41 citations · 83 across the 4 of their papers we have counts for
4 papers
Attaining the quantum limit of super resolution in imaging an object's length via pre-detection spatial mode sorting
Zachary Dutton, Ronan Kerviche, Amit Ashok +1
Recent work considered the ultimate (quantum) limit of the precision of estimating the distance between two point objects. It was shown that the performance gap between the quantum…
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche +2
Traditional algorithms for compressive sensing recovery are computationally expensive and are ineffective at low measurement rates. In this work, we propose a data driven non-itera…
Fundamental limit of resolving two point sources limited by an arbitrary point spread function
Ronan Kerviche, Saikat Guha, Amit Ashok
Estimating the angular separation between two incoherently radiating monochromatic point sources is a canonical toy problem to quantify spatial resolution in imaging. In recent wor…
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga +2
The goal of this paper is to present a non-iterative and more importantly an extremely fast algorithm to reconstruct images from compressively sensed (CS) random measurements. To t…