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缪勒-莱尔错觉图像的单波段幅度解调

Single-band amplitude demodulation of Müller-Lyer illusion images.

作者信息

Sierra-Vázquez Vicente, Serrano-Pedraza Ignacio

机构信息

Departamento de Psicología Básica I, Facultad de Psicología, Universidad Complutense de Madrid, Campus de Somosaguas, 28223 Madrid, Spain.

出版信息

Span J Psychol. 2007 May;10(1):3-19. doi: 10.1017/s1138741600006272.

DOI:10.1017/s1138741600006272
PMID:17549874
Abstract

The perception of the Müller-Lyer illusion has previously been explained as a result of visual low band-pass spatial filtering, although, in fact, the illusion persists in band-pass and high-pass filtered images without visible low-spatial frequencies. A new theoretical framework suggests that our perceptual experience about the global spatial structure of an image corresponds to the amplitude modulation (AM) component (or its magnitude, also called envelope) of its AM-FM (alternatively, AM-PM) decomposition. Because demodulation is an ill-posed problem with a non-unique solution, two different AM-FM demodulation algorithms were applied here to estimate the envelope of images of Müller-Lyer illusion: the global and exact Daugman and Downing (1995) AMPM algorithm and the local and quasi-invertible Maragos and Bovik (1995) DESA. The images used in our analysis include the classic configuration of illusion in a variety of spatial and spatial frequency content conditions. In all cases, including those of images for which visual low-pass spatial filtering would be ineffective, the envelope estimated by single-band amplitude demodulation has physical distortions in the direction of perceived illusion. It is not plausible that either algorithm could be implemented by the human visual system. It is shown that the proposed second order visual model of pre-attentive segregation of textures (or "back-pocket" model) could recover the image envelope and, thus, explain the perception of this illusion even in Müller-Lyer images lacking low spatial frequencies.

摘要

此前,缪勒 - 莱尔错觉的感知被解释为视觉低通空间滤波的结果,尽管事实上,在带通和高通滤波图像中该错觉依然存在,且其中并无可见的低空间频率。一个新的理论框架表明,我们对图像全局空间结构的感知体验对应于其调幅调频(或者调幅调相)分解的调幅(AM)分量(或其幅度,也称为包络)。由于解调是一个不适定问题,其解不唯一,因此这里应用了两种不同的调幅调频解调算法来估计缪勒 - 莱尔错觉图像的包络:全局且精确的道格曼和唐宁(1995)调幅调相算法,以及局部且近似可逆的马拉戈斯和博维克(1995)去包络算法。我们分析中使用的图像包括在各种空间和空间频率内容条件下的经典错觉配置。在所有情况下,包括那些视觉低通空间滤波无效的图像,通过单波段幅度解调估计的包络在感知错觉的方向上都存在物理失真。这两种算法似乎都不太可能由人类视觉系统实现。研究表明,所提出的纹理前注意分离的二阶视觉模型(或“后袋”模型)能够恢复图像包络,从而即使在缺乏低空间频率的缪勒 - 莱尔图像中也能解释这种错觉的感知。

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