Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

Background: With today's emerging world of technology, fusion is the key factor in every
field, especially in the field of medical and remote sensing. By fusing two or more images …

In this paper, a new image fusion algorithm based on fourth order partial differential
equations and principal component analysis is introduced. This is for the first time fourth …

Medical image fusion technique can help the physician to execute combined diagnosis,
preoperative planning, intraoperative guidance, and interventional treatment in many clinical …

This study proposes a novel medical image fusion approach based on the segment graph
filter (SGF) and sparse representation (SR). Specifically, using the SGF, source images are …

Multi-focus image fusion uses multiple images focused on different depths to generate a
clear image covering the whole scene. The existing multi-focus image fusion methods do not …

In medical imaging using different modalities such as MRI and CT, complementary
information of a targeted organ will be captured. All the necessary information from these …

Image fusion is the process in which substantial information taken through different sensors,
different exposure values and at different focus points is integrated together to generate a …

The aim of multimodal medical image fusion is to extract information from different modal
images into a single one so that the single fusion image contains the salient features of the …

Multimodal image fusion combines information from multiple modalities to generate a
composite image containing complementary information. Multimodal image fusion is …