Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask
Abstract
The freedom of design of coded masks used by mask-based lensless cameras is an advantage these systems have when compared to lens-based ones. We leverage this freedom of design to propose a shape-preserving optimization scheme for a radial-type amplitude coded mask. Due to the depth-independency of the radial mask's point spread function, they can be used for extending the effective depth of field (DOF) of a lensless imaging system. In this paper we optimized a coded mask for improved frequency response, while retaining its radial characteristics and therefore extended-DOF capabilities. We show that our optimized radial mask achieved better overall frequency response when compared to naive implementations of a radial mask. We also quantitatively and qualitatively demonstrated the extended DOF imaging achieved by our optimized radial mask in simulations by comparing it to different non-radial coded masks. Finally, we built a prototype camera to validate the extended DOF capabilities of our coded mask in real scenarios.
Keywords
Cite
@article{arxiv.2303.11554,
title = {Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask},
author = {Jose Reinaldo Cunha Santos A V Silva Neto and Tomoya Nakamura and Yasushi Makihara and Yasushi Yagi},
journal= {arXiv preprint arXiv:2303.11554},
year = {2025}
}
Comments
12 pages, 9 figures, IEEE Transactions on computational imaging