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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Transform Coding for Hardware-accelerated Volume Rendering
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Transform Coding for Hardware-accelerated Volume Rendering

机译：用于硬件加速体积渲染的变换编码

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摘要

Hardware-accelerated volume rendering using the GPU is now the standard approach for real-time volume rendering, although limited graphics memory can present a problem when rendering large volume data sets. Volumetric compression in which the decompression is coupled to rendering has been shown to be an effective solution to this problem; however, most existing techniques were developed in the context of software volume rendering, and all but the simplest approaches are prohibitive in a real-time hardware-accelerated volume rendering context. In this paper we present a novel block-based transform coding scheme designed specifically with real-time volume rendering in mind, such that the decompression is fast without sacrificing compression quality. This is made possible by consolidating the inverse transform with dequantization in such a way as to allow most of the reprojection to be precomputed. Furthermore, we take advantage of the freedom afforded by off-line compression in order to optimize the encoding as much as possible while hiding this complexity from the decoder. In this context we develop a new block classification scheme which allows us to preserve perceptually important features in the compression. The result of this work is an asymmetric transform coding scheme that allows very large volumes to be compressed and then decompressed in real-time while rendering on the GPU.
机译：使用GPU进行硬件加速的体积渲染现在是实时体积渲染的标准方法，尽管在渲染大体积数据集时有限的图形内存可能会带来问题。减压与渲染相结合的体压缩已被证明是解决此问题的有效方法。但是，大多数现有技术都是在软件体绘制的背景下开发的，除了最简单的方法之外，其他所有方法在实时硬件加速体绘制的环境中都是令人望而却步的。在本文中，我们提出了一种新颖的基于块的变换编码方案，该方案是专门为实时体积渲染而设计的，这样在不牺牲压缩质量的情况下，解压缩速度很快。通过以允许大部分重新投影被预先计算的方式将逆变换与去量化合并来使之成为可能。此外，我们利用了离线压缩所提供的自由度，以便在对解码器隐藏这种复杂性的同时，尽可能地优化编码。在这种情况下，我们开发了一种新的块分类方案，该方案允许我们在压缩中保留感知上重要的特征。这项工作的结果是一种非对称变换编码方案，该方案允许在压缩后在GPU上实时渲染非常大的体积，然后进行实时解压缩。

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