Integrated Imaging Seminar Series

By Charles Addison Bouman

Electrical and Computer Engineering, Purdue University, West Lafayette, IN



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Integrated imaging seminar series is jointly sponsored by the Birck Nanotechnology Center and ECE. Integrated Imaging is defined as a cross-disciplinary field combining sensor science, information processing, and computer systems for the creation of novel imaging and sensing systems. In this seminar series, we bring top researchers from engineering and sciences to present the latest advances in field.

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Researchers should cite this work as follows:

  • Charles Addison Bouman (2013), "Integrated Imaging Seminar Series,"

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Birck Nanotechnology Building, Purdue University, West Lafayette, IN


In This Series

  1. Coded Aperture Compressive Spectral and Temporal Imaging

    15 Apr 2013 | Online Presentations | 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

    15 Apr 2013 | Online Presentations | 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

    21 Apr 2015 | Online Presentations | 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

    29 Jun 2017 | Online Presentations | 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

    19 Sep 2017 | Online Presentations | 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

    03 Jan 2019 | Online Presentations | 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, non-ideal...

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

    03 Jan 2019 | Online Presentations | 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...