PhD Thesis Defense
Moore 239
Computational Imaging: a Quest for the Perfect Image
Jaebum Chung,
Graduate Student,
Electrical Engineering,
California Institute of Technology,
A physical lens is limited in its ability to capture an image that is both high-resolution and wide-field due to aberrations even with a sophisticated lens design. This thesis explores computational methods that expand on the recently developed Fourier ptychographic microscopy (FPM) to overcome the physical limitations. New algorithms and imaging methods extend the computational aberration correction to more general imaging modalities including fluorescence microscopy and incoherent bright-field imaging so as to allow even a crude lens to perform like an ideal lens. This paradigm shift from the lens design to computational algorithms democratizes high-resolution imaging by making it easier to use and less complicated to build.
For more information, please contact Tanya Owen by phone at 626-395-8817 or by email at [email protected].
Event Series
Thesis Seminar
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