一种适用于H.264/AVC的新型整数变换与量化算法
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西北工业大学电子信息学院,西北工业大学电子信息学院,西北工业大学电子信息学院

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国家自然科学基金(60902101);西北工业大学基础研究基金(JC200913)


A New Integer Transform and Quantization Algorithm for H.264/AVC
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School of Electronics and Information,Northwestern Polytechnical University,,School of Electronics and Information,Northwestern Polytechnical University,,School of Electronics and Information,Northwestern Polytechnical University,

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    摘要:

    H.264/AVC中4*4整数变换和分级量化技术对编码性能的大幅度提升起到很重要的作用,但另一方面整数变换和分级量化在编解码器中占有24%的计算复杂度。本文根据4*4 残差数据块、4*4 亮度DC 系数块和2*2 色度DC 系数块整数变换的特点,提出了一种基于全零模块预判的变换与量化选择算法,通过对各种全零模块进行准确的预测从而省略对应块的变换与量化过程,达到减小计算量、简化编解码器复杂度的目的。实验结果表明,与全模式算法相比,在造成视频质量少量下降的情况下运算量减少了大约21.29%。

    Abstract:

    Integer transform and quantization play very important role on the improving of encoding performance in H.264/AVC. As the motion estimation is improved, the portion of the transform and quantization becomes approximately 24% of the total computations. This cannot be neglected for the realization of the encoder. Therefore, it is meaningful to develop the efficient transform and quantization for fast encoding. An improved algorithm for the transform and quantization based on the early detection of all-zero blocks in H.264/AVC video encoding is proposed in this paper. According to the characteristic of 4*4 integer block , 4*4 luma DC coefficients and 2*2 chroma DC coefficients, all-zero blocks can be detected and integer transform and quantization are skipped for the all-zero blocks. The simulation results show that the proposed algorithm achieves approximately 21.29% computational saving with little video quality degradation, compared to the conventional method.

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周欣,段哲民,周巍.一种适用于H.264/AVC的新型整数变换与量化算法[J].数据采集与处理,2011,26(6):

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历史
  • 收稿日期:2011-02-26
  • 最后修改日期:2011-03-18
  • 录用日期:2011-04-27
  • 在线发布日期: 2012-07-11