Multiple Selection Extrapolation for improved spatial error concealment
Multiple Selection Extrapolation for improved spatial error concealment
复制标题
多重选择外推法改善空间错误隐藏
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
André Kaup
中科院分区：
文献类型：
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作者：
Jürgen Seiler;André Kaup
本文介绍了一种新的信号外推算法及其在图像错误隐藏中的应用。通过迭代地生成遭受失真的信号的模型来执行信号外推。因此，该模型由二维基函数的加权叠加产生，而在每个迭代步骤中，选择一组这些基函数，并将近似残差投影到它们所跨越的子空间上。该算法是对频率选择性外推法的改进，频率选择性外推法已被证明是一种有效的隐藏丢失或失真图像区域的方法。与该算法相比，新算法能够通过仍然保持非常高的外推质量来减少大于三倍的处理时间。
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.