Medical image fusion based on Multi-Scaling (DRT) and Multi-Resolution (DWT) technique

Medical image fusion is the process of deriving important information from medical images like CT(Computed Tomography), MRI(Magnetic Resonance Imaging), PET(Positron Emission Tomography) and SPECT (Signal photon emission computed tomography). These derived information can be used for diagnosing diseases, detecting the tumor, surgery treatment and so on. The main objective of image fusion is to combine more useful information and remove redundant information from source images. This paper propose a hybrid image fusion method using the combine advantage of Multi-Scaling (DWT) and Multi-Resolution(DRT) Techniques on Medical images CT and MRI. The performance of the fused image is evaluated using different parameters like PSNR, MSE.