18 citations · 63 across the 14 of their papers we have counts for
9 papers · 1 filter
Broadband Wide Field of View Imaging with Computational Mirrors
Vishwanath Saragadam, Niki Nezakati, Amit Roy-Chowdhury +1
Traditional glass-based optics are typically optimized for narrow spectral bands, such as the visible (400-700nm) or shortwave infrared (1000-1800nm). While the emergence of VIS-SW…
Provable and Robust Wavefront Sensing via Self-Reference Interferometry
Nebiyou Yismaw, Vishwanath Saragadam, Aswin C. Sankaranarayanan +1
Wavefront sensing involves estimating the phase and intensity of light, enabling a wide range of imaging applications, from adaptive optics and astronomy to biomedical imaging. Sin…
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
PSF: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing
Bhargav Ghanekar, Vishwanath Saragadam, Dushyant Mehra +3
We propose a compact snapshot monocular depth estimation technique that relies on an engineered point spread function (PSF). Traditional approaches used in microscopic super-resolu…
Thermal Image Processing via Physics-Inspired Deep Networks
Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan +1
We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation. Our key enabling obser…
SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging
Vishwanath Saragadam, Michael DeZeeuw, Richard Baraniuk +2
We introduce a novel video-rate hyperspectral imager with high spatial, and temporal resolutions. Our key hypothesis is that spectral profiles of pixels in a super-pixel of an over…
On Space-spectrum Uncertainty Analysis for Coded Aperture Systems
Vishwanath Saragadam, Aswin Sankaranarayanan
We introduce and analyze the concept of space-spectrum uncertainty for certain commonly-used designs for spectrally programmable cameras. Our key finding states that, it is impossi…
Programmable Spectrometry -- Per-pixel Classification of Materials using Learned Spectral Filters
Vishwanath Saragadam, Aswin C. Sankaranarayanan
Many materials have distinct spectral profiles. This facilitates estimation of the material composition of a scene at each pixel by first acquiring its hyperspectral image, and sub…
KRISM --- Krylov Subspace-based Optical Computing of Hyperspectral Images
Vishwanath Saragadam, Aswin C. Sankaranarayanan
We present an adaptive imaging technique that optically computes a low-rank approximation of a scene's hyperspectral image, conceptualized as a matrix. Central to the proposed tech…