The UC Berkeley Center for Computational Imaging combines advanced physical models and novel computational techniques to see the invisible.
Joint hardware and algorithm codesign for novel types of microscopy: quantitative phase imaging, gigapixel microscopy, Fourier ptychography,
Novel techniques for rapid and high-resolution MRI, enabling video imaging of heart, dynamic observation of flow, and more rapid acquisition.
Light-field photography for intelligent post-processing, refocusing, video, and virtual and agumented reality.
Novel convex and non-convex algorithms for inverse problems, phase retrieval, and the application of machine learning to computational imaging systems.
New languages and architectures
Applying systems, compilers and programming languages, and specialized architectures to graphics, vision, deep learning, and computational photography problems