Colorizing a given gray-level image is an important task in the media and advertising
industry. Due to the ambiguity inherent to colorization (many shades are often plausible) …

Image colorization technique is used to colorize the gray-level image or single-channel
image, which is a very significant and challenging task in image processing, especially the …

Image colorization refers to a computer-assisted process that adds colors to grayscale
images. It is a challenging task since there is usually no one-to-one correspondence …

Legacy grayscale aerial photographs represent one of the main available sources for
studying the past state of the environment and its relationship to the present. However, these …

The colorization of grayscale images is a challenging task in image processing. Recently,
deep learning has shown remarkable performance in image colorization. However, the …

Colorization is the computer-assisted application of color to a gray scale image, which
presents two problems to modern deep learning-based approaches. One is to provide …

In recent years, there has been a growing demand for the colorization of remote sensing
images due to their inherent limitations caused by remote sensors, such as hazy or noisy …

The demand for re-colorization of remote sensing images is urgent since image quality is
extremely deteriorated by haze or other noises occurring in the atmospheric layer. The most …

Person re-identification is the technique of identifying the same person in different camera
shots, known as ReID for short. Most existing models focus on single-modality person re …

With the development of deep neural networks, especially generation networks, gray image
coloring technology has made great progress. As one of the fields, remote sensing image …