Figure 2
From: Flexible time course of spatial frequency use during scene categorization
Filtering of stimuli using the SF Bubbles technique (see text for details). (a) Padded base stimulus. (b) Amplitude spectrum of the padded base stimulus after Fast Fourier transform. (c) Random binary sampling matrix. (d) Gaussian SF smoothing bubble. (e) Smoothed sampling matrix after convolution of the binary sampling matrix with the SF bubble. (f) Array of 1D filters after log-scaling of the smooth sampling matrix in the SF dimension. (g) 2D filters that are dot-multiplied with the amplitude spectrum of the base stimulus. (h) Filtered stimuli after the inverse transformation.
