Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …

As an effective way to integrate the information contained in multiple medical images with
different modalities, medical image fusion has emerged as a powerful technique in various …

Multi-modal medical image fusion is the process of merging multiple images from single or
multiple imaging modalities to improve the imaging quality with preserving the specific …

A novel method for performing anatomical magnetic resonance imaging-functional (positron
emission tomography or single photon emission computed tomography) image fusion is …

In this paper, an infrared (IR) and visible (VIS) image fusion algorithm is designed for the
injection of the IR objects into the VIS background in a perceptual manner. It consists of four …

The purpose of image fusion is to combine the source images of the same scene into a
single composite image with more useful information and much better visual effects, which is …

To overcome the difficulties of sub-band coefficients selection in multiscale transform
domain-based image fusion and solve the problem of block effects suffered by spatial …

Most multimodal medical image fusion (MMIF) methods suffer from insufficient
complementary feature extraction and luminance degradation, such that the fused results …

Medical image fusion techniques have been widely used in various clinical applications.
Generalized homomorphic filters have Fourier domain features of input image. In multimodal …