Computational Imaging with Self-Interference

Interferometry records the relative phase between incident light and a reference beam. Since phase encodes the path information of the scene, it can be applied to tasks including 3D imaging or undoing effects of scattering. However, a reference beam requires a controllable external light source, which is not always available in many applications. The self-interference technique is one variant of interferometry that does not require a reference beam. In this thesis, we show that combining self-interference and computational imaging methods can improve phase-related tasks, including wavefront sensing, imaging fluorescent targets behind tissue, and passive textureless 3D reconstruction. For wavefront sensing, one of the classical results is phase-shifting point diffraction interferometry, where the phase of a wavefront is measured by interfering it with a planar reference created from the incident wave itself. The limiting drawback of this approach is that the planar reference, often crea

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• Esther Lin