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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Detalhes bibliográficos

Principais autores:	Mei Li, Qi Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-03-01
coleção:	IET Image Processing
Assuntos:	image processing image reconstruction model inverse halftone image inverse halftoning method multi‐level feature extraction model
Acesso em linha:	https://doi.org/10.1049/ipr2.12998
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