17 citations · 34 across the 8 of their papers we have counts for
12 papers
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery
Chao Wang, Robert Plemmons, Sudhakar Prasad +2
An optical imager that exploits off-center image rotation to encode both the lateral and depth coordinates of point sources in a single snapshot can perform 3D localization and tra…
On bayesian estimation and proximity operators
Rémi Gribonval, Mila Nikolova
There are two major routes to address the ubiquitous family of inverse problems appearing in signal and image processing, such as denoising or deblurring. A first route relies on B…
A characterization of proximity operators
Rémi Gribonval, Mila Nikolova
We characterize proximity operators, that is to say functions that map a vector to a solution of a penalized least squares optimization problem. Proximity operators of convex penal…
A Convex Model for Edge-Histogram Specification with Applications to Edge-preserving Smoothing
Kelvin C. K. Chan, Raymond H. Chan, Mila Nikolova
The goal of edge-histogram specification is to find an image whose edge image has a histogram that matches a given edge-histogram as much as possible. Mignotte has proposed a non-c…
A two-stage method for spectral-spatial classification of hyperspectral images
Raymond H. Chan, Kelvin K. Kan, Mila Nikolova +1
This paper proposes a novel two-stage method for the classification of hyperspectral images. Pixel-wise classifiers, such as the classical support vector machine (SVM), consider sp…
Non-convex optimization for 3D point source localization using a rotating point spread function
Chao Wang, Raymond Chan, Mila Nikolova +2
We consider the high-resolution imaging problem of 3D point source image recovery from 2D data using a method based on point spread function (PSF) engineering. The method involves…