Abstract

We present a method for realizing snapshot, depth-resolved material identification using only a single, energy-sensitive pixel. To achieve this result, we employ a coded aperture with subpixel features to modulate the energy spectrum of coherently scattered photons and recover the object properties using an iterative inversion algorithm based on compressed sensing theory. We demonstrate high-fidelity object estimation at x-ray wavelengths for a variety of compression ratios exceeding unity.

© 2013 Optical Society of America

Snapshot molecular imaging using coded energy-sensitive detection

Joel A. Greenberg, Kalyani Krishnamurthy, and David Brady
Opt. Express 21(21) 25480-25491 (2013)

Single-snapshot X-ray imaging for nonlinear compressive tomosynthesis

Qile Zhao, Xu Ma, Angela Cuadros, Tianyi Mao, and Gonzalo R. Arce
Opt. Express 28(20) 29390-29407 (2020)

Snapshot 2D tomography via coded aperture x-ray scatter imaging

Kenneth P. MacCabe, Andrew D. Holmgren, Martin P. Tornai, and David J. Brady
Appl. Opt. 52(19) 4582-4589 (2013)

Single-pixel compressive diffractive imaging

Ryoichi Horisaki, Hiroaki Matsui, Riki Egami, and Jun Tanida
Appl. Opt. 56(5) 1353-1357 (2017)

Compressive holography with a single-pixel detector

Pere Clemente, Vicente Durán, Enrique Tajahuerce, Pedro Andrés, Vicent Climent, and Jesús Lancis
Opt. Lett. 38(14) 2524-2527 (2013)