73 citations · 318 across the 25 of their papers we have counts for
8 papers · 1 filter
One Photon, Many Worlds: Posteriors and Predictions with Single-Photon Cameras
Haejoon Lee, Mohit Gupta, Vijayakumar Bhagavatula +1
Single-photon avalanche diode (SPAD) cameras operate fundamentally differently from conventional cameras due to their photon-counting nature. Each frame produces a binary image: pi…
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…
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…
A Simple Framework for 3D Lensless Imaging with Programmable Masks
Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan +1
Lensless cameras provide a framework to build thin imaging systems by replacing the lens in a conventional camera with an amplitude or phase mask near the sensor. Existing methods…
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…
Towards Occlusion-Aware Multifocal Displays
Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar +1
The human visual system uses numerous cues for depth perception, including disparity, accommodation, motion parallax and occlusion. It is incumbent upon virtual-reality displays to…
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…