Blind image denoising via dynamic dual learning
Existing discriminative learning methods for image denoising use either a single residual learning or a nonresidual learning design. However, we observe that these two schemes perform differently with the same noise level, and yet, there have been no explorations regarding whether residual or nonres...
Saved in:
Main Authors: | DU, Yong, HAN, Guoqiang, TAN, Yinjie, XIAO, Chufeng, HE, Shengfeng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7846 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Fast image restoration methods for impulse and Gaussian noises removal
by: Huang, Y.-M., et al.
Published: (2014) -
SURVEY OF DEEP NEURAL NETWORKS IN BLIND DENOISING USING DIFFERENT ARCHITECTURES AND DIFFERENT LABELS
by: LOO TIANG KUAN, LEONARD
Published: (2017) -
Spectrogram denoising for the automated extraction of dolphin whistle contours
by: ASITHA MALLAWAARACHCHI
Published: (2010) -
Single-image signal-to-noise ratio estimation
by: Thong, J.T.L., et al.
Published: (2014) -
Spatial evaluation of environmental noise with the use of participatory sensing system in Singapore
by: Diong, Huey Ting, et al.
Published: (2022)