The optimization of side information generation algorithm for Wyner-Ziv video coding

Jinqing Ding, Feng Liu, Z. Gan, Changhong Chen
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引用次数: 2

Abstract

In order to improve the quality of the reconstructed Wyner-Ziv frame, based on the introduction of a basic way to generate the side information, two strategies was proposed to optimize the side information. Firstly, during the unidirectional motion estimation process, we made full use of intra-correlation and inter-frame correlation to adaptively obtain the motion search starting coordinates of the current macro-block and the size of the search window. After the bidirectional motion estimation, a motion vector smoothing method was introduced to optimize the reconstruction of the motion vector field, and to further enhance the authenticity of the motion vectors. Compared with the existing conventional interpolation algorithm, the experimental results show that the average PSNR of side information generated by the proposed method can be improved by 1.33~1.66dB, and the subjective quality of the side information is significantly improved.
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Wyner-Ziv视频编码侧信息生成算法的优化
为了提高重构Wyner-Ziv框架的质量,在介绍一种生成侧面信息的基本方法的基础上,提出了两种优化侧面信息的策略。首先,在单向运动估计过程中,充分利用帧内相关和帧间相关自适应获取当前宏块的运动搜索起始坐标和搜索窗口大小;在双向运动估计之后,引入运动矢量平滑方法对运动矢量场的重建进行优化,进一步增强运动矢量的真实性。实验结果表明,与现有的传统插值算法相比,本文方法生成的侧信息的平均PSNR可提高1.33~1.66dB,侧信息的主观质量得到显著提高。
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