Названия:
BLACK AND WHITE COLORIZATION OF IMAGES
Автор:
Eziz Jorayev, Agagovshut Akmyradov, Rahman Myradov, Sapartach Hojabalkanova
Расположение страниц:
168-172
Язык:
Английский
Аннотация:
The process of black and white image colorization involves converting grayscale images into their full-color versions using computational algorithms. This article explores the various techniques, primarily focusing on deep learning models such as Convolutional Neural Networks (CNNs), to colorize black and white images automatically. The methodology section discusses the preprocessing, model design, training, and evaluation processes involved in the colorization task. The results section compares traditional methods with modern AI-driven techniques, highlighting the potential benefits and challenges. Finally, the article concludes with an outlook on future developments in black and white image colorization.