4-D frequency selective extrapolation for error concealment in multi-view video

Practical applications for multi-view video such as three-dimensional television may require to transmit the data over error-prone channels. Even when channel coding is used, it is likely that parts of the image information are lost after decoding. To improve the image quality in this case, an efficient algorithm for multi-view error concealment is presented. Extending and enhancing a previously known method for single-view concealment, the algorithm simultaneously uses information from surrounding image parts, from temporally preceding and succeeding frames and from neighbouring camera views for extrapolating known image samples into the lost area. It is shown that the proposed algorithm leads to convincing results in terms of PSNR as well as to a good subjective quality. Compared to single-view concealment, the result is improved by up to 0.75 dB by adding cross-view information.