Mr. Ke Wang Profile

Ke Wang

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 1 August 2023 Paper

Dual-branch visible and infrared image fusion transformer

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

Proceedings Volume 12752, 1275207 (2023) https://doi.org/10.1117/12.2691207

KEYWORDS: Image fusion, Infrared imaging, Infrared radiation, Image enhancement, Feature fusion, Visible radiation, Transformers, Semantics

Read 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.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years