Title | ||
---|---|---|
Deep learning-based compressed image artifacts reduction based on multi-scale image fusion |
Abstract | ||
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•Deep residual learning model with multi-scale image fusion for image deblocking.•Deep jointly learning image super-resolution and image deblocking.•Residual learning with multiple loss functions for better network optimization. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.inffus.2020.10.016 | Information Fusion |
Keywords | DocType | Volume |
Image fusion,Deep learning,Residual learning,Convolutional neural networks,Multi-scale,Blocking artifacts | Journal | 67 |
ISSN | Citations | PageRank |
1566-2535 | 1 | 0.39 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chia-Hung Yeh | 1 | 367 | 42.15 |
Chu-Han Lin | 2 | 1 | 0.39 |
Min-Hui Lin | 3 | 1 | 0.39 |
Li-Wei Kang | 4 | 38 | 4.54 |
Chih-Hsiang Huang | 5 | 9 | 1.89 |
Mei-juan Chen | 6 | 319 | 31.69 |