A Review of Grayscale Image Colorization Application With Neural Network Based Model

project
Dec 2021

This paper reviews various neural network-based models for grayscale image colorization, focusing on CNN, GAN, and DNN-based techniques. It highlights the evolution of these methods and discusses their application in real-world scenarios.

  • The paper provides an in-depth analysis of the techniques used in grayscale image colorization, particularly focusing on the advancements in neural network-based models. It covers the historical context, the development of various models like CNN, GAN, and DNN, and their effectiveness in colorizing grayscale images. The paper also explores the practical applications of these techniques in different domains.
    • Image Colorization
    • Neural Networks
    • CNN
    • GAN
    • DNN
    Paper