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arXiv · 1604.07904

Image Colorization Using a Deep Convolutional Neural Network

Tung Nguyen·Kazuki Mori·Ruck Thawonmas
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Abstract

In this paper, we present a novel approach that uses deep learning techniques for colorizing grayscale images. By utilizing a pre-trained convolutional neural network, which is originally designed for image classification, we are able to separate content and style of different images and recombine them into a single image. We then propose a method that can add colors to a grayscale image by combining its content with style of a color image having semantic similarity with the grayscale one. As an application, to our knowledge the first of its kind, we use the proposed method to colorize images of ukiyo-e a genre of Japanese painting?and obtain interesting results, showing the potential of this method in the growing field of computer assisted art.

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Tung Nguyen, Kazuki Mori, Ruck Thawonmas. 2016-04-27. Image Colorization Using a Deep Convolutional Neural Network. https://arxiv.org/abs/1604.07904

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