JOURNAL ARTICLE

Synthetic coded apertures in compressive spectral imaging: Experimental validation

Abstract

Coded aperture compressive spectral imagers allow capturing spectral imaging information of a 3D cube with just a single 2D measurement of the coded and spectrally dispersed source field. These imagers systems often rely on existing FPA detectors, SLMs, and micro mirror devices, which are often mismatched in pitch size and pixel resolution. A traditional solution consists on grouping several pixels in square features with the aim to find a match between them. As a result, the resolution of the reconstructions decreases significantly. To overcome these hardware constraints, this paper develops a new model by which the high resolution of the coding and detector elements are fully exploited. Real reconstructions show the improvement and resolution gain achieved with the proposed approach compared with the grouping-pixel traditional solution.

Keywords:
Coded aperture Pixel Detector Computer science Compressed sensing Spectral imaging Data cube Resolution (logic) Image resolution Coding (social sciences) Cube (algebra) Artificial intelligence Optics Computer vision Iterative reconstruction Physics Mathematics Telecommunications

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Topics

Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Microwave Imaging and Scattering Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Photoacoustic and Ultrasonic Imaging
Physical Sciences →  Engineering →  Biomedical Engineering

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