Advanced deep learning for image super-resolution

We present a learning-based single image super-resolution (SISR) method to obtain a high resolution (HR) image from a single given low resolution (LR) image. Our method gives more accurate results while also testing (runs) and training faster with a ...

Super-resolution (SR) of Hyperspectral images (HSI) has emerged as a prominent research focus. While deep learning has shown remarkable improvements over traditional methods for HSI SR, these approaches typically require large, paired datasets of ...

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 ...