A LUNet based on large kernel attention mechanism for image denoising

Yonggang Yao

doi:10.1117/12.2638621

23 May 2022 A LUNet based on large kernel attention mechanism for image denoising

Yonggang Yao

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122541C (2022) https://doi.org/10.1117/12.2638621
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

U-shaped networks are widely used in the field of image denoising with their multiscale and jump connection structures in recent years. The feature extraction structures mainly used in previous works are convolutional neural networks (CNNs), but their ability to extract information at a distance is poor. In this paper, we propose a U-shaped network structure combined with large kernel attention structure for image denoising, in which the CNNs structure can effectively extract local information while the large kernel attention structure has better extraction of global information and lower computational cost compared with Transformer, through which local-global features are learned on the feature maps of the input noisy images at different scales, which can effectively enhance the performance of the network and improve the image denoising task. The performance of the network can be enhanced to improve the performance of the image denoising task.

Citation Download Citation

Yonggang Yao "A LUNet based on large kernel attention mechanism for image denoising", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122541C (23 May 2022); https://doi.org/10.1117/12.2638621

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
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Convolution

Image denoising

Denoising

Image enhancement

Computer vision technology

Image quality

Machine vision

Show All Keywords

Keywords/Phrases

Search In:

Publication Years