Enhancing the robustness of underwater computational ghost imaging systems based on FADOF

Abstract

This research endeavors to boost the image quality of underwater computational ghost imaging systems amidst the challenges posed by background illumination and turbulent disturbances. Utilizing FADOF, we have empirically validated their advantage in mitigating interference and bolstering the robustness of imaging. In comparison to traditional filters, FADOF has proven to be remarkably resilient and stable in conditions rife with interference. Additionally, the strategic infusion of argon gas into the FADOF as a buffer has refined its transmission capabilities, adeptly filtering out extraneous frequency signals. Quantitative evaluations indicate that our enhanced FADOF markedly improves the quality of reconstructed images, achieving a commendable equilibrium between imaging proficiency and resource expenditure, especially at a 5 torr fill level. The findings of this study chart new courses for the evolution of underwater ghost imaging techniques, with far-reaching implications for augmenting our capacity for marine observation and fostering the sustainable exploitation of marine resources.