Computational underwater ghost imaging based on scattering-and-absorption degradation

In underwater computational ghost imaging, the presence of scattering and absorption introduces significant degradation, leading to blurring and distortion of illuminating patterns. This work proposes an anti-degradation underwater computational ghost imaging (AUGI) method based on the physical degradation model of underwater forward degradation caused by scattering and absorption. Through AUGI, we can enhance the quality of a reconstructed image by about 10% compared to differential ghost imaging (DGI) as measured by peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), as a result of simulations. We experimentally demonstrate the superior effectiveness of this method in the artificial submarine environment. Additionally, benefitting from its simplicity, this method is expected to be applied across a wide range of underwater ghost imaging applications.