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Fast algorithm for error-bounded compression of digital curves

机译:数字曲线的误差有界压缩的快速算法

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A fast algorithm for compression of digital curves with minimal bitrate for a given error-bound was considered. The algorithm includes polygonal approximation with quantization of the vector data and compression of the quantized data with arithmetic encoder An asymptotically optimal quantizer for vector data was constructed with a quantization step proportional to the given RMSE bound. The proposed algorithm has demonstrated good compression and time performance on large-size data. The algorithms can be used in real-time applications and adapted for on-line implementation.
机译:对于给定的误差范围,考虑了一种以最小比特率压缩数字曲线的快速算法。该算法包括对矢量数据进行量化的多边形逼近以及使用算术编码器对量化数据进行压缩。针对矢量数据的渐近最优量化器的构建,其量化步长与给定的RMSE边界成比例。所提出的算法已经证明了对大数据的良好压缩和时间性能。该算法可用于实时应用中,并适用于在线实施。

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