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 …

Global structure and local detailed texture have different effects on image enhancement
tasks. However, most existing works treated these two components in the same way, without …

Synthetic aperture radar (SAR) ship detection based on deep learning has the advantages
of high accuracy and end-to-end processing, which has received more and more attention …

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 …

Point-interactive image colorization aims to colorize grayscale images when a user provides
the colors for specific locations. It is essential for point-interactive colorization methods to …

Synthetic aperture radar (SAR) image change detection (CD) is an important application in
the field of remote sensing. Due to the lack of labeled data especially in the pixelwise task, it …

Deep neural networks for automatic image colorization often suffer from the color-bleeding
artifact, a problematic color spreading near the boundaries between adjacent objects. Such …

Most traditional infrared and visible image fusion methods often ignore weak texture details,
especially for the low-light visible images in which the weak details are easily drowned due …

Convolutional neural networks (CNNs) designed for object recognition have been
successfully applied to low-level tasks such as image filtering. However, these networks are …

Transmission line fault detection using drones provides real-time assessment of the
operational status of transmission equipment, and therefore it has immense importance in …