Image Colorization Using Auto Encoders

Image colorization is a useful technique in various fields such as photography, art, and design. It can be used to restore old photos or add color to artistic renditions of real-world scenes and objects to make them appear more natural. It is a challenging task because it requires the model to understand the context and semantics of the image to predict accurate colors. The code uses a convolutional neural network (CNN) to predict the color of each pixel in an image based on its surrounding pixels. These techniques can be used for the restoration of old black and white photos. By colorizing these photos, they can be brought to life and preserved for future generations. This paper can benefit various domains such as art, history, and education. For instance, museums and historians can use this proposed method to enrich their collections and documents by adding color.