Plenoptic imaging reconstruction tools, developed in the context of the VOXEL project, part of the European Union's Horizon 2020 research and innovation programme (VOXEL H2020-FETOPEN-2014-2015-RIA GA 665207).

It provides a Python package that allows to read and manipulate light-field images.

Documentation: []

To learn more about the functionality of the package check out our examples folder.
Authors and contributors

Nicola Viganò - Main developer
Francesco Brun - Initial contributions
Pablo Martinez Gil - Contributed to the creation and enabling of the .vox data format, and to the wavelet solver
Charlotte Herzog - Contributed to the creation and enabling of the .vox data format

See also the list of contributors who participated in this project.

How to contribute
Contributions are always welcome. Please submit pull requests against the master branch.

If you have any issues, questions, or remarks, then please open an issue on GitHub.

N. Viganò, et al., “Tomographic approach for the quantitative scene reconstruction from light field images,” Opt. Express, vol. 26, no. 18, p. 22574, Sep. 2018.
N. Viganò, et al., “Advanced light-field refocusing through tomographic modeling of the photographed scene,” Opt. Express, vol. 27, no. 6, p. 7834, Mar. 2019.
R. Ng, et al., “Light Field Photography with a Hand-held Plenoptic Camera,” Stanford Univ. Tech. Rep. CSTR 2005-02, 2005.
R. Ng, “Fourier slice photography,” ACM Trans. Graph., vol. 24, no. 3, p. 735, 2005.
M. W. Tao, et al., “Depth from combining defocus and correspondence using light-field cameras,” Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 673–680.

This project is licensed under the GNU General Public License v3 - see the file for details.
Computational Imaging

Viganò, N.R. (2018). Plenoptomos.