Abstract: Based on artistic methods used for manipulating perception, we present a technique that creates facial images with conflicting emotional states at different spatial frequencies. The foveal and peripheral components of the human visual system tend to interpret emotional states differently, adding a degree of elusiveness to the facial image. Our technique first isolates the coarser low spatial frequency components and finer high spatial frequency details from two images with differing facial expressions. We then perform image segmentation with edge detection, and morph the images. In practice we have found that high spatial frequency elements determine the dominant expression in the resulting image, while the low spatial frequency elements contribute subtlety.