Investigation of Image Fusion using Curvelet Transform

Image fusion is the process of extracting meaningful visual information from two or more images and combining them to form a new image. In medical image fusion, multiple medical images, such as computed tomography (CT) and magnetic resonance (MR) images are fused into a new image to improve the information content for diagnoses. Some attempts have been proposed for the fusion of MR and CT images using the wavelet transform. Since medical images have several objects and curved structures, it is expected that the curvelet transform would be better in their fusion. Global Energy Merging scheme is a region-based analysis approach comparing to all other methods this method produces fused image having very high Edge and curve details.