Despeckling by sparse sampling on Bernoulli process in single-shot digital holography

Digital holography is a promising imaging technology. However, there is speckle noise in the reconstructed image of a digital hologram. Speckle degrades the quality of the reconstructed image. Suppression of speckle noise is a challenging problem in digital holography. A novel method is proposed to reduce speckle by a single-shot digital hologram in this paper. In the proposed method, a single-shot digital hologram is obtained by a conventional experiment setup without additional requirements. At the same time, different binary masks are designed and generated on Bernoulli process in a computer. Then the single-shot digital hologram is sampled by these binary masks to generate multiple holographic patterns. Eventually, these holographic patterns are reconstructed to suppress speckle noise in the reconstruction image. Simulation and experiment are made to verify the proposed method. Results show that it is effective and feasible for the proposed method to reduce speckle in the digital holography. The proposed method can be applied into various fields such as three-dimensional imaging, holographic diagnosis, and art display.