A Novel Noise Filtering Method Using Kalman Filter in Digital Holographic Microscopy (DHM)

Three-dimensional (3D) profile by Digital Holographic Microscopy (DHM) always contains noise. This is an issue in the phase information extraction method of DHM system. However, in the conventional phase information extraction from the frequency domain, it may not extract only phase information. To solve this problem, we propose that the extracting phase information from the frequency domain of recorded hologram using DHM system is specified multiple times and Kalman filtering is performed on the multiple 3D profiles. The purpose of this method is to eliminate randomly generated noise and generate highly accurate 3D profiles. The generated 3D profile is subjectively and quantitatively evaluated with conventional methods. As a result, 3D profile of the proposed method shows the higher accuracy than the conventional method.