Wavelet Based selection for fusion of Medical images

Image fusion mainly focused on image enhancement for better visualization of a scene. Due to Fusion of Multi-focus noisy we achieve the enhanced image having better visual quality. The Main objective of this paper is to perform image fusion using Wavelet Transform using Haar wavelet and Biorthogonal wavelet. In blurred multi focus images edge information and contrast of an image is disturbed. Hence the quality metrics that evaluate the edge and contrast based information is of more important. The suitable wavelet can be selected to achieve better enhancement in terms of edge and contrast. We have used some registered sets of Medical Images. On those images we apply fusion using wavelet transform. To know the quality of fused image we use quality parameters like RMSE, PSNR, Spatial Frequency, Mutual Information, Correlation, Standard Deviation, Entropy, Variance, Similarity, and Time required for execution. Then decide from both wavelet by using which wavelet we get better results so at the time of fusion we directly apply that wavelet transform.