Imaging through Atmospheric Turbulence

Overview

Imaging through atmospheric turbulence is a fundamental problem for long-range imaging systems. Purdue i2Lab has specialities in several aspects of the subject:

Wave optics theory
Turbulence simulators
Forward imaging models that can be used for deep neural networks
Image reconstruction algorithms
Object recognition

CVPR 2022 Tutorial

Date: 19 June, 2022
Instructors: Stanley Chan and Nick Chimitt

Recordings

CVPR 2021 Invited Talk

Date: 20 June, 2021
Speaker: Stanley Chan Recordings

Turbulence Simulator v1: Multi-aperture simulator

Publication:

Nicholas Chimitt and Stanley H. Chan, ‘‘Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients’’, Optical Engineering, 59(8), 083101, July 2020. (A shorter version is presented in IEEE ICCP 2020.)

Code:

MATLAB download: (URL)
Python download: (URL)
Licence: Copyright is granted for educational and research purposes. Please contact Prof Chan for licensing.

Project Page: project_turbulence_TurbSim_v1.html

Turbulence Simulator v2: Phase-to-space transform

Publication:

Zhiyuan Mao, Nicholas Chimitt and Stanley H. Chan, ‘‘Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform’’, accepted to IEEE International Conference on Computer Vision, 2021.

Code:

Python download: (URL)
Licence: Copyright is granted for educational and research purposes. Please contact Prof Chan for licensing.

Project Page: project_turbulence_TurbSim_v2.html

Turbulence Reconstruction

Publication:

Zhiyuan Mao, Nicholas Chimitt, and Stanley H. Chan, ‘‘Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence’’, IEEE Transactions on Computational Imaging, vol. 6, pp. 1415-1428, Oct. 2020.

Code:

MATLAB download: (URL)
Licence: Copyright is granted for educational and research purposes. Please contact Prof Chan for licensing.

Project Page: project_turbulence_Recon_v1.html

Single-Frame Turbulence Mitigation

Publication:

Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, and Stanley H. Chan, ‘‘Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model’’, European Conference on Computer Vision ECCV, 2022.

Code:

Download: (URL)

Tilt-then-Blur or Blur-then-Tilt

Publication:

Stanley H. Chan, ‘‘Tilt-then-Blur or Blur-then-Tilt? Clarifying the Atmospheric Turbulence Model’’, IEEE Signal Processing Letters.

Turbulence Mitigation Transformer

Publication:

Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, and Stanley H. Chan, ‘‘Imaging through the Atmosphere using Turbulence Mitigation Transformer’’, under review.