ENHANCING VIDEO DEBLURRING USING EFFICIENT FOURIER AGGREGATION-A REVIEW

The goal of video deblurring is to remove the blurrness from blurry videos caused due to camera shake and object motion during exposure.Video deblurring is performed by monitoring videos spatial and temporal changes during video sequences.While most existing algorithms are able to deblur the videos well in controlled environment,they usually fail in the presence of significant variation of the object's motion.There is still a need of better a algorithm for deblurring the videos in an effective manner.We propose a efficient video deblurring technique to handle the blurs due to shaky camera and complex motion blurs due to moving objects.A brief survey of different video deblurring methods available in the literature including analysis and comparative study of different techniques used for deblurring has been done.