Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 24, Issue 12, Pages 1827-1831Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2017.2752261
Keywords
Convex optimization; disparity map estimation; proximal algorithms; proximity operator; splitting; support function
Categories
Funding
- DEFI Imag'In - Project SIROCCO
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Proximal splitting algorithms for convex optimization are largely used in signal and image processing. They make possible to call the individual proximity operators of an arbitrary number of functions, whose sum is to be minimized. But the larger this number, the slower the convergence. In this letter, we show how to compute the proximity operator of a sum of two functions, for a certain type of functions operating on objects having a graph structure. The gain provided by avoiding unnecessary splitting is illustrated by an application to depth map estimation.
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