论文标题
频率选择性外推和残留过滤以进行图像错误隐藏
Frequency selective extrapolation with residual filtering for image error concealment
论文作者
论文摘要
信号外推的目的是估算已知样品的未知信号零件。此任务对于图像和视频通信中的错误隐藏尤其重要。为了获得高质量的重建，必须对基础信号做出假设，以解决这个不确定的问题。在现有的重建算法中，频率选择性外推（FSE）通过假设图像信号可以在频域中稀疏表示，从而实现了高性能。但是，FSE未考虑自然图像的低通行率。在本文中，我们提出了一种修改的FSE，该FSE将这种先验知识考虑到建模，从而产生了显着的PSNR增益。
The purpose of signal extrapolation is to estimate unknown signal parts from known samples. This task is especially important for error concealment in image and video communication. For obtaining a high quality reconstruction, assumptions have to be made about the underlying signal in order to solve this underdetermined problem. Among existent reconstruction algorithms, frequency selective extrapolation (FSE) achieves high performance by assuming that image signals can be sparsely represented in the frequency domain. However, FSE does not take into account the low-pass behaviour of natural images. In this paper, we propose a modified FSE that takes this prior knowledge into account for the modelling, yielding significant PSNR gains.
