ACM154

Course project, ACM 154

Phase estimation algorithm is developed based on the work by Wu et. al [1].

Tengfei Wu, Ori Katz, Xiaopeng Shao, and Sylvain Gigan, Opt. Lett. 41, 5003-5006 (2016)

To run the Kalman filter based phase estimation algorithm, please download the files provided here: https://dx.doi.org/10.6084/m9.figshare.3593370.v1 (Required files: Digit 4 experimental data.tif & PolarToCartesian.m)

In speckle correlation imaging [2-3], the unkown object is required to be smaller than the memory effect range [4]. This is a prior we can use to obtain a better phase estimate. Here, we improved the phase estimate of Bispecturm Analysis by cooperating with such prior on the object size with the help of Kalman filter. Speed is improved as well.

1. Wu, T., Katz, O., Shao, X. & Gigan, S. Single-shot diffraction-limited imaging through scattering layers via bispectrum analysis. Opt. Lett. 41, 5003-5006 (2016)
2. Bertolotti, J. et al. Non-invasive imaging through opaque scattering layers. Nature 491, 232–234 (2012).
3. Katz, O., Heidmann, P., Fink, M. et al. Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations. Nature Photon 8, 784–790 (2014).
4. Freund, I., Rosenbluh, M. & Feng, S. Memory effects in propagation of optical waves through disordered media. Phys. Rev. Lett. 61, 2328–2331 (1988).