Detail reconstruction in binary ghost imaging by using point-by-point method

TL;DR

This paper introduces a local-binary ghost imaging technique using a point-by-point method that improves detail reconstruction and compensates for information loss during binarization, with promising applications in high-detail imaging tasks.

Contribution

The paper presents a novel local-binary ghost imaging method employing point-by-point processing, enhancing image detail recovery compared to traditional approaches.

Findings

Numerical and experimental results demonstrate improved detail reconstruction.

The method effectively compensates for information loss during binarization.

Potential applications in high-detail imaging fields like target recognition.

Abstract

We propose a new local-binary ghost imaging by using point-by-point method. This method can compensate the degradation of imaging quality due to the loss of information during binarization process. The numerical and experimental results show that the target details can be reconstructed well by this method when compared with traditional ghost imaging. By comparing the differences of the speckle patterns from different binarization methods, we also give the corresponding explanation. Our results may have the potential applications in areas with high requirements for imaging details, such as target recognition.