To retain the details of a visible image with a discernible target area, we propose a multi-
scale decomposition image fusion method based on a local edge-preserving (LEP) filter and …

Recently, deep learning has been widely used in the imaging field. Residual, pyramid and
attention networks are proposed successively, and are extensively used because of their …

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

Benefitting from the strong feature extraction capability of deep learning, infrared and visible
image fusion has made a great progress. Since infrared and visible images are obtained by …

Methods based on generative adversarial network (GAN) have been widely used in infrared
and visible images fusion. However, these methods cannot perceive the discriminative parts …

Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and
parallel computing model, combining the spiking and coupled mechanisms of neurons. This …

Because of the poor lighting conditions at night time, visible images are often fused with
corresponding infrared (IR) images for context enhancement of the scenes in night vision. In …

In this paper, we propose an image filter based on fuzzy gradient threshold function and
global optimization, termed as gradientlet filter, from the perspective of luminance and …

To improve the infrared target features and preserve the texture details from source images,
a simple and efficient multi-level detail enhancement decomposition method based on …

Medical image fusion has many applications to healthcare that is accomplished by
extracting and then combining the complementary information from multiple medical images …