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 |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2021
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/7846 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Fast image restoration methods for impulse and Gaussian noises removal
由: Huang, Y.-M., et al.
出版: (2014) -
SURVEY OF DEEP NEURAL NETWORKS IN BLIND DENOISING USING DIFFERENT ARCHITECTURES AND DIFFERENT LABELS
由: LOO TIANG KUAN, LEONARD
出版: (2017) -
Spectrogram denoising for the automated extraction of dolphin whistle contours
由: ASITHA MALLAWAARACHCHI
出版: (2010) -
Single-image signal-to-noise ratio estimation
由: Thong, J.T.L., et al.
出版: (2014) -
Spatial evaluation of environmental noise with the use of participatory sensing system in Singapore
由: Diong, Huey Ting, et al.
出版: (2022)