Reduction of Ghost Particles by Using Iterative Volumetric Filtering in Tomographic Digital Holography

Abstract

Ghost particles are one of the detection problems faced in tomographic digital holography using two cameras. Ghost particles are caused by reconstructed particle elongation in digital holography. In this paper, we propose a method to reduce ghost particles in tomographic digital holography by using iterative volumetric filtering. To evaluate the effect of iterative volumetric filtering, we conducted numerical simulations and calculated the signal-to-noise ratio. The results of the numerical simulation and experimental demonstration showed that this method suppresses the effect of ghost particles.