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Spatial frequency analysis is a specialized form of systems analysis. It is used to study the spatial filtering properties of optical imaging devices. A filter in systems analysis is thought of as a stimulus-response mechanism that responds better to some stimuli than others. A linear system is one that accepts an input and produces an output. The input and output can be one dimensional (time), two dimensional (space), or higher dimensional. Spatial frequency analysis is a way in which one can predict the response of a linear spatial filter to any spatial pattern or complex waveform. Sinusoidal (sine-wave) gratings are used to determine the spatial filtering characteristics under study. This is because a sine function is the one spatial function that can pass through a linear filter unchanged in form. A sine-wave grating of specified orientation, spatial frequency, amplitude, and spatial phase is thought of as a Fourier component. All visual images...
References and Readings
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Meese, T. S. (2000). A tutorial essay on spatial filtering and spatial vision. www.aston.ac.uk/downloads/lhs/Meese%20Intro%20Advanced.pdf.
Meng, J., Liu, R., Wang, K., Hua, T., Lu, Z.-L., & Xi, M. (2013). Neural correlates of stimulus spatial frequency dependent contrast detection. Experimental Brain Research, 225, 377–385.
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Shapley, R., & Lennie, P. (1985). Spatial frequency analysis in the visual system. Annual Review of Neuroscience, 8, 547–583.
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Swearer, J. (2017). Spatial Frequency Analysis. In: Kreutzer, J., DeLuca, J., Caplan, B. (eds) Encyclopedia of Clinical Neuropsychology. Springer, Cham. https://doi.org/10.1007/978-3-319-56782-2_1403-2
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DOI: https://doi.org/10.1007/978-3-319-56782-2_1403-2
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