论文标题
快速正交性缺乏补偿改善频率选择性图像外推
Fast orthogonality deficiency compensation for improved frequency selective image extrapolation
论文作者
论文摘要
本文的目的是引入一种非常有效的信号外推算法。它可以在图像和视频通信中的许多应用中广泛使用。 g。用于隐藏由传输错误引起的块错误或在视频编码中预测。信号外推是通过将来自有限数量的已知样品扩展到这些样品以外的区域的信号来执行的。因此，使用了一组有限的正交基函数，并将信号的已知部分投射到它们上。由于基本函数在已知样品的面积上不是正交的，因此投影不会导致基本函数具有信号的实际部分。提出的算法有效地应对这种非正交性，从而为边缘，光滑区域以及结构化区域带来了很好的客观和视觉外推结果。与存在的实施相比，该算法的计算复杂性明显降低而没有任何质量降解。处理时间可以减少大于100的因素。
The purpose of this paper is to introduce a very efficient algorithm for signal extrapolation. It can widely be used in many applications in image and video communication, e. g. for concealment of block errors caused by transmission errors or for prediction in video coding. The signal extrapolation is performed by extending a signal from a limited number of known samples into areas beyond these samples. Therefore a finite set of orthogonal basis functions is used and the known part of the signal is projected onto them. Since the basis functions are not orthogonal regarding the area of the known samples, the projection does not lead to the real portion a basis function has of the signal. The proposed algorithm efficiently copes with this non-orthogonality resulting in very good objective and visual extrapolation results for edges, smooth areas, as well as structured areas. Compared to an existent implementation, this algorithm has a significantly lower computational complexity without any degradation in quality. The processing time can be reduced by a factor larger than 100.
