Papers › The Proximal Map of the Weighted Mean Absolute Error
The Proximal Map of the Weighted Mean Absolute Error
Lukas Baumgärtner, Roland Herzog, Stephan Schmidt, Manuel Weiß
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We investigate the proximal map for the weighted mean absolute error function. An algorithm for its efficient and vectorized evaluation is presented. As a demonstration, this algorithm is applied as part of a checkerboard algorithm to solve a total-variation image denoising (ROF) problem as well as a non-smooth energy minimization problem.
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