Image fusion with Biorthogonal Wavelet Transform based on maximum selection and region energy

Image Fusion plays major research role in the fields of image processing. Image Fusion is a method of combining the relevant information from a set of images, into a single image, where in the resultant fused image will be more informative and complete than any of the input images. Specifically it serves best in medical diagnosis i.e. Computed Tomography (CT), Magnetic Resonance Image (MRI) scans provide different types of information, by fusion can get accurate information for better clinical diagnosis. The Biorthogonal Wavelet Transform (BWT) is one of the most widely used transform method for fusion. Here this paper discusses the Biorthogonal wavelet transform based image fusion with absolute maximum selection rule and energy based fusion rule. The proposed method analysed both qualitatively and quantitatively among various fusion methods.