Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Computational imaging in multiple scattering with recursive models

Not Accessible

Your library or personal account may give you access

Abstract

I will present a computational imaging framework by formulating the forward model using a recursive procedure [1]. This allows us to solve the inverse scattering problem using a neural network approach and recover information in multiple scattering.

© 2017 Optical Society of America

PDF Article
More Like This
SEAGLE: Robust Computational Imaging under Multiple Scattering

H.-Y. Liu, D. Liu, H. Mansour, P. T. Boufounos, L. Waller, and U. S. Kamilov
MM4C.1 Mathematics in Imaging (MATH) 2017

A Learning Approach to Compressive Holography

Waleed Tahir and Lei Tian
CTh2B.1 Computational Optical Sensing and Imaging (COSI) 2017

All Optical Rapid Solver of the Inverse Scattering Problem

Chene Tradonsky, Ronen Chriki, Vishwa Pal, Gilad Barach, Asher A. Friesem, and Nir Davidson
FTh2E.2 Frontiers in Optics (FiO) 2017

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.