From face to natural image: Learning real degradation for blind image super-resolution
How to design proper training pairs is critical for super-resolving real-world low-quality (LQ)
images, which suffers from the difficulties in either acquiring paired ground-truth high-quality …
images, which suffers from the difficulties in either acquiring paired ground-truth high-quality …
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 …
Inverse halftoning methods based on deep learning and their evaluation metrics: A review
M Li, E Zhang, Y Wang, J Duan, C **g - Applied Sciences, 2020 - mdpi.com
Inverse halftoning is an ill-posed problem that refers to the problem of restoring continuous-
tone images from their halftone versions. Although much progress has been achieved over …
tone images from their halftone versions. Although much progress has been achieved over …
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 inverse halftoning method for various types of halftone images based on multi-scale generative adversarial network
E Zhang, M Li, Q Zhang, L Wu, L Shao - Engineering Applications of …, 2023 - Elsevier
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 convolution kernel to …
last few years. However, the existing methods only apply single-size convolution kernel to …
A multistage and multiresolution deep convolutional neural network for inverse halftoning
M Li, E Zhang, L Wu, J Duan - Expert Systems with Applications, 2022 - Elsevier
Inverse halftoning is a technology to restore a continuous-tone image from its halftone
version. Recent works based on deep convolutional neural network (DCNN) have shown …
version. Recent works based on deep convolutional neural network (DCNN) have shown …