Title :
Synthetic coded apertures in compressive spectral imaging
Author :
Galvis, Laura ; Arguello, Henry ; Arce, Gonzalo R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
Abstract :
Compressive spectral imagers have gained popularity recently due to their ability to sense a three-dimensional (3D) data cube with just a few two dimensional (2D) coded aperture projection snapshots. The coded apertures are realized by digital micromirror devices (DMD) which often do not match the pitch resolution of the focal plane array (FPA). This paper introduces the forward model and associated reconstruction algorithm for such mismatched spectral imagers, without the loss of spectral and spatial resolution. Simulations show the improvements in the reconstructions achieved with the proposed approach yielding up to 12 dB gain in PSNR with respect to traditional.
Keywords :
compressed sensing; hyperspectral imaging; image coding; image reconstruction; compressive spectral imaging; digital micromirror devices; focal plane array; mismatched spectral imagers; reconstruction algorithm; synthetic coded apertures; three dimensional data cube; two dimensional coded aperture projection snapshots; Apertures; Detectors; Image reconstruction; Imaging; PSNR; Spatial resolution; Spectral imaging; coded aperture; compressive sensing; hyperspectral imaging; pitch resolution;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854187