Model observers for signal-known-statistically tasks (SKS)
Model observers for signal-known-statistically tasks (SKS)
复制标题
信号已知统计任务（SKS）的模型观察者
DOI：
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
C. Abbey
中科院分区：
文献类型：
--
作者：
M. Eckstein;C. Abbey
模型观测器已成功地应用于预测人类视觉检测性能的任务中，信号是已知的先验，并不改变从审判（信号确切地知道任务）。虽然很好地理解，但确切地知道任务的信号并不反映信号可能变化的现实生活任务的方面，并且观察者不完全了解信号参数。在本文中，我们调查性能在两个任务：一个信号已知的观察员，但具有可变的大小和形状，并比较它的任务，其中信号是可变的，不知道的观察员（信号已知统计）。任务的背景下，2分量噪声（幂律和白色噪声）进行了调查。我们提出了一些候选的多模板模型的信号已知的统计任务，是自然的扩展信号已知的现有模型。人类观测器的结果表明，虽然人类的性能在信号准确地知道，但变量一般比信号准确地知道的任务，性能的差异不大，比理想的观察员和其他次优模型（例如，非预白化匹配滤波器与眼睛过滤器）的性能更小。对于本文所研究的尺寸和形状不确定性的范围，我们的结果表明，信号确切地知道，但可变的任务可以被用来作为一个第一近似的信号已知的统计任务的性能。因此，在这些情况下，可以使用计算上更简单的信号精确已知但可变的任务作为品质因数，以评估和优化在更现实的信号已知的统计任务中的性能。
Model observers have been successfully applied to predict human visual detection performance for tasks in which the signal is known a priori and does not vary from trial to trial (signal known exactly task). Although well understood, the signal known exactly task does not reflect aspects of real-life tasks where the signal might vary and the observer does not have full knowledge of the signal parameters. In this paper, we investigate performance in two tasks: a signal known to observers but with variable size and shape and compare it to a task where the signal is variable and not known to the observer (signal known statistically). The tasks are investigated in the context of 2-component noise (power law and white noise). We present a number of candidate multitemplate models for signal known statistically tasks that are natural extensions of the signal known exactly existing models. Human observer results show that although human performance in the signal known exactly but variable is in general better than the signal known exactly task, the differences in performance are not large and smaller than that of the ideal observer and other suboptimal models (e.g. non-prewhitening matched filter with an eye filter). For the ranges of size and shape uncertainty studied in this paper, our results suggest that the signal known exactly but variable task could be used as a first approximation to performance in the signal known statistically tasks. Therefore, the computationally simpler signal known exactly but variable task might be used in these circumstances as a figure of merit to evaluate and optimize performance in the more realistic signal known statistically tasks.
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DOI：
10.1364/josaa.2.001752
发表时间：
1985-10
期刊：
Journal of the Optical Society of America. A, Optics and image science
影响因子：
--
作者：
K. Myers;H. Barrett;M. Borgstrom;D. Patton;G. Seeley
通讯作者：
K. Myers;H. Barrett;M. Borgstrom;D. Patton;G. Seeley
数字图像处理：对模拟低对比度射线照相图案的可检测性的影响。
影响因子：
19.7
作者：
Ishida,M;Doi,K;Loo,LN;Metz,CE;Lehr,JL
通讯作者：
Lehr,JL
DOI：
10.1364/josaa.9.000649
发表时间：
1992-05-01
影响因子：
1.9
作者：
ROLLAND, JP;BARRETT, HH
通讯作者：
BARRETT, HH
具有二分量噪声的视觉信号检测：低通频谱效应。
DOI：
10.1364/josaa.16.000694
发表时间：
1999
期刊：
Journal of the Optical Society of America. A, Optics, image science, and vision
影响因子：
--
作者：
Burgess,AE
通讯作者：
Burgess,AE
DOI：
10.1364/josaa.12.000834
发表时间：
1995-05-01
影响因子：
1.9
作者：
BARRETT, HH;DENNY, JL;MYERS, KJ
通讯作者：
MYERS, KJ