# Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask

arXiv: https://arxiv.org/abs/2303.11554 · HTML: https://mlsanity.com/paper/2303.11554/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2023.

## Built on by (most cited first, 2 of 2)

- [Single-Image Depth from Defocus with Coded Aperture and Diffusion Posterior Sampling](https://mlsanity.com/paper/2509.17427/) (2025)
- [Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging](https://mlsanity.com/paper/2511.12024/) (2025)

## Abstract (arXiv)

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.