Multi-task learning with self-learning weight for image denoising

Multi-task learning with self-learning weight for image denoising

Abstract Background Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse image restoration problems and become an efficien...

Full description

Bibliographic Details
Main Authors: Qian Xiang, Yong Tang, Xiangyang Zhou
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Journal of Engineering and Applied Science
Subjects:
Self-learning weight
Multi-objective optimization
Non-Gaussian noise model
Image denoising
Multi-task learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s44147-024-00425-7

Internet

https://doi.org/10.1186/s44147-024-00425-7

Similar Items