论文标题
多次选择外推，以改善空间错误隐藏
Multiple Selection Extrapolation for Improved Spatial Error Concealment
论文作者
论文摘要
该贡献引入了一种新型的信号外推算法及其在图像误差隐藏中的应用。信号外推是通过迭代产生失真的信号模型进行的。因此，该模型是由二维基函数的加权叠加产生的，而在每个迭代步骤中，选择了其中一组，并且将近似值残留投影到它们跨越的子空间上。该算法是对频率选择性外推的改进，事实证明是隐藏丢失或扭曲的图像区域的有效方法。与该算法相比，新型算法能够通过保持非常高的外推质质量来减少大于三个因素的处理时间。
This contribution introduces a novel signal extrapolation algorithm and its application to image error concealment. The signal extrapolation is carried out by iteratively generating a model of the signal suffering from distortion. Thereby, the model results from a weighted superposition of two-dimensional basis functions whereas in every iteration step a set of these is selected and the approximation residual is projected onto the subspace they span. The algorithm is an improvement to the Frequency Selective Extrapolation that has proven to be an effective method for concealing lost or distorted image regions. Compared to this algorithm, the novel algorithm is able to reduce the processing time by a factor larger than three, by still preserving the very high extrapolation quality.
