Single pixel structured imaging through fog

TL;DR

This paper demonstrates a method for imaging through fog using a single pixel camera with high-pass filtering, showing that compressive sensing improves image quality over ghost imaging.

Contribution

It introduces a novel approach combining structured single pixel imaging with high-pass filtering to mitigate fog effects, and compares reconstruction techniques.

Findings

High-pass filtering suppresses fog-induced temporal variations.

Compressive sensing yields higher image quality than ghost imaging.

The method enables effective imaging through fog conditions.

Abstract

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.