Variational Depth From Focus Reconstruction.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26394418.
- Also identified by DOI 10.1109/TIP.2015.2479469.
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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 (DFF) or shape from focus. We propose to state the DFF 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. In addition, we propose to solve the nonconvex minimization problem with a linearized alternating directions method of multipliers, allowing to minimize the energy very efficiently. A numerical comparison to classical methods on simulated as well as on real data is presented.