Image fusion is the process of   producing a single image from a set of input images. The fused image should have more complete information which is more useful for human or machine perception. The fusion of images is an important  technique  within many desperate fields such as remote sensing, robotics, manufacturing, intelligent Systems, medical applications etc. With the evolution of imaging technology, an increasing number of image modalities becomes available such as CT, SPECT, PET, MRI etc. Each modality has its strengths and weakness. For example, SPECT is able to image functional behavior of organs but has low resolution with diffuse boundaries. Because of this it is difficult to identify specific organs or tissues. On the other hand, X-ray Computed Tomography (CT) and MRI provide images with high resolution and sharp boundary information. To preserve all the complementary informations provided by different modalities in a single image, image fusion is performed, which is useful for human visual and machine perception and for better data interpretation.

An intensity based fusion method is  developed using JAVA for fusing multimodal medical images. This fusion method are applicable for fusing images that is obtained from two different modalities (Computer Tomograhy- CT and magnetic resonance imaging (MRI). This image fusion software reads two   images and combines them into a single highly informative image with maximum content.. The program is tested using CT-MRI images that is fused using  methods like wavelet pyramid, fast point based fusion using matlab platform etc.