Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning

Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning

Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model require residual layers with a small output range for fast convergence and visual quality improvement. However, in inverse ha...

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Bibliographic Details
Main Author: Chang-Hwan Son
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
inverse halftoning
image decomposition
residual learning
multiresolution
Online Access:https://www.mdpi.com/2076-3417/11/15/7006

Internet

https://www.mdpi.com/2076-3417/11/15/7006

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