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Wavelet-Like Lifting-Based Transform for Decomposing Images in Accordance with the Inter-prediction Principles of Video Coding

机译:基于小波提升的变换根据视频编码的帧间预测原理分解图像

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In this paper, an innovative approach to image analysis-synthesis is presented, which follows the prediction principles of video coding. It consists in decomposing an image into four polyphase components, which are processed like video frames. One of them is made the essential reference frame, whereas each of the remaining components is predicted using the reference or any of previously encoded components. Such hierarchical prediction is adapted, being similar to the bidirectional motion estimation-compensation using two reference frames, known of the MPEG-4 AVC standard for video coding. On the other hand, obtainable residuals are similar to the results of lifting-based sub-band decompositions of images, or even to wavelet transforms, if the algorithm is applied iteratively to the reference. But, surprisingly, our computational scheme is most related to the known PLT and GTD algorithms, conceptually distant from both wavelets and video coding, and thus it can be called the hierarchical adaptive spatial triangular decomposition (HASTD). Owing to implementation advantages, our solution forms an interesting basis for developing a new class of image codecs.
机译:本文提出了一种创新的图像分析合成方法,该方法遵循视频编码的预测原理。它包括将图像分解为四个多相分量,这些分量像视频帧一样进行处理。将其中一个作为基本参考帧,而使用参考或任何先前编码的分量来预测每个剩余分量。类似于使用用于视频编码的MPEG-4 AVC标准的,使用两个参考帧的双向运动估计补偿,对这种分层预测进行了调整。另一方面,如果将算法迭代地应用于参考,则可获得的残差类似于基于提升的图像子带分解的结果,甚至类似于小波变换。但是,令人惊讶的是,我们的计算方案与已知的PLT和GTD算法最相关,在概念上与小波和视频编码均相距甚远,因此可以将其称为分层自适应空间三角分解(HASTD)。由于实现优势,我们的解决方案为开发新型图像编解码器奠定了有趣的基础。

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