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Computational Imaging

Computational imaging seeks to synergetically design both the imaging system and subsequent computational pipeline. In this context, acquisition can be thought of as an encoder that compresses the scene information onto a set of measurements. The reconstruction algorithm is then a type of decoder that outputs human or machine-interpretable images. Computational imaging plays a key role in a wide range of applications including photography, robotics, medical imaging, and remote sensing. In this tutorial, we will focus on scientific applications describing recent advances in microscopy, tomography, fluid imaging, and astronomy. While we span these very different scales, from the individual cell to the scale of a galaxy, we will highlight the similarities and show how an understanding of the underlying dynamic processes and modeling of the acquisition systems can achieve remarkable results. https://sites.google.com/view/cvpr202...