  We describe the application of structured imaging with a single pixel camera
to imaging through fog. We demonstrate the use of a high-pass filter on the
detected bucket signals to suppress the effects of temporal variations of fog
density and enable an effective reconstruction of the image. A quantitative
analysis and comparison of several high-pass filters are demonstrated for the
application. Both computational ghost imaging and compressive sensing
techniques were used for image reconstruction and compressive sensing was
observed to give a higher reconstructed image quality.
