在滤波噪声中检测目标：空间和空间频率白化
Detection of targets in filtered noise: whitening in space and spatial frequency.
作者信息
Zhang Anqi, Geisler Wilson S
出版信息
J Opt Soc Am A Opt Image Sci Vis. 2022 Apr 1;39(4):690-701. doi: 10.1364/JOSAA.447391.
Abstract
Most studies of detection in complex backgrounds have measured and modeled human performance for statistically uniform (stationary) backgrounds. However, natural and medical images have statistical properties that vary over space. We measured detection of various target shapes presented in Gaussian 1/f noise backgrounds that were statistically uniform over space, and in ones that modulated in contrast over space. We find that the pattern of human thresholds is not consistent with the ideal observer but is consistent with a suboptimal observer that performs partial whitening in spatial frequency and whitening (reliability-weighting) in space, and has a small level of intrinsic position uncertainty.
摘要
大多数关于复杂背景下检测的研究都针对统计上均匀（静止）的背景测量并建立了人类性能模型。然而，自然图像和医学图像具有随空间变化的统计特性。我们测量了在空间上统计均匀的高斯1/f噪声背景中以及在对比度随空间调制的背景中呈现的各种目标形状的检测情况。我们发现，人类阈值模式与理想观察者不一致，但与一个次优观察者一致，该次优观察者在空间频率上进行部分白化，在空间上进行白化（可靠性加权），并且具有较小程度的固有位置不确定性。
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