Publications [#336966] of David J. Brady
- Zhang, W; Cao, L; Zhang, H; Jin, G; Brady, D, Noise reduction in digital holography based on a filtering algorithm,
Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10503
(January, 2018), SPIE, ISBN 9781510614918 [doi]
(last updated on 2019/11/20)
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Holography is a tool to record the object wavefront by interference. Complex amplitude of the object wave is coded into a two dimensional hologram. Unfortunately, the conjugate wave and background wave would also appear at the object plane during reconstruction, as noise, which blurs the reconstructed object. From the perspective of wave, we propose a filtering algorithm to get a noise-reduced reconstruction. Due to the fact that the hologram is a kind of amplitude grating, three waves would appear when reconstruction, which are object wave, conjugate wave and background wave. The background is easy to eliminate by frequency domain filtering. The object wave and conjugate wave are signals to be dealt with. These two waves, as a whole, propagate in the space. However, when detected at the original object plane, the object wave would diffract into a sparse pattern while the conjugate wave would diffract into a diffused pattern forming the noise. Hence, the noise can be reduced based on these difference with a filtering algorithm. Both amplitude and phase distributions are truthfully retrieved in our simulation and experimental demonstration.