观察数字图像处理算法电路中关键故障的影响

Umar Afzaal, Jeong-A Lee
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引用次数: 0

摘要

图像处理应用通常被认为是具有容错性的,即即使是错误的结果也通常被认为是足够的。这就是为什么许多研究工作都集中在构建低功耗解决方案上,这些解决方案受益于此类应用固有的容错能力。然而,这并不意味着在图像处理应用场景中,故障恢复能力是不重要的。在这个简短的演示中,我们强调了在选择图像处理应用中算术电路中单个故障的影响。算术电路是一类广泛应用于图像处理的数字电路。我们表明,即使是单个错误也可能对应用程序的成功至关重要,因为结果表明,单个错误可能导致当前应用程序无法接受的严重输出误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observing the Impact of Critical Faults in Arithmetic Circuits for Digital Image Processing
Image processing applications are generally regarded as error-resilient, i.e., even an erroneous result is mostly considered sufficient. This is why many research works have focused on building low-power solutions which benefit from the inherent error-resilience of such applications. However, this should not be taken to mean that fault-resilience is unimportant in the context of image processing application scenarios. In this short demo, we highlight the impact of single faults in arithmetic circuits in select image processing applications. Arithmetic circuits are a class of digital circuits widely used in image processing. We show that even a single fault can be critical to application success as results demonstrate that a single fault can cause significant output error magnitude unacceptable for the application at hand.
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