Video Distortion Alleviation Using RegionBased DT-CWT Fusion

A variety of image restoration methods have been proposed that estimate an improved image by processing a sequence of images. Restoring a scene distorted by atmospheric turbulence is a challenging problem in video surveillance. Image registration enables the geometric alignment of two images and is widely used in various applications in the fields of remote sensing, medical imaging and computer vision. In this paper, we propose a novel method for mitigating the effects of atmospheric distortion on observed images. Region of interest (ROI) for each frame is taken, in order to extract accurate detail about objects behind the distorting layer. A simple and efficient frame selection method is proposed to select informative ROIs, only from good quality frames. Each ROI should be register in order to reduce the distortion. The space varying problem can be solved by image fusion using complex wavelet transform. Finally contrast enhancement is applied