Paper
26 September 2013 Using orthogonal self-loop coded aperture in a pushbroom computational spectral imager
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Abstract
Coded aperture spectral imaging is a new system to captures multiframes images and reconstructs them into spectral image cube based on compressive sensing theory (CS). However, using dynamic transformed coded aperture pattern can cause two primary problems, firstly the whole exposure procedure needs to be staring on the same surface feature which is depended on a high quality stable platform; secondly the coded aperture’s transformation might reduce the system’s stability. To avoid these problems without a loss of information for precise reconstruction, in the paper we propose dividing the single image panel into encoding spatial overlapped sub-districts. We design a pushbroom scan pattern to ensure each sub-district have enough sampling measurements. In each sub-district, we infer its measurement matrix can satisfy the sparsely requirements needed for accurate estimation and final reconstruction with CS sampling. Considering with efficiency and accuracy, we design a orthogonal self-loop coding mask (lines irrelevant) to guarantee the coding are irrelevant among distinct snapshot of the same scene. The simulation experiment reveals the design helping reconstruct the scene spectral cube with high throughput and resolution.
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Yang-yang Liu, Bin Xiangli, Qun-bo Lv, Huang Min, and Zhou Jinsong "Using orthogonal self-loop coded aperture in a pushbroom computational spectral imager", Proc. SPIE 8855, Optics and Photonics for Information Processing VII, 88550I (26 September 2013); https://doi.org/10.1117/12.2021596
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KEYWORDS
Coded apertures

Imaging systems

Reconstruction algorithms

Imaging spectroscopy

Sensors

Compressed sensing

Coded aperture imaging

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