Title :
Generalized shrinkage and penalty functions
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
We extend the proximal mapping property of soft thresholding to a general class of shrinkage mappings. We give an example and demonstrate improved reconstruction performance.
Keywords :
image reconstruction; image segmentation; generalized shrinkage mappings; improved reconstruction performance; penalty functions; proximal mapping property; soft thresholding; sparse signal recovery; Approximation methods; Bridges; Image reconstruction; Imaging; Laboratories; Minimization; Signal processing algorithms;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736954
