Computational Imaging Systems: From DiffuserCam to Neural Activity Tracking - Seminar 2
Explore computational imaging systems and techniques in this webinar from the IEEE Signal Processing Society's SPACE seminar series. Delve into the computational imaging pipeline, focusing on mask-based cameras and the DiffuserCam concept. Learn about multiplexing in computational cameras, compressed sensing for 3D imaging, and neural activity tracking. Examine challenges in object-dependent resolution and model mis-matching, along with proposed solutions. Compare physics-based and deep learning-based image reconstruction methods, and understand the philosophies behind inverse problem solving in computational imaging. Gain insights from Laura Waller of UC Berkeley on cutting-edge developments in the field, including unrolled physics-based algorithms and physics-based learning for improved speed and quality in image reconstruction.