  Several Scientific and engineering applications require merging of sampled
images for complex perception development. In most cases, for such
requirements, images are merged at intensity level. Even though it gives fairly
good perception of combined scenario of objects and scenes, it is found that
they are not sufficient enough to analyze certain engineering cases. The main
problem is incoherent modulation of intensity arising out of phase properties
being lost. In order to compensate these losses, combined phase and amplitude
merge is demanded. We present here a method which could be used in precision
engineering and biological applications where more precise prediction is
required of a combined phenomenon. When pixels are added, its original property
is lost but accurate merging of intended pixels can be achieved in high quality
using frequency domain properties of an image. This paper introduces a
technique to merge various images which can be used as a simple but effective
technique for overlapped view of a set of images and producing reduced dataset
for review purposes.
