Boosting image denoising effect via low-level noise injection

In the past decade, supervised denoising models trained on large datasets have demonstrated impressive performance in image denoising due to their superior denoising effect. However, these models lack flexibility and exhibit varying degrees of degradation in denoising performance in practical applic...

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Bibliographic Details
Published in:	Signal, image and video processing Vol. 18; no. 2; pp. 1053 - 1067
Main Authors:	Xiao, Jian, Cheng, Xiaohui, Xu, Shaoping, Tao, Wuyong, Xiao, Yanyang
Format:	Journal Article
Language:	English
Published:	London Springer London 01.03.2024 Springer Nature B.V
Subjects:	Algorithms Computer Imaging Computer Science Deep learning Flexibility Image Processing and Computer Vision Methods Multimedia Information Systems Neural networks Noise reduction Optimization techniques Original Paper Pattern Recognition and Graphics Pixels Signal,Image and Speech Processing Vision Supervised denoising models Fine-tuned image Fusion network Noise injection Boosting denoising effect Flexibility
ISSN:	1863-1703, 1863-1711
Online Access:	Get full text
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