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Algorithms and software for total variation image reconstruction via first-order methods

Authors
  • Dahl, Joahim
  • Hansen, Per Christian
  • Jensen, Søren Holdt
  • Jensen, Tobias Lindstrøm
Publication Date
Jan 01, 2010
Source
Online Research Database In Technology
License
Unknown
External links

Abstract

This paper describes new algorithms and related software for total variation (TV) image reconstruction, more specifically: denoising, inpainting, and deblurring. The algorithms are based on one of Nesterov's first-order methods, tailored to the image processing applications in such a way that, except for the mandatory regularization parameter, the user needs not specify any parameters in the algorithms. The software is written in C with interface to Matlab (version 7.5 or later), and we demonstrate its performance and use with examples.

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