Performance comparison of wavelet families for noise reduction and intensity thresholding in Fourier Ptychographic microscopy

• DOI: 10.1016/j.optcom.2022.128400
• Publication Date: 2022-05-07T14:53:23Z
• Authors: Nazabat Hussain; Mojde Hasanzade; Dag Werner Breiby; Muhammad Nadeem A...
• Keywords: Ptychography; Biorthogonal wavelet

Microscopy is going through a digital renaissance and new schemes are developed where computer algorithms constitute an integral part of the imaging process itself. Computational microscopy increases performance by offering better resolution, larger field view, quantitative contrast also reduced size, weight economic cost. Fourier Ptychographic utilizes multiple images sample taken at lower each illuminated with unique incidence angle coherent source, synthesizes one high resolution complex valued image iterative phase retrieval algorithms. The recorded often corrupted background noise pre-processing needed to improve quality FP recovered image. involves data denoising, thresholding intensity balancing. We have investigated different wavelet families test their in terms having compact support giving desired level decomposition for optimal denoising Ptychography (FP). Daubechies, Biorthogonal, Reverse Coiflet, Fejer-Korovkin, Discrete Meyer Symlet been studied. obtained threshold was used noisy synthetic experimental variety objects evaluate described framework. In particular, Biorthogonal wavelets were found preserve useful signal great extent (RMS error 0.39) low computational Consequently, quantitatively more correct amplitude uniform homogeneous could be recovered.