2024
DOI: 10.1109/access.2024.3352431
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Super-Resolution of Color Halftone Images Using Convolutional Neural Networks

Guilherme Apolinario Silva Novaes,
Hae Yong Kim

Abstract: In this work, we investigate how to increase the resolution of color halftone images using convolutional neural networks (CNNs). As far as we know, this is the first work that increases resolution of color halftone images using a CNN-based solution. For this task, we first train the well-known Enhanced Deep Super-Resolution (EDSR) network with halftone images to obtain the Halftone-EDSR model. We argue that it is not possible to use conventional data augmentation techniques in this problem, due to the peculiar… Show more

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