RDASNet: Image Denoising via a Residual Dense Attention Similarity Network

RDASNet: Image Denoising via a Residual Dense Attention Similarity Network

In recent years, thanks to the performance advantages of convolutional neural networks (CNNs), CNNs have been widely used in image denoising. However, most of the CNN-based image-denoising models cannot make full use of the redundancy of image data, which limits the expressiveness of the model. We p...

Full description

Bibliographic Details
Main Authors: Haowu Tao, Wenhua Guo, Rui Han, Qi Yang, Jiyuan Zhao
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
image denoising
CNN
attention similarity module
residual dense block
Online Access:https://www.mdpi.com/1424-8220/23/3/1486

Similar Items

Similar Items