Abstract
Compressive sensing is a powerful sensing and reconstruction framework for recovering high dimensional signals with only a handful of observations and for spectral imaging, compressive sensing offers a novel method of multispectral imaging. Specifically, the coded aperture snapshot spectral imager (CASSI) system has been demonstrated to produce multi-spectral data cubes color images from a single snapshot taken by a monochrome image sensor. In this paper, we expand the theoretical framework of CASSI to include the spectral sensitivity of the image sensor pixels to account for color and then investigate the impact on image quality using either a traditional color image sensor that spatially multiplexes red, green, and blue light filters or a novel Foveon image sensor which stacks red, green, and blue pixels on top of one another.
Highlights
Multispectral imaging in the visible light spectrum refers to color cameras that record more than three primaries [1]
Composed of a monochrome image sensor taking a series of pictures through an array of narrowband interference filters, these cameras are especially common in the fine arts since full spectral recordings avoid issues associated with metamerism – the apparent change in color of an object caused by changes in ambient light
A ray of light emanating from the scene is passed through a series of optical elements culminating in a prism that spreads that single ray of light over a lateral sequence of sensor pixels, in a wavelength dependent manner, just like a spectrophotometer would spread light across a linear CCD array
Summary
Multispectral imaging in the visible light spectrum refers to color cameras that record more than three primaries [1]. A ray of light emanating from the scene is passed through a series of optical elements culminating in a prism that spreads that single ray of light over a lateral sequence of sensor pixels, in a wavelength dependent manner, just like a spectrophotometer would spread light across a linear CCD array. Allowing for multiple rays of light simultaneously incident upon the sensor means that the camera can resolve a two dimensional image; because the spreading of light rays across lateral sequences of pixels means a single pixel will collect light from multiple sources, compressive sensing techniques must be employed to decouple the spectral profiles of neighboring pixels [3, 4].
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