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A promising power-saving technique: Approximate computing

机译:一种有前途的节能技术:近似计算

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Approximate computing is introduced as an important low-power technology for image processing in recent years. Since a slight decrease in image quality is normally acceptable by human eyes, approximate computing optimizes design by allowing some tolerable errors and sacrificing some accuracy in the computational process. The reduction of computing complexity can thus contribute to the improvement of circuit energy efficiency. This paper reviews existing approximate techniques in image processing field and classifies them into algorithm level, logic level and circuit level. In addition, this paper analyses and highlights the merits of each technique.
机译:近年来,近似计算作为一种重要的低功耗技术被引入图像处理。由于人眼通常可以接受图像质量的轻微下降,因此近似计算通过允许一些可容忍的误差并在计算过程中牺牲一些精度来优化设计。因此,计算复杂度的降低可以有助于电路能量效率的提高。本文回顾了图像处理领域中已有的近似技术,并将其分为算法级,逻辑级和电路级。此外,本文分析并强调了每种技术的优点。

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