Two-stream deep sparse network for accurate and efficient image restoration-Reference-Cited by-同舟云学术

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Two-stream deep sparse network for accurate and efficient image restoration

Published:2020-11 Issue: Volume:200 Page:103029
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Wang Shuhui,Hu Ling,Li Liang,Zhang Weigang,Huang Qingming

Funder

National Key R&D Program of China

National Natural Science Foundation of China

CAS

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference46 articles.

1. Agustsson, E., Timofte, R., 2017. NTIRE 2017 challenge on single image super-resolution: Dataset and study. In: CVPR Workshops.

2. Ahn, N., Kang, B., Sohn, K., 2017. Fast, accurate, and lightweight super-resolution with cascading residual network. In: ECCV.

3. Bevilacqua, M., Roumy, A., Guillemot, C., Alberi-Morel, M., 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In: BMVC.

4. Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2017

5. Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.O., 2007a. Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space. In: ICIP.

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