Scatter denoising technique using Fourier domain filtering and integral imaging

Scatter denoising is a challenging project for removing noise under scattered media conditions such as fog and turbid water. In the previous studies, blurring caused by scattering media particles in fog or turbid water was solved by low-pass filtering or by removing the estimated scattering media and then amplifying the brightness with the photon-counting algorithm. However, these methods lose the accurate color information of the object by low-frequency filtering or using the probability-based photon-counting algorithm. Moreover, it is difficult to obtain shape information of an object under heavy turbidity. To solve this problem, we propose a new algorithm of scatter removal by combining Fourier domain filtering and integral imaging. To prove the proposed method, we carry out numerical analysis of experimental results by previous method and our proposed method.