Variational Depth from Focus Reconstruction

Moeller M, Benning M, Schoenlieb C, Cremers D (2015)

Publication Type: Journal article

Publication year: 2015

Journal

IEEE Transactions on Image Processing Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 24

Pages Range: 5369-5378

Article Number: 7271087

Journal Issue: 12

DOI: 10.1109/TIP.2015.2479469

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.

Involved external institutions

Technische Universität München (TUM)

Germany (DE) University of Cambridge

United Kingdom (GB)

How to cite

APA:

Moeller, M., Benning, M., Schoenlieb, C., & Cremers, D. (2015). Variational Depth from Focus Reconstruction. IEEE Transactions on Image Processing, 24(12), 5369-5378. https://dx.doi.org/10.1109/TIP.2015.2479469

MLA:

Moeller, Michael, et al. "Variational Depth from Focus Reconstruction." IEEE Transactions on Image Processing 24.12 (2015): 5369-5378.

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