加速迭代收缩平滑的计算成本分析与实现

Dabwitso Kasauka, Hiroshi Tsutsui, H. Okuhata, Y. Miyanaga
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引用次数: 3

摘要

本文给出了加速迭代收缩平滑算法的计算成本分析结果,该算法是一种很有前途的图像平滑算法,具有足够的平滑质量,减少了处理时间。这种成本分析的主要动机是为有效的硬件实现提供基础。我们使用底层编程语言OpenCV库来实现它,而不是MATLAB实现。分析了处理时间对分辨率的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational cost analysis and implementation of accelerated iterative shrinkage smoothing
In this paper, we present a computational cost analysis result of accelerated iterative shrinkage smoothing algorithm, which is one of promising image smoothing algorithms with sufficient smoothing quality results and reduced processing time. The main motivation of this cost analysis is to provide a base for efficient hardware implementation. We implemented it in a lower-level programming language with OpenCV library as opposed to the MATLAB implementation. The resolution dependency of the processing time is also illustrated.
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