activity
20132024
most citedPlug and play methods for magnetic resonance imaging (long version)

262 citations · 888 across the 45 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

eess.IV2022

Real-Time Dense Field Phase-to-Space Simulation of Imaging through Atmospheric Turbulence

Nicholas Chimitt, Xingguang Zhang, Zhiyuan Mao +1

Numerical simulation of atmospheric turbulence is one of the biggest bottlenecks in developing computational techniques for solving the inverse problem in long-range imaging. The c…

eess.IV2022

What Does a One-Bit Quanta Image Sensor Offer?

Stanley H. Chan

The one-bit quanta image sensor (QIS) is a photon-counting device that captures image intensities using binary bits. Assuming that the analog voltage generated at the floating diff…

eess.IV2022★ 27 cited

Tilt-then-Blur or Blur-then-Tilt? Clarifying the Atmospheric Turbulence Model

Stanley H. Chan

Imaging at a long distance often requires advanced image restoration algorithms to compensate for the distortions caused by atmospheric turbulence. However, unlike many standard re…

eess.IV2022

Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation

Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao +1

Blind deconvolution is a challenging problem, but in low-light it is even more difficult. Existing algorithms, both classical and deep-learning based, are not designed for this con…

eess.IV2022★ 1 cited

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model

Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang +1

Image restoration algorithms for atmospheric turbulence are known to be much more challenging to design than traditional ones such as blur or noise because the distortion caused by…

eess.IV2022★ 4 cited

Imaging through the Atmosphere using Turbulence Mitigation Transformer

Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt +1

Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range imaging applications. While existing deep-learning-based methods have demonstrated promis…

eess.SP2022

On the Insensitivity of Bit Density to Read Noise in One-bit Quanta Image Sensors

Stanley H. Chan

The one-bit quanta image sensor is a photon-counting device that produces binary measurements where each bit represents the presence or absence of a photon. In the presence of read…