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MESR: Multistage Enhancement Network for Image Super-Resolution
2022
IEEE Access
Recently, the deep-learning-based image super-resolution methods have achieved astounding advancement. Whereas most of these methods utilize features from the low-resolution image space exclusively, and ignore the dependency between contextual features simultaneously, resulting in their limited ability to restore details. To this end, a multi-stage enhancement image network for super-resolution (MESR) is proposed. The network consists of two stages, where the first stage is used to generate a
doi:10.1109/access.2022.3176605
fatcat:hlbeh6hq2janppw37pidw7dmfa