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An Efficient Multi-resolution Video Compression Approach with Inpainting Algorithm

机译:修复算法的高效多分辨率视频压缩方法

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This study carves out a way to video coding that is motivated by the recent advancement in video inpainting. In the proposed video coding approach, the regions are mainly divided into two types namely, Local Motion Region and Global Motion Region. The regions are removed by using block based motion estimation in Local Motion Regions and the method of texture synthesis is used for obtaining the removed regions. Shearlet p- Laplacian based Partial Differential Equation (PDE) inpainting is carried out to recover the removed regions in Global Motion Regions. In both regions, Exemplar Selection (Region Removal) Process is based on the edges extracted from the input region. Wavelets like curvelets and contourlets are not very efficient when dealing with edges in multidimensional signals. In this study, a Discrete Shearlet Transform (DST) is used for edge detection. Using DST helps to improve the overall compression performance together with the Shearlet p-Laplacian based inpainting and texture synthesis Schemes. The Scheme has been integrated into H.264/AVC and achieves better bit rate saving.
机译:这项研究开辟了一种视频编码方法,该方法受最近视频修复技术的推动。在提出的视频编码方法中,区域主要分为两种类型,即局部运动区域和全局运动区域。通过在局部运动区域中使用基于块的运动估计来去除区域,并且使用纹理合成的方法来获得去除的区域。进行基于Shearlet p-Laplacian的偏微分方程(PDE)修补,以恢复全局运动区域中的已删除区域。在这两个区域中,示例选择(区域去除)过程基于从输入区域中提取的边缘。当处理多维信号中的边缘时,像curvelet和contourlet这样的小波不是很有效。在这项研究中,离散Shearlet变换(DST)用于边缘检测。与基于Shearlet p-Laplacian的修补和纹理合成方案一起使用DST有助于改善整体压缩性能。该方案已集成到H.264 / AVC中,可以更好地节省比特率。

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