人类视觉中时态边缘检测滤波器的估计值

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Pontus Ebelin, Gyorgy Denes, Tomas Akenine-Möller, Kalle Åström, Magnus Oskarsson, William H. McIlhagga
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引用次数: 0

摘要

边缘检测是人类视觉处理中的一个重要过程。然而,据我们所知,很少有人尝试绘制人类视觉中的时间边缘检测滤波器。为此,我们设计了一项用户研究并收集了数据,从中我们得出了基于三种不同模型的人类时间边缘检测滤波器的估计值,包括无限对称指数函数的导数和时间对比敏感度函数。我们使用几种不同的方法分析了我们的发现,包括将滤波器扩展到比实验中显示的频率更高的频率。此外,我们还展示了一个概念证明,即通过将我们的滤波器纳入闪烁检测管道,可将其用于时空图像质量度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimates of Temporal Edge Detection Filters in Human Vision

Edge detection is an important process in human visual processing. However, as far as we know, few attempts have been made to map the temporal edge detection filters in human vision. To that end, we devised a user study and collected data from which we derived estimates of human temporal edge detection filters based on three different models, including the derivative of the infinite symmetric exponential function and temporal contrast sensitivity function. We analyze our findings using several different methods, including extending the filter to higher frequencies than were shown during the experiment. In addition, we show a proof of concept that our filter may be used in spatiotemporal image quality metrics by incorporating it into a flicker detection pipeline.

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来源期刊
ACM Transactions on Applied Perception
ACM Transactions on Applied Perception 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
22
审稿时长
12 months
期刊介绍: ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields. The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.
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