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View all- Hou BLi G(2024)PCCFormer: Parallel coupled convolutional transformer for image super-resolutionThe Visual Computer10.1007/s00371-023-03257-340:12(8591-8602)Online publication date: 5-Feb-2024
Recent approaches on single image super-resolution (SR) have attempted to exploit self-similarity to avoid the use of multiple images. In this paper, we propose an SR method based on self-learning and Gabor prior. Given a low resolution (LR) test image ...
Spectral imaging sensors often suffer from low spatial resolution, as there exists an essential tradeoff between the spectral and spatial resolutions that can be simultaneously achieved, especially when the temporal resolution needs to be ...
In this paper, we aim at using Deep Belief Networks (DBNs) to solve the problem of image super-resolution (SR). We exploit the hierarchical structure of the DBNs to capture the non-linear mapping from low-resolution (LR) patches to their high-resolution ...
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