Experimental study of super-resolution using a compressive sensing architecture

J. Christopher Flake; Gary Euliss; John B. Greer; Stephanie Shubert; Glenn Easley; Kevin Gemp; Brian Baptista; Michael D. Stenner; Phil A. Sallee

doi:10.1117/12.2050887

23 May 2014 Experimental study of super-resolution using a compressive sensing architecture

J. Christopher Flake, Gary Euliss, John B. Greer, Stephanie Shubert, Glenn Easley, Kevin Gemp, Brian Baptista, Michael D. Stenner, Phil A. Sallee

Author Affiliations +

Proceedings Volume 9109, Compressive Sensing III; 91090F (2014) https://doi.org/10.1117/12.2050887
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

An experimental investigation of super-resolution imaging from measurements of projections onto a random basis is presented. In particular, a laboratory imaging system was constructed following an architecture that has become familiar from the theory of compressive sensing. The system uses a digital micromirror array located at an intermediate image plane to introduce binary matrices that represent members of a basis set. The system model was developed from experimentally acquired calibration data which characterizes the system output corresponding to each individual mirror in the array. Images are reconstructed at a resolution limited by that of the micromirror array using the split Bregman approach to total-variation regularized optimization. System performance is evaluated qualitatively as a function of the size of the basis set, or equivalently, the number of snapshots applied in the reconstruction.

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J. Christopher Flake, Gary Euliss, John B. Greer, Stephanie Shubert, Glenn Easley, Kevin Gemp, Brian Baptista, Michael D. Stenner, and Phil A. Sallee "Experimental study of super-resolution using a compressive sensing architecture", Proc. SPIE 9109, Compressive Sensing III, 91090F (23 May 2014); https://doi.org/10.1117/12.2050887

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