In spatial error concealment (SEC), methods like bilinear interpolation (BI) and directional interpolation (DI) are commonly used to estimate the missing pixel values resulting from losses occurring in video streams. Despite being able to preserve spatial smoothness, BI produces a blurring effect and is unable to preserve structural information. DI produces spurious edges in regions with no strong edges, resulting in visible artefacts. In this paper, we propose a SEC algorithm that addresses the above drawbacks by formulating a weighted sum of candidate macroblocks produced from DI and BI, with weights derived adaptively through local information. We demonstrate that the proposed algorithm offers visual improvements over both DI based algorithms and the SEC algorithm based on BI in the H.264/AVC reference software JM 12.0. Most importantly, this unique approach preserves edge information and spatial smoothness in the error concealed macroblock due to the integration of both BI and DI.
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