Mixture resolution format is an important representation method in multi-view video coding to reduce the bit rate. To obtain the same spatial and temporal image/video resolution scale in the low resolution view, a novel super resolution method is presented. The cracks of the warped reference high resolution frame are restored by non-uniform sampling principle, and the holes of that are filled with the corresponding regions of the low resolution frame. Then, based on the reverse hole filling method and 2D Discrete Cosine Transform (DCT) image fusion, the high frequency components, which are fetched from the warped reference high resolution frame, are merged into the low resolution view to construct the output high resolution frame. Experimental results show that the proposed method outperforms the traditional up-sampling and DCT-based up-sampling methods.%混合分辨率模型是多视角视频编码用来降低比特率的一种重要描述方法，本文提出了一种新的实现图像/视频序列的超分辨方法。在多视角框架中，使用相邻高分辨图像的高频信息对当前视角的低分辨图像进行高频成分补充，从而实现超分辨。邻域高分辨图像帧的投影图包含裂纹，本文使用了非均匀采样复原理论对其进行了修复，投影图中的其它空洞则由原始低分辨图像帧的上采样图像进行了填充。接着使用空洞填充反变换方法以及DCT 离散余弦变换对图像进行频率分解，将投影图的高频成分与原始低分辨图像的低频成分进行融合，再经过IDCT 离散余弦反变换即得到了最终的超分辨图像。实验仿真数据结果表明，该方法得到的超分辨图像比传统的插值上采样图像以及基于DCT的上采样图像无论是主观和客观评价，均有明显的改善。
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