5 citations · 5 across the 10 of their papers we have counts for
7 papers · 1 filter
iHDR: Iterative HDR Imaging with Arbitrary Number of Exposures
Yu Yuan, Yiheng Chi, Xingguang Zhang +1
High dynamic range (HDR) imaging aims to obtain a high-quality HDR image by fusing information from multiple low dynamic range (LDR) images. Numerous learning-based HDR imaging met…
Quanta Video Restoration
Prateek Chennuri, Yiheng Chi, Enze Jiang +5
The proliferation of single-photon image sensors has opened the door to a plethora of high-speed and low-light imaging applications. However, data collected by these sensors are of…
Spatio-Temporal Turbulence Mitigation: A Translational Perspective
Xingguang Zhang, Nicholas Chimitt, Yiheng Chi +2
Recovering images distorted by atmospheric turbulence is a challenging inverse problem due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) algo…
Kernel Diffusion: An Alternate Approach to Blind Deconvolution
Yash Sanghvi, Yiheng Chi, Stanley H. Chan
Blind deconvolution problems are severely ill-posed because neither the underlying signal nor the forward operator are not known exactly. Conventionally, these problems are solved…
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality
Xiangyu Qu, Yiheng Chi, Stanley H. Chan
The advancement of new digital image sensors has enabled the design of exposure multiplexing schemes where a single image capture can have multiple exposures and conversion gains i…
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…
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…