Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

Pan-sharpening aims to generate high-resolution multi-spectral (MS) images by fusing PAN
images and low-resolution MS images. Despite its great advances, most existing pan …

As recognized, the ground-truth multispectral (MS) images possess the complementary
information (eg, high-frequency components) of low-resolution (LR) MS images, which can …

Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing,
aims to upsample low-resolution (LR) depth maps with additional information involved in …

Integrating an RGB camera into a ToF imaging system has become a significant technique
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …

Pan-sharpening aims to generate high-spatial resolution multi-spectral (MS) image by fusing
high-spatial resolution panchromatic (PAN) image and its corresponding low-spatial …

It is generally known that pan-sharpening is fundamentally a PAN-guided multispectral (MS)
image super-resolution problem that involves learning the nonlinear mapping from low …

Pansharpening is an essential preprocessing step for remote sensing image processing.
Although deep learning (DL) approaches performed well on this task, current upsampling …

The goal of pan-sharpening is to produce a high-spatial-resolution multispectral (HRMS)
image from a low-spatial-resolution multispectral (LRMS) counterpart by super-resolving the …

Pan-sharpening is essentially a panchromatic (PAN) image-guided low-spatial resolution
MS image super-resolution problem. The commonly challenging issue of pan-sharpening is …