Multiplexing is a common technique for encoding highdimensional image data into a single two-dimensional image. Examples of spatial multiplexing include Bayer patterns to encode color channels, and integral images to encode light fields. In the Fourier domain, optical heterodyning has been used to encode light fields. In this paper, we analyze the relationship between spatial and Fourier multiplexing techniques. We develop this analysis on the example of multi-spectral imaging, and then generalize it to light fields and other properties. We also analyze the effects of sensor saturation on Fourier multiplexing techniques such as optical heterodyning, and devise a new optimization approach for recovering saturated detail.
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