Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study
Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study
Imaging inverse problems can be formulated as an optimization problem and solved thanks to algorithms such as forward-backward or ISTA (Iterative Shrinkage/Thresholding Algorithm) for which non smooth functionals with sparsity constraints can be minimized efficiently. However, the soft thresholding operator involved in this algorithm leads to a biased estimation of …