Super-Resolution of Color Halftone Images Using Convolutional Neural Networks

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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Bibliographic Details
Main Authors: Guilherme Apolinario Silva Novaes, Hae Yong Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Halftone
convolutional neural networks
deep learning
up-sampling
super-resolution
Online Access:https://ieeexplore.ieee.org/document/10387444/

Internet

https://ieeexplore.ieee.org/document/10387444/

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