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Spatial Error Concealment Based on Edge Visual Clearness for Image/Video Communication

机译:基于边缘视觉清晰度的图像/视频通信空间错误掩盖

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摘要

In this paper, we propose a technique for concealing missing image/video blocks based on the concept of visual clearness of an edge. A scanning procedure based on the Hough transform allows us to find the relevant edges, and the visually clearest ones are employed in an interpolation based reconstruction. Specifically, several interpolations are combined according to a set of weights which allows the reconstruction of more complex textures. These weights are derived from the visual clearness associated to an edge and are unique for every pixel within the missing macroblock. The resulting algorithm is quite efficient, simple, and competitive in comparison with other state-of-the-art techniques.
机译:在本文中,我们提出了一种基于边缘的视觉清晰度概念来隐藏丢失的图像/视频块的技术。基于霍夫变换的扫描过程使我们能够找到相关的边缘,并且在基于插值的重构中采用视觉上最清晰的边缘。具体来说,根据一组权重组合几个插值,从而可以重建更复杂的纹理。这些权重来自与边缘相关的视觉清晰度,并且对于丢失的宏块内的每个像素都是唯一的。与其他最新技术相比,生成的算法非常有效,简单且具有竞争力。

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