In This Series

1. Coded Aperture Compressive Spectral and Temporal Imaging

   Online Presentations | 15 Apr 2013 | Contributor(s): Lawrence Carin

   In this talk we examine how modern statistical tools may be used to achieve remarkable levels of compression directly at the measurement point, with demonstrations based on new hyperspectral and video cameras. The talk will examine the fundamental mathematics and statistics, and show results...

2. Data-adaptive Filtering and the State of the Art in Image Processing

   Online Presentations | 15 Apr 2013 | Contributor(s): Peyman Milanfar

   In this talk, I will present a practical and unified framework for understanding some common underpinnings of these methods. This leads to new insights and a broad understanding of how these diverse methods interrelate. I will also discuss the statistical performance of the resulting algorithms,...

3. Integrated Imaging: Creating Images from the Tight Integration of Algorithms, Computation, and Sensors

   Online Presentations | 21 Apr 2015 | Contributor(s): Charles Addison Bouman

   This talk presents some examples of state-of-the-art integrated imaging systems based on computed tomography (CT), transmission electron microscopy (STEM), synchrotron beam imaging, optical sensing, and scanning electron microscopy (SEM). For each of these examples, we also explore their use and...

4. Computational Imaging From Nanoscopic to Astronomical Scales

   Online Presentations | 29 Jun 2017 | Contributor(s): Oliver S. Cossairt

   In this talk, I will provide an overview of computational imaging technologies under development by the NU Comp Photo Lab, covering a large span of physical scales: from the nanoscopic to the astronomic. First, I will introduce a Synthetic Aperture Visual Imaging (SAVI) technique to image at...

5. Computational Imaging for Optical Super-resolution and Source Separation

   Online Presentations | 19 Sep 2017 | Contributor(s): Aswin C. Sankaranarayanan

   I will discuss a few examples from my research including high-resolution imaging in infrared, extremely with thin form-factor cameras, and enabling post-process freedom in manipulating photographs. In each example, I will discuss research from my work on novel imaging designs and associated...

6. Imaging Sciences at the Oak Ridge National Laboratory: Identity Sciences, Advanced Manufacturing, Computational Imaging, Machine Learning, and Super Computing

   Online Presentations | 03 Jan 2019 | Contributor(s): Hector J. Santos-Villalobos

   Dr. Santos takes us on the journey of working at the Oak Ridge National Laboratory as an imaging scientist. He showcases work in the areas of Identity Sciences (i.e., biometrics), Machine Learning, and Computational Imaging. Some application to discuss are coded source neutron imaging,...

7. Unveiling Convolutional Neural Networks (CNNs) through An Interpretable Design

   Online Presentations | 03 Jan 2019 | Contributor(s): C.-C. Jay Kuo

   We attempt to unveil the working principle of simple convolutional neural networks (CNNs) through a constructive, feedforward and interpretable design in this work. A CNN is simple if it is a cascade of two networks, where the first one consists of convolutional layers and the second one contains...