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A Roadmap to Mitigation Techniques:Bedrock for Atmospheric Turbulence


Affiliations
1 U and PU. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India
2 U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India
3 Department of Computer Engineering, DEPSTAR, CHARUSAT, Changa, Gujarat, India
 

A momentous distortion of the scenes captured through long distances is a result of atmospheric turbulence due to changes is air refractive index. A series of different methods have been proposed to mitigate the consequences of atmospheric turbulence, enhancing the performance of imaging systems. This paper comprehends an overview to various techniques to alleviate these turbulence based on different approaches along with descriptions, working principles and challenges. The existing approaches for air turbulence are fusion based, optical flow based, phase based and latent image based techniques. This paper also describes standard dataset used for resolving turbulence mitigation issue. It also represents new ideas and innovations for mitigation of turbulence. Finally, the performance evaluation parameters such as MSE, PSNR, and SSIM are also discussed.

Keywords

Atmospheric Turbulence, Image Fusion, Long Range Video Surveillance, Optical Flow.
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  • A Roadmap to Mitigation Techniques:Bedrock for Atmospheric Turbulence

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Authors

Krina Patel
U and PU. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India
Dippal Israni
U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India
Dweepna Garg
Department of Computer Engineering, DEPSTAR, CHARUSAT, Changa, Gujarat, India

Abstract


A momentous distortion of the scenes captured through long distances is a result of atmospheric turbulence due to changes is air refractive index. A series of different methods have been proposed to mitigate the consequences of atmospheric turbulence, enhancing the performance of imaging systems. This paper comprehends an overview to various techniques to alleviate these turbulence based on different approaches along with descriptions, working principles and challenges. The existing approaches for air turbulence are fusion based, optical flow based, phase based and latent image based techniques. This paper also describes standard dataset used for resolving turbulence mitigation issue. It also represents new ideas and innovations for mitigation of turbulence. Finally, the performance evaluation parameters such as MSE, PSNR, and SSIM are also discussed.

Keywords


Atmospheric Turbulence, Image Fusion, Long Range Video Surveillance, Optical Flow.

References