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 …

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 is a technology to restore a continuous-tone image from its halftone
version. Recent works based on deep convolutional neural network (DCNN) have shown …

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 …

Deep learning models hold state-of-the-art performance in many fields, but their vulnerability
to adversarial examples poses a threat to their ubiquitous deployment in practical settings …