Matlab code for Remote Sensing Image Fusion Based on Adaptive IHS & multiscale guided filter

Abstract. Image fusion is merged to form a single image, which is more informative than the single input image in quality and appearance. In order to represent the source images effectively and completely, a novel guided image filtering based fusion (GFF)

Implementation in python of the algorithm proposed by Shutao Li, Member, IEEE, Xudong Kang, Student Member, IEEE, and Jianwen Hu - RCharradi/Image-fusion-with-guided-filtering

A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency for fusion of the base and detail layers. Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for f

Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of different kinds of images. In this section we propose a new type of explicit image filter, called guided filter. The filtering output is locall

Experimental results demonstrate that the proposed method can obtain state-of-theart performance for fusion of multi-spectral, multi-focus, multimodal and multi-exposure images. Schematic diagram...

Static/dynamic filtering (SDF) is applied to multi-focus image fusion. The proposed fusion method extracts the structure information of source images at different scales. The proposed method is robust to gradient reversal and global intensity shift.