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Real-Time Video Postprocessing for Deblocking and Deringing on Mediaprocessors

机译:实时视频后处理,用于在媒体处理器上进行去块和去环

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Blocking and ringing are two major artifacts in highly compressed images and videos coded by block-based discrete cosine transform. Many existing deblocking and deringing algorithms are computationally very expensive and/or cannot produce satisfactory results at very low bit rates. We have developed an adaptive deblocking algorithm and a clustering-based deringing algorithm. These algorithms can smooth out the blocking and ringing artifacts while preserving the strong edges and texture areas. In addition, our postprocessing algorithms have low computational cost. We have implemented them on a commercially available, programmable processor. For an image size of 352 x 288, our algorithms take only 3.17 ms, demonstrating the feasibility of real-time video postprocessing.
机译:阻塞和振铃是通过基于块的离散余弦变换编码的高度压缩的图像和视频中的两个主要伪像。许多现有的去块和去环算法在计算上非常昂贵和/或不能以非常低的比特率产生令人满意的结果。我们已经开发了自适应去块算法和基于聚类的去斑算法。这些算法可以在保留强力边缘和纹理区域的同时消除阻塞和振铃伪影。另外,我们的后处理算法具有较低的计算成本。我们已经在市售的可编程处理器上实现了它们。对于352 x 288的图像尺寸,我们的算法仅需3.17毫秒,证明了实时视频后处理的可行性。

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