SRFormer: Efficient yet powerful transformer network for single image super resolution
Recent breakthroughs in single image super resolution have investigated the potential of
deep Convolutional Neural Networks (CNNs) to improve performance. However, CNNs …
deep Convolutional Neural Networks (CNNs) to improve performance. However, CNNs …
Frequency-based enhancement network for efficient super-resolution
Recently, deep convolutional neural networks (CNNs) have provided outstanding
performance in single image super-resolution (SISR). Despite their remarkable …
performance in single image super-resolution (SISR). Despite their remarkable …
Towards Efficient and Robust Convolutional Neural Networks for Single Image Super-Resolution
P Behjati - 2022 - ddd.uab.cat
La superresolució d'imatge única (SISR) és una tasca important en el processament
d'imatges, que té com a objectiu millorar la resolució dels sistemes d'imatges. Recentment …
d'imatges, que té com a objectiu millorar la resolució dels sistemes d'imatges. Recentment …
[PDF][PDF] A Generative Model for Guided Thermal Image Super-Resolution
This paper presents a novel approach for thermal super-resolution based on a fusion prior,
low-resolution thermal image and H brightness channel of the corresponding visible …
low-resolution thermal image and H brightness channel of the corresponding visible …