4.6 Article

Proximity Operator of a Sum of Functions; Application to Depth Map Estimation

期刊

IEEE SIGNAL PROCESSING LETTERS
卷 24, 期 12, 页码 1827-1831

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2017.2752261

关键词

Convex optimization; disparity map estimation; proximal algorithms; proximity operator; splitting; support function

资金

  1. DEFI Imag'In - Project SIROCCO

向作者/读者索取更多资源

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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