REDUCING ATMOSPHERIC TURBULENCE IN IMAGES CAPTURED THROUGH CCTV IN WAR FIELD AREA

Atmospheric turbulence caused by chaotic changes in air pressure and velocity will deter Charge Coupled Devices from getting a useful image which limits the capabilities of a surveillance system. The turbulent nature of the atmosphere poses a great problem in many situations. One such area is the Military. With rising conflicts around the world, security through surveillance and reconnaissance has increased. In such a situation, videos or images captured through long range observation systems in sensitive areas across the world need to be clear and without errors. Atmospheric turbulence is mainly caused by Refractive Index variation. This variation can be across space as well as time. Though refractive index of the atmosphere is a major factor, there are other factors like – temperature, wind, pressure and humidity. The major goal of this paper is to reconstruct/repair the video/image obtained from the surveillance systems where the video/images are affected by turbulence. In this regard, we have focussed on the following aspects they are(a) Correcting the pixels and (b) Differentiating between static and dynamic objects.To achieve these objectives various solutions have been proposed based on both- mathematical and registration techniques. The registration techniques need some time during which many trial images/videos are taken in-order to construct a proper image. However, mathematical techniques involve performing complex operations in-order to achieve the correct value of the pixel. Our paper considersthe minimization of total variation in order to reduce the turbulence. It addresses the problem of turbulence in both, normal videos and thermal imaging.