Image Fusion Based on Nonsubsampled Shearlet Transform

Abstract

In current days, an image fusion is a powerful method and developing field in the area of image processing. The image fusion is the process of combining two or more images into a single image then the resulting image will appear more informative than any of the input images. It is the process of assimilation of numerous input images into a new single fused image with highly informative than the input image. There are various image fusion transform techniques are proposed. Out of that techniques a Non-subsampled shearlet transform includes shift invariant property, highly directionality, feasible and more efficient information as compared to previous techniques such as wavelet transform(WT), DWT, LWT, MWT, CWT, Curvelet transform, Counterlet transform, and Nonsubsampled Counterlet transform(NSCT). This NSST technique is carried out by adjusting the levels with filter banks. Downsampling is used to reconstruct. NSST decomposition provides a simple hierarchical framework for image fusion with different geographical resolution.