262 citations · 888 across the 45 of their papers we have counts for
8 papers · 1 filter
Physics-Driven Turbulence Image Restoration with Stochastic Refinement
Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan +1
Image distortion by atmospheric turbulence is a stochastic degradation, which is a critical problem in long-range optical imaging systems. A number of research has been conducted d…
Computational Image Formation: Simulators in the Deep Learning Era
Stanley H. Chan
At the pinnacle of computational imaging is the co-optimization of camera and algorithm. This, however, is not the only form of computational imaging. In problems such as imaging t…
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…
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…
Towards Understanding the Effect of Pretraining Label Granularity
Guan Zhe Hong, Yin Cui, Ariel Fuxman +2
In this paper, we study how the granularity of pretraining labels affects the generalization of deep neural networks in image classification tasks. We focus on the "fine-to-coarse"…
Scattering and Gathering for Spatially Varying Blurs
Nicholas Chimitt, Xingguang Zhang, Yiheng Chi +1
A spatially varying blur kernel is specified by an input coordinate and an output coordinate .…