Learning Wavefront Coding for Extended Depth of Field Imaging

12/31/2019
by   Ugur Akpinar, et al.
3

The depth of field constitutes an important quality factor of imaging systems that highly affects the content of the acquired spatial information in the captured images. Extended depth of field (EDoF) imaging is a challenging problem due to its highly ill-posed nature, hence it has been extensively addressed in the literature. We propose a computational imaging approach for EDoF, where we employ wavefront coding via a diffractive optical element (DOE) and we achieve deblurring through a convolutional neural network. Thanks to the end-to-end differentiable modeling of optical image formation and computational post-processing, we jointly optimize the optical design, i.e., DOE, and the deblurring through standard gradient descent methods. Based on the properties of the underlying refractive lens and the desired EDoF range, we provide an analytical expression for the search space of the DOE, which helps in the convergence of the end-to-end network. We achieve superior EDoF imaging performance compared to state of the art, where we demonstrate results with minimal artifacts in various scenarios, including deep 3D scenes and broadband imaging.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 7

page 8

page 9

09/01/2020

End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics

To extend the capabilities of spectral imaging, hyperspectral and depth ...
08/03/2016

FPGA system for real-time computational extended depth of field imaging using phase aperture coding

We present a proof-of-concept end-to-end system for computational extend...
08/01/2019

Deep Optics for Single-shot High-dynamic-range Imaging

High-dynamic-range (HDR) imaging is crucial for many computer graphics a...
11/24/2017

End-to-End Deep HDR Imaging with Large Foreground Motions

This paper proposes the first end-to-end deep framework for high dynamic...
06/01/2020

PlenoptiSign: an optical design tool for plenoptic imaging

Plenoptic imaging enables a light-field to be captured by a single monoc...
12/12/2017

Deep learning enhanced mobile-phone microscopy

Mobile-phones have facilitated the creation of field-portable, cost-effe...
01/29/2021

Morphological components analysis for circumstellar disks imaging

Recent developments in astronomical observations enable direct imaging o...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.