Multi-Modal Medical Image Fusion using Improved Guided Imaging Filter
Main Article Content
Abstract
A fast and effective image fusion method is proposed for creating a highly informative fused image
through merging multiple images. The proposed method is based on a two-scale decomposition of an
image into a base layer containing large scale variations in intensity, and a detail layer capturing small
scale details. A novel Statistics based guided image 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 fusion of
multispectral, multi focus, multimodal, and multi exposure images.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
