Grace Kuo

I am a PhD student in the department of Electrical Engineering and Computer Science at UC Berkeley, advised by Professor Laura Waller and Professor Ren Ng. I graduated from Washington University in St. Louis in 2015 with a degree in Electrical Engineering.

My research is in computational imaging, which is the joint design of hardware and algorithms for imaging systems. I work at the intersection of optics, signal processing, computer graphics, and optimization.

email / resume


DiffuserCam: A Diffuser-Based Lensless Camera

project page / PDF / GitHub

DiffuserCam is a lensless camera made of a piece of bumpy plastic, called a diffuser, in front of a bare image sensor. Since there are no other elements in the system, the camera is cheap, compact, and easy to build. Unlike a traditional camera with a lens, the image sensor does not directly record information about the world. Instead, we computationally recover the scene from the measured data. We've demonstrated that our simple system can be used for both 2D photography and 3D image reconstruction.

Grace Kuo*, Nick Antipa*, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, and Laura Waller, "DiffuserCam: Lensless single-exposure 3D imaging," Optica 5, 1-9 (2018)

Grace Kuo*, Nick Antipa*, Ren Ng, and Laura Waller. "DiffuserCam: Diffuser-Based Lensless Cameras." Computational Optical Sensing and Imaging. Optical Society of America, 2017.

Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." Computational Optical Sensing and Imaging. Optical Society of America, 2017.

Best Demo (people's choice) at the International Conference on Computational Photography (ICCP) 2017:
DiffuserCam: A Diffuser Based Lensless Camera
Grace Kuo, Nick Antipa, Shreyas Parthasarathy, Camille Biscarrat, Ben Mildenhall, Ren Ng, and Laura Waller