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Zero coefficient-aware fast butterfly-based inverse discrete cosine transform algorithm

机译:基于零系数的快速基于蝴蝶的离散余弦逆变换算法

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The latest video coding standards, including Moving Picture Experts Group-4 (MPEG-4) advanced video coding (AVC)/H.264 and high-efficiency video coding (HEVC), use a discrete cosine transform (DCT) process as the core for compression efficiency, sacrificing the computational complexity at decoder. There have been a number of attempts to reduce the complexity of inverse DCT (IDCT). Butterfly-based factorisation remains the most commonly used method for such a reduction. In this study, the authors propose a zero (Z) coefficient-aware fast butterfly-based IDCT algorithm for video decoding. They focus on a reduction in the computational complexity of the butterfly-based 8 × 8 IDCT by removing the unnecessary computations of one-dimensional (1D) IDCT kernels, and adaptively applying IDCT kernels based on the number of non-Z DCT coefficients to speed-up 1D data. Their experimental results show that the average operation numbers using the proposed IDCT is approximately half that for the 8 × 8 IDCT implemented in the MPEG-4 AVC/H.264 and HEVC reference software. The improved computational complexity of the proposed method is demonstrated by measuring the running time, which requires only one-half of the IDCT time using the reference software.
机译:最新的视频编码标准,包括运动图像专家组4(MPEG-4)高级视频编码(AVC)/H.264和高效视频编码(HEVC),均以离散余弦变换(DCT)处理为核心为了提高压缩效率,牺牲了解码器的计算复杂性。已经进行了许多尝试来降低逆DCT(IDCT)的复杂性。基于蝶形的因式分解仍然是最常用的这种减少方法。在这项研究中,作者提出了一种零系数(Z)感知的基于快速蝴蝶的IDCT算法进行视频解码。他们致力于通过消除不必要的一维(1D)IDCT内核计算,并基于非Z DCT系数的数量自适应地应用IDCT内核,来降低基于蝴蝶的8×8 IDCT的计算复杂度,从而提高速度一维数据他们的实验结果表明,使用建议的IDCT的平均操作次数约为在MPEG-4 AVC / H.264和HEVC参考软件中实现的8×8 IDCT的一半。通过测量运行时间证明了所提出方法的改进的计算复杂性,使用参考软件仅需要IDCT时间的一半即可。

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