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arXiv · 1408.0173

Variational Depth from Focus Reconstruction

Michael Moeller·Martin Benning·Carola Schönlieb·Daniel Cremers
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Abstract

This paper deals with the problem of reconstructing a depth map from a sequence of differently focused images, also known as depth from focus or shape from focus. We propose to state the depth from focus problem as a variational problem including a smooth but nonconvex data fidelity term, and a convex nonsmooth regularization, which makes the method robust to noise and leads to more realistic depth maps. Additionally, we propose to solve the nonconvex minimization problem with a linearized alternating directions method of multipliers (ADMM), allowing to minimize the energy very efficiently. A numerical comparison to classical methods on simulated as well as on real data is presented.

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Michael Moeller, Martin Benning, Carola Schönlieb, Daniel Cremers. 2014-11-05. Variational Depth from Focus Reconstruction. https://doi.org/10.1109/tip.2015.2479469

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