Open AccessCompressive Holography
Author(s) -
David J. Brady,
Kerkil Choi,
Daniel L. Marks,
Ryoichi Horisaki,
Sehoon Lim
Publication year - 2009
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.17.013040
Subject(s) - compressed sensing , optics , holography , digital holography , iterative reconstruction , signal (programming language) , signal reconstruction , sampling (signal processing) , materials science , signal processing , computer science , physics , computer vision , artificial intelligence , telecommunications , radar , detector , programming language
Compressive sampling enables signal reconstruction using less than one measurement per reconstructed signal value. Compressive measurement is particularly useful in generating multidimensional images from lower dimensional data. We demonstrate single frame 3D tomography from 2D holographic data.