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首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Efficiency of the human observer detecting random signals in random backgrounds
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Efficiency of the human observer detecting random signals in random backgrounds

机译：人类观察者在随机背景下检测随机信号的效率

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摘要

The efficiencies of the human observer and the channelized-Hotelling observer relative to the ideal observer for signal-detection tasks are discussed. Both signal-known-exactly (SKE) tasks and signal-known-statistically (SKS) tasks are considered. Signal location is uncertain for the SKS tasks, and lumpy backgrounds are used for background uncertainty in both cases. Markov chain Monte Carlo methods are employed to determine ideal-observer performance on the detection tasks. Psychophysical studies are conducted to compute human-observer performance on the same tasks. Efficiency is computed as the squared ratio of the detectabilities of the observer of interest to the ideal observer. Human efficiencies are approximately 2.1% and 24%, respectively, for the SKE and SKS tasks. The results imply that human observers are not affected as much as the ideal observer by signal-location uncertainty even though the ideal observer outperforms the human observer for both tasks. Three different simplified pinhole imaging systems are simulated, and the humans and the model observers rank the systems in the same order for both the SKE and the SKS tasks.
机译：讨论了人类观察者和信道化的Hotelling观察者相对于信号检测任务理想观察者的效率。同时考虑了“已知信号已知”（SKE）任务和“已知信号统计”（SKS）任务。对于SKS任务，信号的位置不确定，在这两种情况下，块状背景都用于背景不确定性。马尔可夫链蒙特卡罗方法用于确定检测任务的理想观察者性能。进行心理物理学研究以计算人类在相同任务上的表现。效率计算为感兴趣的观察者与理想观察者的可检测性的平方比。 SKE和SKS任务的人工效率分别约为2.1％和24％。结果表明，即使理想观察者在两个任务上都胜过人类观察者，但信号定位不确定性对人类观察者的影响不如理想观察者大。模拟了三种不同的简化针孔成像系统，人类和模型观察者对SKE和SKS任务均按相同顺序对系统进行排名。

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