Deep halftoning with reversible binary pattern
Existing halftoning algorithms usually drop colors and fine details when dithering color
images with binary dot patterns, which makes it extremely difficult to recover the original …
images with binary dot patterns, which makes it extremely difficult to recover the original …
Image companding and inverse halftoning using deep convolutional neural networks
In this paper, we introduce deep learning technology to tackle two traditional low-level
image processing problems, companding and inverse halftoning. We make two main …
image processing problems, companding and inverse halftoning. We make two main …
Local learned dictionaries optimized to edge orientation for inverse halftoning
A method is proposed for fully restoring local image structures of an unknown continuous-
tone patch from an input halftoned patch with homogenously distributed dot patterns, based …
tone patch from an input halftoned patch with homogenously distributed dot patterns, based …
Deep inverse halftoning via progressively residual learning
Inverse halftoning as a classic problem has been investigated in the last two decades,
however, it is still a challenge to recover the continuous version with accurate details from …
however, it is still a challenge to recover the continuous version with accurate details from …
Inverse halftoning through structure-aware deep convolutional neural networks
CH Son - Signal Processing, 2020 - Elsevier
The primary issue in inverse halftoning is removing noisy dots on flat areas and restoring
image structures (eg, lines, patterns) on textured areas. Hence, a new structure-aware deep …
image structures (eg, lines, patterns) on textured areas. Hence, a new structure-aware deep …
Image inverse halftoning and descreening: a review
F Zhang, X Zhang - Multimedia Tools and Applications, 2019 - Springer
With the development of computer technology and network technology, a large amount of
printed documents are converted to the electronic documents and spread on internet. When …
printed documents are converted to the electronic documents and spread on internet. When …
Sparsity-based inverse halftoning via semi-coupled multi-dictionary learning and structural clustering
Inverse halftoning is the restoration of a continuous-tone image from its halftone version,
which is a critical process for halftone transform, digital archive management and high …
which is a critical process for halftone transform, digital archive management and high …
An efficient convolutional neural network model combined with attention mechanism for inverse halftoning
L Shao, E Zhang, M Li - Electronics, 2021 - mdpi.com
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 …
Although it has been studied in the last several decades, the existing solutions can't restore …
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels
The pursuit of smaller pixel sizes at ever increasing resolution in digital image sensors is
mainly driven by the stringent price and form-factor requirements of sensors and optics in the …
mainly driven by the stringent price and form-factor requirements of sensors and optics in the …
Deep learning based inverse halftoning via stationary wavelet domain
HPA Wicaksono, H Prasetyo… - 2020 27th International …, 2020 - ieeexplore.ieee.org
Inverse halftoning aims to reconstructs the continuous-tone image, ie 255 discrete color
levels from its halftone image. The main challenge of inverse halftoning task is on removing …
levels from its halftone image. The main challenge of inverse halftoning task is on removing …