Title | Sampling and processing for compressive holography [Invited]. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | S Lim, DL Marks, and DJ Brady |
Journal | Applied Optics |
Volume | 50 |
Start Page | H75 |
Issue | 34 |
Pagination | H75 - H86 |
Date Published | 12/2011 |
Abstract | Compressive holography applies sparsity priors to data acquired by digital holography to infer a small number of object features or basis vectors from a slightly larger number of discrete measurements. Compressive holography may be applied to reconstruct three-dimensional (3D) images from two-dimensional (2D) measurements or to reconstruct 2D images from sparse apertures. This paper is a tutorial covering practical compressive holography procedures, including field propagation, reference filtering, and inverse problems in compressive holography. We present as examples 3D tomography from a 2D hologram, 2D image reconstruction from a sparse aperture, and diffuse object estimation from diverse speckle realizations. |
DOI | 10.1364/ao.50.000h75 |
Short Title | Applied Optics |