May 26, 2019 · Particularly, it contains two modules: Content Aggregation that removes the halftone patterns and reconstructs the continuous tone firstly, and ...
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What is the inverse halftoning method?
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TensorFlow Implementation of our paper "Deep Inverse Halftoning via Progressively Residual Learning" accepted to ACCV 2018. Results. Preparation. You can apply ...
To exploit features as completely as possible, we propose a Progressively Residual Learning (PRL) network that synthesizes the global tone and subtle details ...
Inverse Halftoning Method based on U-structure Net (called IH-UNet) [26] is first proposed, which can remove the halftone noise dots well, but the image ...
Mar 23, 2020 · INDEX TERMS Deep convolutional neural network, inverse halftoning, image expanding, residual learning ... parts of our progressive residual ...
Missing: Progressively | Show results with:Progressively
May 27, 2023 · Abstract:Image inverse halftoning is a classic image restoration task, aiming to recover continuous-tone images from halftone images with ...
Missing: Deep | Show results with:Deep
This work introduces deep learning technology to tackle two traditional low-level image processing problems, companding and inverse halftoning and develops ...
The inverse halftoning method based on deep neural network has been widely studied in last few years. However, the existing methods only apply single-size ...
Our code is based on BicycleGAN and we re-implement Deep Inverse Halftoning via Progressively Residual Learning in Pytorch for inverse halftone network.
This paper proposed a classification method for inverse halftoning methods on the basis of the source of halftone images, and studied existing image quality ...