Error locating for plausible Wyner-Ziv video coding using turbo codes

Distributed video coding (DVC, Wyner-Ziv coding) gained a lot of interest in this research decade. The major application of DVC is low complexity video encoding, which is well investigated in the literature. Generally, a distributed video coding system uses a feedback channel for rate control, otherwise the data send cannot be used for improved reconstruction quality in most cases. The feedback channel is the biggest handicap of DVC for most real world scenarios. In this paper, we are studying image reconstruction techniques, to benefit from all data received, also in cases where the conventional Slepian-Wolf (SW) decoding fails. Therefore, we propose error locating coding (ELC) and subsequent image inpainting (ImIp) as new Wyner-Ziv decoding method. ELC and inpainting do not rely on a feedback channel, hence enabling feedback channel free decoding. Simulation results show, that the proposed approaches improve the PSNR by 1dB. Furthermore, no transmission overhead is introduced due to the ELC.