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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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2024-03-01
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| Serier: | IET Image Processing |
| Fag: | |
| Online adgang: | https://doi.org/10.1049/ipr2.12998 |
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