The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising

The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising

The implicit convex feasibility problem attempts to find a point in the intersection of a finite family of convex sets, some of which are not explicitly determined but may vary. We develop simultaneous and sequential projection methods capable of handling such problems and demonstrate their applicab...

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Veröffentlicht in:arXiv.org 2016-06
Hauptverfasser: Censor, Yair, Gibali, Aviv, Lenzen, Frank, Christoph Schnorr
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Sprache:eng
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Convexity
Feasibility
Medical imaging
Noise reduction
Remote sensors
Wireless sensor networks
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Gibali, Aviv
Lenzen, Frank
Christoph Schnorr
description The implicit convex feasibility problem attempts to find a point in the intersection of a finite family of convex sets, some of which are not explicitly determined but may vary. We develop simultaneous and sequential projection methods capable of handling such problems and demonstrate their applicability to image denoising in a specific medical imaging situation. By allowing the variable sets to undergo scaling, shifting and rotation, this work generalizes previous results wherein the implicit convex feasibility problem was used for cooperative wireless sensor network positioning where sets are balls and their centers were implicit.
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subjects Convexity
Feasibility
Medical imaging
Noise reduction
Remote sensors
Wireless sensor networks
title The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising
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