  $Hybrid$ $images$ was first introduced by Olivia et al., that produced static
images with two interpretations such that the images changes as a function of
viewing distance. Hybrid images are built by studying human processing of
multiscale images and are motivated by masking studies in visual perception.
The first introduction of hybrid images showed that two images can be blend
together with a high pass filter and a low pass filter in such a way that when
the blended image is viewed from a distance, the high pass filter fades away
and the low pass filter becomes prominent. Our main aim here is to study and
review the original paper by changing and tweaking certain parameters to see
how they affect the quality of the blended image produced. We have used
exhaustively different set of images and filters to see how they function and
whether this can be used in a real time system or not.
