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Deblocking Filter Algorithm with Low Complexity for H.264 Video Coding

机译:低复杂度的H.264视频编码解块滤波器算法

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In H.264, block-based discrete cosine transform (DCT) and block-based motion compensated prediction are used to reduce both spatial and temporal redundancies. Due to the block-based coding, discontinuities at block boundaries, referred to blocking artifacts are created. To reduce these blocking artifacts, H.264 employs a deblocking filter. However, it causes a significant amount of complexity; therefore, the deblocking filter occupies one-third of the computational complexity of the decoder. In this paper, we propose a deblocking filtering algorithm with low complexity. Using boundary strength (BS) of the first Line-of-Pixel (LOP), we determine BS of successive LOP in advance. Then, we apply deblocking filters including newly designed filters. Experimental results show that the proposed algorithm provides an average computations reduction of 73.45 % in the BS decision. In the filter implementation, it reduces an average 57.52 % of additions, 100 % of multiplications, and 5.66 % of shift operations compared to the deblocking filter in H.264 with comparable objective quality.
机译:在H.264中,使用基于块的离散余弦变换(DCT)和基于块的运动补偿预测来减少空间和时间上的冗余。由于基于块的编码,在块边界处创建了不连续性,称为块伪像。为了减少这些阻塞伪像,H.264使用了一个去块滤波器。但是,这会导致大量的复杂性。因此,去块滤波器占据解码器的计算复杂度的三分之一。在本文中,我们提出了一种低复杂度的去块滤波算法。使用第一像素线(LOP)的边界强度(BS),我们可以预先确定连续LOP的BS。然后,我们应用包括新设计的滤镜在内的解块滤镜。实验结果表明,该算法在BS决策中平均减少了73.45%的计算量。在滤波器实现中,与H.264中具有可比目标质量的解块滤波器相比,它平均减少了57.52%的加法,100%的乘法和5.66%的移位运算。

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