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 …

Low-light image enhancement is important for high-quality image display and other visual
applications. However, it is a challenging task as the enhancement is expected to improve …

In this paper, we propose a novel deep convolutional neural network to solve the general
multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems. Different …

Image fusion plays a critical role in a variety of vision and learning applications. Current
fusion approaches are designed to characterize source images, focusing on a certain type of …

Feature matching, which refers to establishing reliable correspondence between two sets of
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …

In this paper, we propose an image filter based on fuzzy gradient threshold function and
global optimization, termed as gradientlet filter, from the perspective of luminance and …

Image smoothing is a fundamental procedure in applications of both computer vision and
graphics. The required smoothing properties can be different or even contradictive among …

Imaging systems with temporal resolution play a vital role in a diverse range of scientific,
industrial, and consumer applications, eg, fluorescent lifetime imaging in microscopy and …

For multi-modal image processing, network interpretability is essential due to the
complicated dependency across modalities. Recently, a promising research direction for …

We present a novel computational imaging system with high resolution and low noise. Our
system consists of a traditional video camera which captures high-resolution intensity …