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 …

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 …

Aperiodic, clustered-dot, halftone patterns have recently become popular for commercial
printing of continuous-tone images with laser, electrophotographic presses, because of their …

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 …

Fingerprints are the most popular and widely practiced biometric trait for human recognition
and authentication. Due to the wide approval, reliable fingerprint template generation and …

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 …

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 …

In this paper we investigate applying two deep generative models to digital halftoning with
the aim of generating halftones with comparable quality to those generated with the direct …

In this paper, we propose an inverse halftoning method based on Invertible Neural Network
(INN), using grayscale images and halftone images as paired inputs for training. The …

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 …