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Wavelet-Based 3D Compression Scheme for Interactive Visualization of Very Large Volume Data

机译:基于小波的3D压缩方案,用于非常大容量数据的交互式可视化

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Interactive visualization of very large volume data has been recognized as a task requiring great effort in a variety of science and engineering fields. In particular, such data usually places considerable demands on run-time memory space. In this paper, we present an effective 3D compression scheme for interactive visualization of very large volume data, that exploits the power of wavelet theory. In designing our method, we have compromised between two important factors: high compression ratio and fast run-time random access ability. Our experimental results on the Visual Human data sets show that our method achieves fairly good compression ratios. In addition, it minimizes the overhead caused during run-time reconstruction of voxel values. This 3D compression scheme will be useful in developing many interactive visualization systems for huge volume data, especially when they are based on personal computers or workstations with limited memory.
机译:大量数据的交互式可视化已被认为是在各种科学和工程领域中需要付出巨大努力的任务。特别地,此类数据通常对运行时存储空间提出了相当大的要求。在本文中,我们提出了一种有效的3D压缩方案,用于大体积数据的交互式可视化,它利用了小波理论的强大功能。在设计方法时,我们在两个重要因素之间做出了折衷:高压缩率和快速运行时随机访问能力。我们在Visual Human数据集上的实验结果表明,我们的方法实现了相当好的压缩率。此外,它还可以最小化在运行时重建体素值期间引起的开销。这种3D压缩方案对于开发许多用于海量数据的交互式可视化系统非常有用,尤其是当它们基于内存有限的个人计算机或工作站时。

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