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A novel Phase Updating and Transform Network (PUTNet) is developed, which performs two key operations including updating the saliency phase component under RGB-D-Saliency phase consistency constraints, and generating the final saliency map through global phase-to-image transform.
For multi-modal image super-resolution (MISR), exploring cross-modal consistency is of vital importance. However, most existing consistency priors struggle to preserve high-frequency components and fail to provide generalizable regularization, often resulting in blurred edges or inaccurate textures. In this paper, we r...
The deep unfolding network represents a promising research avenue in fusion-based hyperspectral image super-resolution (HSI-SR). However, most current deep unfolding methodologies are anchored in idealized observation models, which overlook the degradation of the multispectral image (MSI), hindering their SR performanc...
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