A region-based multiresolution image fusion algorithm

Abstract

We propose a multiresolution fusion algorithm which combines aspects of region and pixel-based fusion. We use multiresolution decompositions to represent the input images at different scales, and introduce a multiresolution/multimodal segmentation to partition the image domain at these scales. The basic idea is to use this segmentation to guide the fusion process. A region-based multiresolution approach allows us to consider low-level as well as intermediate-level structures, and to impose data-dependent consistency constraints based on spatial, inter and intra-scale dependencies.