  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.
