Bitwise prediction error correction for Distributed Video Coding

Abstract

Side information plays a key role in the performance of a Distributed Video Coding (DVC) system. However, the generation of side information often relies on complex motion estimation/interpolation operation. The correlation between the source data and the side information, sometimes referred as virtual channel, is also very difficult to model accurately. In this paper, we propose a bitwise prediction error correction method to improve the quality of the side information during Wyner-Ziv decoding. Whenever a bit error is detected in a bit plane, the less significant bits of the corresponding pixel are adjusted to match the initial prediction. The proposed method has been evaluated using a pixel-domain DVC system and delivers a better coding performance with improved decoding quality and reduced bitrate.