Version 1.0.2 (44.7 KB) by Kun Zhan
Structure-Aware Image Fusion
Updated 30 May 2019

Most existing multi-modal image fusion methods require multi-scale transforms. However, this requirement does not necessarily lead to the fusion result containing the original intensity of source images, and multi-scale transforms need a high computational complexity. In this paper, we tackle the problem of multi-modal image fusion in the spatial domain with a low computational complexity. A salient structure extraction method and a structure-preserving filter are developed to fuse medical images. The developed structure-preserving filter has a property that it recovers small-scale details of the guidance image in the neighborhood of large-scale structures of the input image. Based on the property of the structure-preserving filter, the fusion result is constructed by combining the output of the structure-preserving filter and the source images. Experiments are conducted to demonstrate the effectiveness of the proposed method in comparison with the state-of-the-art approaches in terms of three performance metrics.

Cite As

Li, Wen, et al. “Structure-Aware Image Fusion.” Optik, vol. 172, Elsevier BV, Nov. 2018, pp. 1–11, doi:10.1016/j.ijleo.2018.06.123.

View more styles
MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes





To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.