Multi focus and multi modal image fusion using wavelet transform

In this paper, the multi focus images and multi modal images to be fused are decomposed by Dual tree discrete wavelet transform (DTDWT). DTDWT coefficients from two source images are fused by electing average of the approximation coefficients and maximum of the detailed coefficients. Fused images are obtained by taking inverse DTDWT. Then multi focus fused image with various parameters like Entropy, Peak Signal to noise ratio (PSNR), Root Mean Square Error (RMSE) are calculated followed by multi modal fused image Entropy, Standard Deviation, Fusion Factor (FF), Fusion Symmetry (FS) are calculated. Fuzzy Local Information C- Means algorithm (FLICM) is implemented on the multi modal fused images which is the improved version of FCM (Fuzzy C Means) algorithm. From the segmented classes, tumor is perfectly identified.