The UC Berkeley Center for Computational Imaging combines advanced physical models and novel computational techniques to see the invisible.

 

Microscopy

Joint hardware and algorithm codesign for novel types of microscopy: quantitative phase imaging, gigapixel microscopy, Fourier ptychography, 

Medical Imaging

Novel techniques for rapid and high-resolution MRI, enabling video imaging of heart, dynamic observation of flow, and more rapid acquisition. 

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Photography

Light-field photography for intelligent post-processing, refocusing, video, and virtual and agumented reality.

 
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Scalable
algorithms

Novel convex and non-convex algorithms for inverse problems, phase retrieval, and the application of machine learning to computational imaging systems.

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New languages and architectures

Applying systems, compilers and programming languages, and specialized architectures to graphics, vision, deep learning, and computational photography problems