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A compressed-sensing approach for super-resolution ...
We propose a compressed-sensing-based super-resolution reconstruction (CS-SRR) approach for reconstructing HR diffusion images from multiple sub-pixel-shifted thick-slice acquisitions. As illustrated in Figure 1, we use three LR images with anisotropic voxel sizes that are shifted in the slice acquisition direction. Each LR image is acquired ......
Wavelet Domain Multidictionary Learning for Single Image ...
Image super-resolution (SR) aims at recovering the high-frequency (HF) details of a high-resolution (HR) image according to the given low-resolution (LR) image and some priors about natural images. Learning the relationship of the LR image and its corresponding HF details to guide the reconstruction of the HR image is needed. In order to alleviate the uncertainty in HF detail prediction, the ......
Facial image super-resolution guided by adaptive geometric ...
This paper addresses the traditional issue of restoring a high-resolution (HR) facial image from a low-resolution (LR) counterpart. Current state-of-the-art super-resolution (SR) methods commonly adopt the convolutional neural networks to learn a non-linear complex mapping between paired LR and HR images. They discriminate local patterns expressed by the neighboring pixels along the planar ......
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