This study explores the relationship between surface defect imaging in deep-water concrete
dams and the wavelength of the light source, aiming to improve concrete defect image …

In this paper, we propose a scribble-based video colorization network with temporal
aggregation called SVCNet. It can colorize monochrome videos based on different user …

In recent years, the research of image colorization based on deep learning has made great
progress. Most of the existing methods have achieved impressive colorizing performance …

High dynamic range imaging (HDRI) is an essential task in remote sensing, enhancing low
dynamic range (LDR) remote sensing images and benefiting downstream tasks, such as …

Colorizing grayscale videos is a challenging task that involves adding colors to
monochromatic videos to make them appear as natural and realistic as possible, despite the …

Lasers have become an important technology for the medical treatment of cancer. However,
the high power of visible laser knives makes conventional endoscopic imaging light …

This paper introduces a novel Convolutional Neural Network (CNN) architecture for image
colorization. We review existing research, identifying key progress and persistent challenges …

In order to adjust the local color style of real images in a simple and low-threshold way, and
to maintain the harmony of the image and the real effect of the content, this paper proposes …