructing images from blur and noise contaminated available data. In this AMS Notices article, we provide an overview of some well known numerical linear algebra techniques that are use for solving this problem. In particular, we start by carefully describing how to represent images, the process of blurring an image and modeling different kind of added noise. Then, we present regularization methods such as Tikhonov (on the standard and general form… 
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