Nonmonotone and Monotone Active-Set Methods for Image Restoration, Part 2: Numerical Results

T. Kärkkäinen and K. Majava
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T. Kärkkäinen: University of Jyväskylä
K. Majava: University of Jyväskylä

Journal of Optimization Theory and Applications, 2000, vol. 106, issue 1, No 5, 105 pages

Abstract: Abstract Active-set methods based on augmented Lagrangian smoothing of nondifferentiable optimization problems arising in image restoration are studied through numerical experiments. Implemented algorithms for solving both one-dimensional and two-dimensional image restoration problems are described. A new, direct way for solving the constrained optimization problem appearing in the inner iteration of the monotone algorithms is presented. Several numerical examples are included.

Keywords: Image restoration; bounded variations; active-set methods (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1023/A:1004607123926

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