Medical image fusion is the technique of integrating two or more images from various imaging modalities/scans to get a
fused image with information having the details of anatomical information combined from all the modalities for accurate
diagnosis and further treatment. This paper performs the analysis of various wavelet functions for decomposition and synthesis.
PET (Positron Emission Tomography) and MRI (Magnetic Resonance Imaging) scans of Brain and chest are used and compared
using Stationary Wavelet Transform (SWT) and Discrete wavelet Transform (DWT). Entropy is calculated which is a measure of
information acquired after the fusion process.
