Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns

TL;DR

This paper introduces a robust computational ghost imaging method using pink noise speckle patterns, which maintains image quality under noise interference better than traditional white noise patterns.

Contribution

The study presents a novel pink noise speckle pattern scheme for ghost imaging that enhances noise robustness and image reconstruction quality.

Findings

Pink noise speckle patterns improve noise resistance.

The method outperforms white noise patterns in noisy environments.

Potential applications include underwater and dynamic target imaging.

Abstract

We propose a computational ghost imaging scheme using customized pink noise speckle pattern illumination. By modulating the spatial frequency amplitude of the speckles, we generate speckle patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized speckle patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise speckle patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.