Hierarchical image analysis using Radon transform: an application to error concealment

In this contribution, we show how a hierarchical edge image analysis at macroblock, block and subblock levels allows identifying preminent directional image components. The analysis, performed in the Radon domain, selects the scale level at which the image features present a directional structure that can be better reconstructed by a directional spatial interpolation. When the directional information is known at the decoder side it can drive the spatial error concealment. The experimental results, referring to the case of H.264 coded video, show the significant improvement of the decoded video visual quality achievable by the described technique.