Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution

TL;DR

A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence by two new algorithms based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block.

Abstract

A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group.

Figures (9)

• Figure 1: Example of images acquired by passive imagers during the NATO RTG40 campaign
• Figure 2: Result obtained by temporal median filtering.
• Figure 3: Results of the blind deconvolution algorithm with $\alpha_1=10^{-5}$ and $\alpha_2=10^{-3}$.
• Figure 4: Principle of image warping by diffeomorphism.
• Figure 5: Results of warping algorithm by diffeomorphism.