Apr 19, 2022 · In this paper, we systematically evaluate the effectiveness of various turbulence simulation methods on image restoration.
All of these methods focus on restoring facial images degraded by atmospheric turbulence. The methods [7, 3, 25] have been proposed for single image turbulence.
This paper systematically evaluates the effectiveness of various turbulence simulation methods on image restoration and provides guidance to the researchers ...
Three degradation models such as template hypothesis, defocus blur and atmospheric turbulence interference were used to simulate scattering process, and restore ...
In this paper, we systematically evaluate the effectiveness of various turbulence simulation methods on image restoration. In particular, we evaluate the ...
In this paper, we systematically evaluate the effectiveness of various turbulence simulation methods on image restoration. Face Recognition · Image Restoration.
Atmospheric turbulence deteriorates the quality of images captured by long-range imaging systems by introducing blur and geometric distortions to the ...
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png. A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. Nithin Gopalakrishnan Nair, Kangfu Mei, and Vishal M. Patel. In ...
We present a comparison of four methods (Wiener Filter (WF), Regularized Filter (RF),. Lucy-Richardson Method (LRM), Blind Deconvolution Method (BDM)), which ...
We study model-based restoration of ground-to-ground images. Such images may show strong degradations due to non-linear atmospheric turbulence effects and ...