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An inverse halftoning method based on supervised deep convolutional neural network

Abstract Inverse halftoning is a technology that converts a binary image into a continuous tone image. Due to the wide application of inverse halftoning, many scholars have proposed several deep convolutional neural networks (DCNN) to optimize their performance. According to the observation, there i...

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Detalles Bibliográficos
Principais autores: Mei Li, Qi Liu
Formato: Artigo
Idioma:Inglês
Publicado: Wiley 2024-03-01
Series:IET Image Processing
Assuntos:
Acceso en liña:https://doi.org/10.1049/ipr2.12998
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