Jitter removal in images and video sequences using robust decision based adaptive spatio temporal median algorithm

Line jitter due to loss of horizontal synchronization from a noisy video source is a particular video artifact. Line jittering or random horizontal displacements of lines in video images occur when the synchronization signals are corrupted in video storage media, or by electromagnetic interference in wireless video transmission which results in a vertical rolling effect in the digitized video. It is however a curious problem which gives rise to some interesting algorithms. A non-linear algorithm based on detection and estimation technique for restoration of video sequences corrupted by jitter is proposed. The algorithm presented here relies on first applying median filter and then adaptive median filtering on the jittered images. The removal of these artifacts is achieved without destroying important image features like edges and details. The concept is extended for the video sequences. A fast block-matching algorithm based on variable shape search is used for the video sequences and finally temporal filtering is applied to this to obtain the restores video sequence. The proposed algorithm produces better results visually and also video quality indexes, SSIM, PSNR are better compared to the different image sequences restoration algorithms.