27 citations · 28 across the 9 of their papers we have counts for
9 papers
The Secrets of Non-Blind Poisson Deconvolution
Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan
Non-blind image deconvolution has been studied for several decades but most of the existing work focuses on blur instead of noise. In photon-limited conditions, however, the excess…
Anisoplanatic Optical Turbulence Simulation for Near-Continuous Profiles without Wave Propagation
Nicholas Chimitt, Stanley H. Chan
For the simulation of anisoplanatic optical turbulence, split-step propagation is the gold standard. Within the context of the degradations being limited to phase distortions, one…
HDR Imaging with Spatially Varying Signal-to-Noise Ratios
Yiheng Chi, Xingguang Zhang, Stanley H. Chan
While today's high dynamic range (HDR) image fusion algorithms are capable of blending multiple exposures, the acquisition is often controlled so that the dynamic range within one…
Structured Kernel Estimation for Photon-Limited Deconvolution
Yash Sanghvi, Zhiyuan Mao, Stanley H. Chan
Images taken in a low light condition with the presence of camera shake suffer from motion blur and photon shot noise. While state-of-the-art image restoration networks show promis…
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…
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…