Abstract

Volume holographic imaging utilizes Bragg selectivity to optically slice the object space of the imaging system and measure four- (three spatial and one spectral) dimensional object information. The N-ocular version of this method combines multiple-volume holographic sensors and digital postprocessing to yield high-resolution three-dimensional images for broadband objects located at long working distances. We discuss the physical properties of volume holography pertinent to imaging performance and describe two computational algorithms for image inversion based on filtered backprojection and least-squares optimization.

© 2004 Optical Society of America

Broadband volume holographic imaging

Arnab Sinha and George Barbastathis
Appl. Opt. 43(27) 5214-5221 (2004)

Volume holographic imaging in transmission geometry

Arnab Sinha, Wenyang Sun, Tina Shih, and George Barbastathis
Appl. Opt. 43(7) 1533-1551 (2004)

Volume holographic imaging for surface metrology at long working distances

Arnab Sinha and George Barbastathis
Opt. Express 11(24) 3202-3209 (2003)

Volume holographic hyperspectral imaging

Wenhai Liu, George Barbastathis, and Demetri Psaltis
Appl. Opt. 43(18) 3581-3599 (2004)

Confocal-rainbow volume holographic imaging system

Jose M. Castro, Paul J. Gelsinger-Austin, Jennifer K. Barton, and Raymond K. Kostuk
Appl. Opt. 50(10) 1382-1388 (2011)