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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Neto, Jose Reinaldo Cunha Santos A V Silva, Nakamura, Tomoya, Makihara, Yasushi, Yagi, Yasushi
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908612868177920
author Neto, Jose Reinaldo Cunha Santos A V Silva
Nakamura, Tomoya
Makihara, Yasushi
Yagi, Yasushi
author_facet Neto, Jose Reinaldo Cunha Santos A V Silva
Nakamura, Tomoya
Makihara, Yasushi
Yagi, Yasushi
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2303_11554
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask
Neto, Jose Reinaldo Cunha Santos A V Silva
Nakamura, Tomoya
Makihara, Yasushi
Yagi, Yasushi
Image and Video Processing
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.
title Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask
topic Image and Video Processing
url https://arxiv.org/abs/2303.11554