用于格式转换的相位相关分级运动补偿算法

Phase Correlation Based Hierarchical Algorithm for Video Format Conversion

提出一种基于分级架构的相位相关的混合算法。首先通过求出目标帧和参考帧分块的频域相关得到全局的运动信息 ,再以多分辨率的分级矢量校正算法产生一致运动矢量场。在诸如周期重复画面等视频的预测中 ,相位相关法能够准确预测传统块匹配搜索算法无法做到的全局运动。实现了准确估计和计算复杂度的良好平衡。实验结果表明 ,这种方法对提高预测图像信噪比和主观评价质量 ,产生用于格式转换的运动预测有显著效果。

A hybrid method is proposed and an algorithm is derived from phase plane correlation. The algorithm has a hierarchical framework. Firstly, the correlation between the target frame and the reference frame in frequency domain indicates the motion information. Then, the uniform vector field is obtained through the multiple level refinements of the vectors under different definitions. Satisfying tradeoff between accurate estimation and computation complexity is achieved with such hierarchical refinement strategy. Finally, several simulation results prove that the method is efficient in improving the SNR and subjective quality.