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首页> 外文期刊>IEICE Transactions on Information and Systems >Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences
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Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences

机译:低计算后处理可抑制压缩视频序列的烦人伪像

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摘要

In this paper, we introduce a low computing post processing algorithm to simultaneously suppress blocking and ringing artifacts of compressed video sequences. A new regularization function to incorporate smoothness to neighboring pixels is defined, where the function is composed of four sub-functions combined with pixel-based data fidelity and smoothing terms. Therefore, the solution can be obtained without inverse matrix or vector-matrix computation, so that low complexity implementation is possible. In addition, the regularization parameter controlling the relative importance between the data fidelity and the degree of smoothness is estimated from the available overhead information in decoder, such as, macroblock type and quantization step size. The experimental results show the capability and efficiency of the proposed algorithm.
机译:在本文中,我们介绍了一种低计算后处理算法,可同时抑制压缩视频序列的阻塞和振铃伪影。定义了一个新的正则化函数,将平滑度合并到相邻像素中,其中该函数由四个子函数组成,这些子函数结合了基于像素的数据保真度和平滑项。因此,无需逆矩阵或向量矩阵计算就可以得到解决方案,从而可以实现低复杂度。另外,控制数据保真度与平滑度之间的相对重要性的正则化参数是根据解码器中可用的开销信息(例如宏块类型和量化步长)估算的。实验结果表明了该算法的有效性。

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