A HYBRID APPROACH FOR ERROR CONCEALMENT IN STEREOSCOPIC IMAGES

Abstract

Error concealment for stereoscopic images receives little attention in research of image processing. While many methods have been proposed for monocular images, this paper considers a concealment strategy for block loss in stereoscopic image pairs, utilizing the information of the associated image to fulfill the higher quality demand. We present a hybrid approach, combining a 2D projective transformation and a monoscopic error concealment technique. Pixel values from the associated stereo image are warped to their corresponding positions in the lost block. To reduce discontinuities at the block borders, a monoscopic error concealment algorithm with low-pass properties is integrated. The stereoscopic depth perception is much less affected in our approach than using only monoscopic error concealment techniques.