Performance evaluation of enhanced error correction algorithms for efficient wireless 3D video communication systems

Abstract

SummaryIn the Three‐Dimensional Multi‐View Video (3D MVV) coding prediction structure, the coded bit‐streams may be dropped down due to error transmissions. So, it is compulsory to recover the corrupted Macro‐Blocks (MBs) at the decoder utilizing efficient Error Concealment (EC) post‐processing techniques. The EC methods exploit the temporal, inter‐view, and spatial matching among 3D MVV views and frames without any alterations in the encoder software or hardware or in the transmission rate. They retrieve the Disparity Vectors (DVs) and Motion Vectors (MVs) of the erroneous MBs. To enhance the received 3D MVV quality, we suggest several optimized schemes to reconstruct the lost and erroneous MBs of inter‐encoded and intra‐encoded frames. A hybrid method combining the Circular Scan Order Interpolation Algorithm (CSOIA) and Partitioning Motion Compensation Algorithm (PMCA) is proposed for intra‐frame EC. For inter‐corrupted MBs, a hybrid method comprising Directional Textural Motion Coherence Algorithm (DTMCA) and Directional Interpolation Error Concealment Algorithm (DIECA) is suggested. Experimental outcomes on several 3D MVV frames demonstrate that the suggested EC algorithms have more robustness to both heavily random and slice losses. They objectively and subjectively work better than the state‐of‐the‐art EC techniques. The proposed work achieves high 3D MVV quality with an improved average Peak Signal‐to‐Noise Ratio (PSNR) gain up to 2.45 to 4.55 dB compared with traditional EC algorithms at Packet Loss Rates (PLRs) of 40%.