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.
Keyword :
Atmospheric turbulence, Image fusion, Long range video Surveillance,Optical flow