Super-Resolution of Color Halftone Images Using Convolutional Neural Networks

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 Enhan...

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Autors principals:	Guilherme Apolinario Silva Novaes, Hae Yong Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Halftone convolutional neural networks deep learning up-sampling super-resolution
Accés en línia:	https://ieeexplore.ieee.org/document/10387444/
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