An Efficient Convolutional Neural Network Model Combined with Attention Mechanism for Inverse Halftoning
Inverse halftoning acting as a special image restoration problem is an ill-posed problem. Although it has been studied in the last several decades, the existing solutions can’t restore fine details and texture accurately from halftone images. Recently, the attention mechanism has shown its powerful...
Main Authors: | Linhao Shao, Erhu Zhang, Mei Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/13/1574 |
Similar Items
-
An inverse halftoning method based on supervised deep convolutional neural network
by: Mei Li, et al.
Published: (2024-03-01) -
Inverse Halftoning Methods Based on Deep Learning and Their Evaluation Metrics: A Review
by: Mei Li, et al.
Published: (2020-02-01) -
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning
by: Chang-Hwan Son
Published: (2021-07-01) -
Gradient-Guided Residual Learning for Inverse Halftoning and Image Expanding
by: Jin Yuan, et al.
Published: (2020-01-01) -
Color Inverse Halftoning Method with the Correlation of Multi-Color Components Based on Extreme Learning Machine
by: Erhu Zhang, et al.
Published: (2019-02-01)