基于Lagrange的H.264率失真编码优化算法

The Algorithm of H.264 Constrained Distortion Coding Optimization Based on Lagrange

为了进一步提高编码速度,促进视频编码技术在多媒体通信领域的实际应用,本文对率失真视频编码的关键算法进行了深入的研究并提出了其优化方法,并从信息论理论出发,着重围绕图像压缩的理论,利用率失真特征数学模型、拉格朗日乘子法,对目前新一代的H.264视频标准进行编码算法模式选择,试图从最根本的理论角度探讨信源编码,以便得到更高的压缩比、更好的图像质量和更快的编码速度。最后,利用本文提出的编码模式优化算法,对H.264的J M61e(JUT Test Model)系统测试模型的性能进行全面测试。

Based on the thorough study of key algorithms of constrained distortion video codec, several optimization methods are proposed in this paper to enhance the coding speed and promote the applications of video coding in actual practice. Entropy theory and image compression theory adopted, the model selection on coding algorithm of the new standards of video coding which named H. 264 is proposed based on constrained distortion feature mathematical model and lagrange multipliers. For achieving the higher compression ratio, the better picture quality and quicker coding speed, we probe into the ultimate theory on source coding. In the last of this paper, a total performance test is performed on the M61e（JUT Test Model）system test model with the method of coding model selection we proposed.