 Image-to-sound mapping

A rule converting image properties into acoustic features. One column-scanning example assigns vertical row to $f_i$, horizontal column to scan time, and brightness to amplitude $A(I_{ij})$, yielding $s_j(t)={\sum }_{i}A(I_{ij})\sin (2\pi f_{i}t+{\varphi }_i)$. Distinct orthogonal tones can preserve column coefficients in ideal conditions, while finite windows, masking and limited hearing resolution constrain perception.