Image Colour Prediction using Deep learning

Abstract

Any image we perceive through a screen is made of three separate channels, R, G, and B. With the help of these three channels; an image comes to colour. Any pictures taken during the old times were in grayscale format. To convert any given grayscale image into colour, we need the help of a photoshop professional, which might take hours of the workforce. In a revolution to this, we propose an utterly programmed methodology that produces lively and practical colourizations. Generative adversarial networks are an unsupervised learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input file to get an output. In our case, a grayscale image can be converted to colour with the help of GANs.