In this paper we combine video compression and modern image processing methods. Iterative filter methods for prediction signals based on classic inpainting methods are introduced and extensive parameter tests are described. In order to construct an alternative prediction filter for video coding, techniques originally employed for inpainting are applied. Thereby, the structures of the underlying prediction were incorporated into the filter construction making it signal adaptive. The resulting optimization problem is solved using the so-called Alternating Direction Method of Multipliers (ADMM). The undertaken novel parameter tests are described and it is shown that they improve the coding efficiency of the tool. The suggested filter is embedded into a software based on HEVC with additional QTBT (Quadtree plus Binary Tree) and MTT (Multi-Type-Tree) block structure. Overall, the proposed filter method obtains average bitrate savings of 1.35% at an average encoder runtime increase of 28% and decoder runtime increase of 38%. UHD test sequences achieve bitrate savings of up to 3.66% for Random Access.

中文翻译：

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基于方向总变化的视频编码信号自适应预测滤波器：数学框架和参数选择

在本文中，我们结合了视频压缩和现代图像处理方法。介绍了基于经典修复方法的预测信号迭代滤波方法，并介绍了广泛的参数测试方法。为了构造用于视频编码的替代预测滤波器，应用了最初用于修复的技术。因此，基础预测的结构被合并到滤波器结构中，使其具有信号适应性。使用所谓的乘数交替方向方法（ADMM）解决了由此产生的优化问题。描述了所进行的新颖参数测试，结果表明它们提高了工具的编码效率。建议的过滤器嵌入到基于HEVC的软件中，该软件具有其他QTBT（四叉树加二叉树）和MTT（多类型树）块结构。总体而言，所提出的滤波器方法在平均编码器运行时间增加28％和解码器运行时间增加38％的情况下平均节省了1.35％的比特率。UHD测试序列可为随机访问节省高达3.66％的比特率。