Phase noise suppression based on iterative adaptive bilateral filter in digital holographic microscopy for topography measurement

Topography measurement is a pivotal application in quantitative phase imaging using digital holographic microscopy. In this paper, a reflection-type digital holographic microscope is set up to reconstruct the phase image of the sample with step characteristics, and a noise suppression approach based on an iterative adaptive bilateral filter is proposed to reduce phase coherent noise. The proposed denoising approach considers the phase difference in the neighbourhood to better identify and preserve step characteristics. Experimental results demonstrated the effectiveness of the proposed method.