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Computational Imaging: a Quest for the Perfect Image


Chung, Jaebum (2019) Computational Imaging: a Quest for the Perfect Image. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8W3A-HE02.


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.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Fourier ptychographic microscopy, FPM, computational aberration correction, deconvolution, phase retrieval, retinal imaging, wide field of view imaging
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Electrical Engineering
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Yang, Changhuei
Thesis Committee:
  • Wang, Lihong (chair)
  • Yang, Changhuei
  • Shapiro, Mikhail G.
  • Hassibi, Babak
  • Zheng, Guoan
Defense Date:1 May 2019
Non-Caltech Author Email:jaebum (AT)
Funding AgencyGrant Number
NIHR21 EY026228A
NIHR01 AI096226
Caltech Innovation Initiative (CI2) Research Grant.25570015
Department of Defense (DOD)W81XWH-09-1-0050
Record Number:CaltechTHESIS:05202019-151055724
Persistent URL:
Related URLs:
URLURL TypeDescription adapted for ch. 3 adapted for ch. 4 adapted for ch. 5
Chung, Jaebum0000-0003-3932-8428
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:11525
Deposited By: Jaebum Chung
Deposited On:23 May 2019 16:09
Last Modified:08 Nov 2023 18:41

Thesis Files

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