38 citations · 91 across the 11 of their papers we have counts for
4 papers · 1 filter
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction
Abhiram Gnanasambandam, Stanley H. Chan
High dynamic range (HDR) imaging is one of the biggest achievements in modern photography. Traditional solutions to HDR imaging are designed for and applied to CMOS image sensors (…
Dynamic Low-light Imaging with Quanta Image Sensors
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun +1
Imaging in low light is difficult because the number of photons arriving at the sensor is low. Imaging dynamic scenes in low-light environments is even more difficult because as th…
Image Classification in the Dark using Quanta Image Sensors
Abhiram Gnanasambandam, Stanley H. Chan
State-of-the-art image classifiers are trained and tested using well-illuminated images. These images are typically captured by CMOS image sensors with at least tens of photons per…
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
Abhiram Gnansambandam, Stanley H. Chan
When training an estimator such as a neural network for tasks like image denoising, it is often preferred to train one estimator and apply it to all noise levels. The de facto trai…