A burst-error concealment algorithm with selective spatial interpolation for visual communications over noisy channels

Error concealment is important for video transmission over noisy channels. This paper presents a new spatial error concealment algorithm with low complexity to recover the lost information corrupted by channel errors, especially by burst errors, which are very common in noisy channels. Firstly, we detect the edge components in neighboring boundary pixels surrounding the corrupted macroblock (MB) group. Then for every MB in the corrupted MB group, we can judge which edges may have affected this MB. Finally, each pixel in this MB can be interpolated from boundary pixels according to the corresponding edges. Experimental results show that our low complexity algorithm is capable of restoring high-frequency (edge) information as well as low-frequency information corrupted by channel errors, especially by burst errors, and provides better performance compared with conventional methods