Median filtering enhanced self-evolving ghost imaging with adaptive illumination patterns

Yao Wang; Baolei Liu; Fan Wang

doi:10.1117/12.3046089

13 December 2024 Median filtering enhanced self-evolving ghost imaging with adaptive illumination patterns

Yao Wang, Baolei Liu, Fan Wang

Proceedings Volume 13501, AOPC 2024: Computational Imaging Technology; 1350105 (2024) https://doi.org/10.1117/12.3046089
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Single-pixel imaging (SPI) attracts lots of interest in X-ray, infrared, visible, and terahertz wave bands for the lower cost, wide-band compatibility, optical simplicity, robustness to noise, and fast sampling of single-pixel detection. Self-evolving ghost imaging (SEGI), as a new type of SPI, gives a new perspective by evolving the illumination patterns without postprocessing. Here, we improve the evolving efficiency of SEGI based on the continuity of the target, by applying a median image filter to the illumination patterns generated by the genetic algorithm. This method may help SEGI for practical applications such as real-time imaging, adaptive illumination, or human-robot interaction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yao Wang, Baolei Liu, and Fan Wang "Median filtering enhanced self-evolving ghost imaging with adaptive illumination patterns", Proc. SPIE 13501, AOPC 2024: Computational Imaging Technology, 1350105 (13 December 2024); https://doi.org/10.1117/12.3046089

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