This is a small Julia package that provides computational ghost imaging and compressed sensing (basis pursuit denoising) functionality for constructing images using a "single-pixel camera" proof-of-concept.

The computational ghost imaging is simple enough, and just uses standard linear algebra. The basis pursuit denoising is implemented using implicit operators via GenSPGL.jl package.

We have set up a photodiode with a square centimeter of sensitive area to read the light intensity from a computer monitor configured with LabView to output random black and white pixel patterns in a square grid. We place an opaque object like a strip of paper or a transparency sheet between the displayed pattern and the photodiode and record the pattern used and the intensity measured. From these data, the code in this package can be used to reconstruct the transmission function (an image) of the object.