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A new quantization method for 3-D seismic visualization

机译:一种新的3-D地震可视化量化方法

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摘要

The seismic data is a kind of high dynamic range data, which is very difficult to realize high-quality visualization. In this paper, we present a new method to scale the high-dynamic-range seismic data for visualization, which can quantize the high-dynamic-range data into the low-dynamic-range data, while preserving the high frequency characteristics of the geological structure. We divide the seismic data into two parts, the large-scale geological structure part and the small-scale geological structure part. The large-scale part is obtained using an edge-preserving filter called bilateral filter. Then the small-scale part and the processed large-scale part are merged into a new seismic data. Finally, the new generated data is scaled by the histogram-based quantization algorithm to a low-dynamic-range data. In this paper, we discuss and implement our quantization algorithm, and give the results.
机译:地震数据是一种高动态范围数据,这很难实现高质量的可视化。在本文中,我们提出了一种缩放了用于可视化的高动态地震数据的新方法,可以将高动态数据量化到低动态范围数据,同时保留地质的高频特性结构体。我们将地震数据分为两部分,大规模地质结构部分和小规模地质结构部分。使用称为双侧滤波器的边缘保存滤波器获得大规模部分。然后小规模部分和处理的大规模部分合并为新的地震数据。最后,新生成的数据由基于直方图的量化算法缩放到低动态范围数据。在本文中,我们讨论并实施了我们的量化算法,并提供了结果。

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