Deep learning for image colorization: Current and future prospects

S Huang, X Jin, Q Jiang, L Liu - Engineering Applications of Artificial …, 2022 - Elsevier
Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …

Black and White Image Colorization Using Convolutional Neural Networks

K Revathi, MAS Kumar, S Karthikeya… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Colorization of black and white images has become increasingly important with the advent
of high-quality and high-resolution pictures in modern-day life. This project proposes a …

An effective architecture for Image colorization using Adaptive GAN

NV Ravindhar, K Akshaya, P Ramadevi… - 2023 International …, 2023 - ieeexplore.ieee.org
More attention has recently been paid to image colorization. In order to produce realistic
results, traditional reference-based methods frequently rely on external colour pictures. An …

Colourify: Image Colourization using AI techniques

E Deepta, N Juyal, K Pareek, B Jha… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Converting a grayscale image into a coloured one is known as image colourization. This is a
challenging task that needs human assistance to produce high-quality photos. Our model …

Fine-grained high-resolution image colorization of black and white images

M Jindal, C Gugalia, SG Winster - AIP Conference Proceedings, 2024 - pubs.aip.org
The paper proposes a method for converting grayscale photos to colorful images using
Generative Adversarial Networks (GANs) and U-Net architecture in the context of deep …

Alternate Approach to GAN Model for Colorization of Grayscale Images: Deeper U-Net+ GAN

S Lee - Proceedings of the Future Technologies Conference, 2022 - Springer
Image colorization refers to applying appropriate colors in a given grayscale image, such
that the viewer can accept the results as close to reality. By analyzing existing colorization …