Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …

Recent works on plug-and-play image restoration have shown that a denoiser can implicitly
serve as the image prior for model-based methods to solve many inverse problems. Such a …

Learning-based single image super-resolution (SISR) methods are continuously showing
superior effectiveness and efficiency over traditional model-based methods, largely due to …

Image acquisition technology is improving very fast from a performance point of view.
However, there are physical restrictions that can only be solved using software processing …

Abstract Plug-and-Play (PnP) methods solve ill-posed inverse problems through iterative
proximal algorithms by replacing a proximal operator by a denoising operation. When …

Super-resolution (SR) brings an excellent opportunity to improve a wide range of different
remote sensing applications. SR techniques are concerned about increasing the image …

Hyperspectral image super-resolution addresses the problem of fusing a low-resolution
hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to …

This paper presents a multiband image fusion algorithm based on unsupervised spectral
unmixing for combining a high-spatial-low-spectral-resolution image and a low-spatial-high …

The resolution of dental computed tomography (CT) images is limited by detector geometry,
sensitivity, patient movement, the reconstruction technique and the need to minimize …

Existing deep blind image super-resolution (SR) methods usually depend on the paired
training data, which is difficult to obtain in real applications. In this paper, we propose an …