用平均树实现更好的不动点滤波

IF 2.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Andrew Adams, Dillon Sharlet
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引用次数: 0

摘要

生产成像管道通常使用定点算法进行操作,在这些管道中,核心原语是通过小滤波器进行卷积;定点值的凸组合,以便重新采样、插值或去噪。我们描述了一种使用平均指令序列计算定点值的无偏凸组合的新方法,这些指令存在于所有流行的CPU和DSP架构中,但很少使用。对于各种流行的内核,我们的平均值;树具有比现有标准实践更高的性能和更高的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Better Fixed-Point Filtering with Averaging Trees
Production imaging pipelines commonly operate using fixed-point arithmetic, and within these pipelines a core primitive is convolution by small filters - taking; convex combinations of fixed-point values in order to resample, interpolate, or denoise. We describe a new way to compute unbiased convex combinations of fixed-point values using sequences of averaging instructions, which exist on all popular CPU and DSP architectures but are seldom used. For a variety of popular kernels, our averaging; trees have higher performance and higher quality than existing standard practice.
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CiteScore
2.90
自引率
0.00%
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