Dual-branch visible and infrared image fusion transformer

Xiaolin Shi; Zhen Wang; Xinping Pan; Junjie Li; Ke Wang

doi:10.1117/12.2691207

1 August 2023 Dual-branch visible and infrared image fusion transformer

Xiaolin Shi, Zhen Wang, Xinping Pan, Junjie Li, Ke Wang

Proceedings Volume 12752, Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023); 1275207 (2023) https://doi.org/10.1117/12.2691207
Event: Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023), 2023, Hangzhou, China

Abstract

The process of combining features from two images of different sources to generate a new image is called image fusion. In order to adapt to different application scenarios, deep learning was widely used. However, existing fusion networks focued on the extraction of local information, neglected the long-term dependencies. In order to improve the defect, a fusion network based on Transformer was proposed. To accommodate our experimental equipment, we made some modifications to Transformer. A dual-branch autoencoder network was designed with detail and semantic branches, the fusion layer consists of CNN and Transformer, and the decoder reconstructs the features to get the fused image. A new loss function was proposed to train the network. Based on the results, an infrared feature compensation network was designed to enhance the fusion effect. In several metrics that we focus on, we compared with several other algorithms. As the experiments on some datasets, our method had improvement on SCD, SSIM and MS-SSIM metrics, and was basically equal to other algorithms on saliency-based structural similarity, weighted quality assessment, and dge-based structural similarity. From the experimental results, we can see that our method was feasible.

Citation Download Citation

Xiaolin Shi, Zhen Wang, Xinping Pan, Junjie Li, and Ke Wang "Dual-branch visible and infrared image fusion transformer", Proc. SPIE 12752, Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023), 1275207 (1 August 2023); https://doi.org/10.1117/12.2691207

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image fusion

Infrared imaging

Infrared radiation

Feature fusion

Image enhancement

Visible radiation

Semantics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years