论文标题
快速图像和视频信号外推的复杂频率选择性外推
Complex-Valued Frequency Selective Extrapolation for Fast Image and Video Signal Extrapolation
论文作者
论文摘要
信号外推任务以图像和视频信号处理领域的其他方式出现。但是，由于低功率和移动设备的广泛使用，算法的计算复杂性在选择给定问题的算法中起着至关重要的作用。在此贡献的范围内，我们介绍了快速图像和视频信号外推的复杂频率选择性外推。该算法迭代地生成了信号的通用复合物值模型，该模型被用作傅立叶基函数的加权叠加。我们进一步表明，该算法的速度比现有的实价选择性外推的速度要快10倍，该算法选择性推断将输入信号在模型生成过程中考虑到了实用值。同时，由复杂价值的模型生成可以达到的质量与实价型号生成的质量相似。
Signal extrapolation tasks arise in miscellaneous manners in the field of image and video signal processing. But, due to the widespread use of low-power and mobile devices, the computational complexity of an algorithm plays a crucial role in selecting an algorithm for a given problem. Within the scope of this contribution, we introduce the complex-valued Frequency Selective Extrapolation for fast image and video signal extrapolation. This algorithm iteratively generates a generic complex-valued model of the signal to be extrapolated as weighted superposition of Fourier basis functions. We further show that this algorithm is up to 10 times faster than the existent real-valued Frequency Selective Extrapolation that takes the real-valued nature of the input signals into account during the model generation. At the same time, the quality which is achievable by the complex-valued model generation is similar to the quality of the real-valued model generation.
