Esther Lin 林詠惠

I am a 2nd year Computer Science PhD student at the University of Toronto co-advised by Kyros Kutulakos and David Lindell.

My research interests include optics, computational imaging, computational photography, and sensing hardware. I primarily work on co-designing imaging systems and algorithms for sub-diffraction imaging.

I have interned with Marc Levoy's NextCam computational photography group at Adobe (2021-2022) and Tesla’s sensors team (2020). Previously, I completed a MSc (2022) in Computer Science at the University of Toronto and a BASc (2020) in Engineering Physics at the University of British Columbia.



Coherent Super-Oscillatory Imaging
Esther Y. H. Lin, Haitang Yang, Yitian Liu, George V. Eleftheriades, David B. Lindell, Kiriakos N. Kutulakos
ongoing, 2023
A theory for coherent super-oscillatory imaging.
Learning Lens Blur Fields
Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos
in submission, 2023
The lens blur field is a neural representation for modelling optical blur.
Haitang Yang, Esther Y. H. Lin, Kiriakos N. Kutulakos, George V. Eleftheriades
Optica, 2022
A theory for incoherent super-oscillatory image formation generalized to any system of lenses for easy integration with existing microscopic or telescopic modalities.
Haitang Yang, Esther Y. H. Lin, Kiriakos N. Kutulakos, George V. Eleftheriades
ACS Photonics, 2021
Design constraints for super-oscillatory point spread functions can be significantly relaxed in an incoherent system with the convolutional-based image formation model.




Procrastinating at my desk
An ongoing dump for fun projects :)
Coding Club
A collection of drawings and animations my students and I have made in Coding Club @ Richmond City Centre Community Centre.
CAD Models for Imaging
A collection of generic components for rendering optical setups. My brother Sam has a more diverse collection.


Updated Sept 3 2022
Thanks, Rebecca for the template!