Imaging of objects submerged in random media

The scattering effects of random media severely limit the imaging capability of optical detection and ranging systems through clouds, fog, rain, turbid water, dust, biological tissues, and other medias. The method of precisely simulating the process of light transmission to invert object images is gradually becoming the mainstream approach for imaging through random media. The diffusion equation method, which involves solving the point spread function of light diffusion in random media, is a commonly used approach to simulate the transmission of light in random media. However, the diffusion equation method struggles to describe the behavior of light diffusing into objects within random media and returning directly. Based on the diffusion equation method, we have proposed a point spread function to describe the behavior of light diffusing into objects within random media and returning. Through the application of Wiener filtering, successful imaging of objects submerged in random media has been achieved. The imaging method we have proposed may have potential applications in fields such as medicine, search and rescue operations, exploration, and autonomous driving, where objects are typically submerged in random media.