Full-Color Computational Imaging with Single-Pixel Detectors Based on a 2D Discrete Cosine Transform

TL;DR

This paper introduces a novel full-color computational imaging method using structured illumination based on 2D discrete cosine transform, enabling high-quality image retrieval with a single-pixel detector from fewer measurements.

Contribution

The paper presents a new imaging technique that employs 2D DCT-based structured illumination for single-pixel, full-color imaging with noise cancellation and sub-Nyquist measurement capability.

Findings

Successful demonstration of full-color imaging with a single-pixel detector.

Ability to reconstruct images from fewer measurements than Nyquist sampling.

Simple experimental setup with effective noise cancellation.

Abstract

We propose and demonstrate a computational imaging technique that uses structured illumination based on a two-dimensional discrete cosine transform to perform imaging with a single-pixel detector. A scene is illuminated by a projector with two sets of orthogonal patterns, then by applying an inverse cosine transform to the spectra obtained from the single-pixel detector a full-color image is retrieved. This technique can retrieve an image from sub-Nyquist measurements, and the background noise is easily canceled to give excellent image quality. Moreover, the experimental setup is very simple.