12 citations · 30 across the 3 of their papers we have counts for
7 papers
Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
This paper describes a coded aperture and keyed exposure approach to compressive video measurement which admits a small physical platform, high photon efficiency, high temporal res…
Poisson noise reduction with non-local PCA
Joseph Salmon, Zachary Harmany, Charles-Alban Deledalle +1
Photon-limited imaging arises when the number of photons collected by a sensor array is small relative to the number of detector elements. Photon limitations are an important conce…
Spatio-temporal Compressed Sensing with Coded Apertures and Keyed Exposures
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
Optical systems which measure independent random projections of a scene according to compressed sensing (CS) theory face a myriad of practical challenges related to the size of the…
Performance bounds for expander-based compressed sensing in Poisson noise
Maxim Raginsky, Sina Jafarpour, Zachary Harmany +3
This paper provides performance bounds for compressed sensing in the presence of Poisson noise using expander graphs. The Poisson noise model is appropriate for a variety of applic…
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice
Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Gau…
Compressed sensing performance bounds under Poisson noise
Maxim Raginsky, Rebecca M. Willett, Zachary T. Harmany +1
This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative intensitie…