JOURNAL ARTICLE

Synthetic coded apertures in compressive spectral imaging

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:
Coded aperture Compressed sensing Digital micromirror device Data cube Computer science Optics Cube (algebra) Spectral imaging Projection (relational algebra) Iterative reconstruction Image resolution Aperture (computer memory) Computer vision Artificial intelligence Algorithm Physics Acoustics Detector Mathematics

Metrics

3
Cited By
0.32
FWCI (Field Weighted Citation Impact)
11
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Microwave Imaging and Scattering Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Medical Imaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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