This method leverages the deep characteristics of residual networks to extract features and combine shallow and deep features to quantify the information ...

The network structure comprises three components: the first part is a feature extraction module based on residual networks (ReNet), which is utilized to capture ...

A fusion method for infrared and visible light images based on residual network is presented, which leverages the deep characteristics of residual networks ...

In this paper, an end-to-end model for the infrared and visible image fusion is proposed. This unsupervised learning network architecture do not employ fusion ...

Mar 15, 2023 · The fusion of infrared images and visible images can enrich image information and obtain high-quality target images in complex environments.

The main goal is to obtain a fused image by reasonably fusing infrared images and visible images, while retaining the advantageous features of each source ...

This paper proposes a fusion network structure of infrared and visible image based on residual network and compression decomposition network.

First, the precise control and interpretation of dual-modal feature fusion remain challenging, often resulting in either information redundancy or ...

We proposed an infrared and visible image fusion method, ResCCFusion, based on the ResCC module and spatial criss-cross attention models.

Oct 22, 2024 · The proposed method is characterized by a multiscale transformation of an infrared image and visible light image in the optimized nonsubsampled ...