Remote sensing image super‐resolution based on convolutional blind denoising adaptive dense connection
Abstract The current super‐resolution (SR) deep network is mainly applied to the common image and pays little attention to the image with noise. The remote sensing image contains much noise, so that the SR reconstruction effect is not satisfactory. Therefore, a convolution blind denoising adaptive d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12236 |