基于JND的H.264编码模式选择算法

An H.264 Encode Mode Decision Algorithm Based on JND

  • 摘要: 提出了一种基于JND模型的H.264编码模式选择算法, 使用改进的基于DCT域的JND计算模型, 同时考虑了时空域CSF、亮度自适应调节、带内/带间掩蔽等因素, 对编码过程中产生的预测残差进行JND阀值计算; 在率失真计算过程中, 通过去除不可察觉的冗余系数进行主观质量优化. 实验结果表明, 在不影响视频主观质量的前提下, 该算法明显降低了编码产生的数据量, 提高了编码效率.

     

    Abstract: Classic R-D optimized algorithms, which use the objective image quality as distortion assessment standard, do not consider the effect produced by human visual system (HVS). This paper proposes an H.264 encode mode decision algorithm based on just-noticeable distortion (JND) model. The R-D values in coding process are calculated by using modified DCT-based JND model, incorporating the spatio-temporal contrast sensitivity function, luminance adaptation, and intra- and inter-band contrast masking. The redundant coefficients which can't be noticeable are removed to optimize the subjective quality. The simulation results show that under same subjective quality, the proposed algorithm can obviously reduce the production of bit-rate and hence improve the coding efficiency.

     

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