publié le: 2023
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locat...
Pansharpening strives to improve the spatial resolution of multi-spectral images while maintaining spectral fidelity. However, existing methods usuall...
Blind super-resolution (SR) usually involves two sub-problems: (1) estimating the degradation of the given low-resolution (LR) image; (2) super-resolv...
Despite remarkable success has been achieved by convolutional neural networks (CNNs) in no-reference image quality assessment (NR-IQA), there still ex...
Despite the proved effectiveness of deep learning models in solving complex problems, the melanoma diagnosis remains as a challenging task mainly due...