The Problem of the Missing Wavelet

Abstract

A block face was generated by dividing a drawn face into a matrix of rectangular cells and then making the brightness of each cell equal to the average of the brightnesses within the facial area circumscribed by a cell. A wavelet analysis was performed on the numbers representing the brightnesses of the cells in each row of the matrix, and from each row, the wavelet was deleted which corresponded to the fundamental or the lowest frequency sine wave of a complex wave. The appearance of the block face was not substantially altered by the deletion of the wavelet corresponding to the fundamental.

Dependence of the Appearance-Based Perception of Criminality, Suggestibility, and Trustworthiness on the Level of Pixelation of Facial Images

“…However, as shown by Brigner (1999), elimination of the lowest spatial frequency components from the image did not change visual appearance of the pixelized facial image. This indirectly refers to the prime importance of the configuration information instead of pure spatial-frequency content for face perception in the personality-perception domain.…”

“…The fact that the coarsest levels of pixelation allowed some perceived personality cues to be effectively extracted might be interpreted that the most fundamental spatial frequency carries perceptual cues of personality. However, as shown by Brigner (1999), elimination of the lowest spatial frequency components from the image did not change visual appearance of the pixelized facial image. This indirectly refers to the prime importance of the configuration information instead of pure spatial-frequency content for face perception in the personality-perception domain.…”