Infrared and visible image fusion algorithm based on gradient attention residuals dense block.

ABSTRACT: The purpose of infrared and visible image fusion is to obtain an image that includes both infrared target and visible information. However, among the existing infrared and visible image fusion methods, some of them give priority to the fusion effect, often with complex design, ignoring the influence of attention mechanisms on deep features, resulting in the lack of visible light texture information in the fusion image. To solve these problems, an infrared and visible image fusion method based on dense gradient attention residuals is proposed in this article. Firstly, squeeze-and-excitation networks are integrated into the gradient convolutional dense block, and a new gradient attention residual dense block is designed to enhance the ability of the network to extract important information.

SUBMITTER: Luo Y 

PROVIDER: S-EPMC11622899 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature