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Modified adaptive interpolation filtering algorithms in video coding

机译:视频编码中的改进自适应插值滤波算法

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In this paper, we propose two algorithms to improve the rate-distortion performance and reduce the computational complexity, respectively. Due to the observation that content does not change dramatically from frame to frame in majority of cases and the effect of aliasing stays almost constant between consecutive frames, we assume that adaptive filters for the previous frame could accurately compensate the effect of aliasing for the current frame. In the first proposed algorithm, the interpolation filters are initialized with the adaptive filters for the previous frame instead of static ones. The second encoding pass of the existing adaptive filtering schemes is eliminated conditionally in our second algorithm. Experimental results show that our first algorithm produces significant bit-rate reduction (3.23% on average), while maintaining the same level of peak-signal-to-noise-ratio (PSNR). The execution time is reduced about 26.73% by the second algorithm, compared to KTA.
机译:在本文中,我们提出了两种算法来分别提高码率失真性能和降低计算复杂度。由于观察到的内容在大多数情况下在帧之间不会发生显着变化,并且在连续帧之间混叠的影响几乎保持恒定,因此我们假设前一帧的自适应滤波器可以准确地补偿当前帧的混叠的影响。 。在第一个提出的算法中,插值滤波器使用前一帧的自适应滤波器而不是静态帧进行初始化。现有的自适应滤波方案的第二次编码遍历在我们的第二种算法中有条件地消除了。实验结果表明,我们的第一种算法可显着降低比特率(平均降低3.23%),同时保持相同的峰值信噪比(PSNR)水平。与KTA相比,第二种算法的执行时间减少了约26.73%。

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