163 citations · 185 across the 5 of their papers we have counts for
6 papers
InvZW: Invariant Feature Learning via Noise-Adversarial Training for Robust Image Zero-Watermarking
Abdullah All Tanvir, Frank Y. Shih, Xin Zhong
This paper introduces a novel deep learning framework for robust image zero-watermarking based on distortion-invariant feature learning. As a zero-watermarking scheme, our method l…
Perspective Transformation Layer
Nishan Khatri, Agnibh Dasgupta, Yucong Shen +2
Incorporating geometric transformations that reflect the relative position changes between an observer and an object into computer vision and deep learning models has attracted muc…
An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks
Xin Zhong, Pei-Chi Huang, Spyridon Mastorakis +1
Digital image watermarking is the process of embedding and extracting a watermark covertly on a cover-image. To dynamically adapt image watermarking algorithms, deep learning-based…
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz
Xin Zhong, Frank Y. Shih, Xiwang Guo
Image segmentation as a clustering problem is to identify pixel groups on an image without any preliminary labels available. It remains a challenge in machine vision because of the…
Deep Morphological Neural Networks
Yucong Shen, Xin Zhong, Frank Y. Shih
Mathematical morphology is a theory and technique to collect features like geometric and topological structures in digital images. Given a target image, determining suitable morpho…
A Robust Image Watermarking System Based on Deep Neural Networks
Xin Zhong, Frank Y. Shih
Digital image watermarking is the process of embedding and extracting watermark covertly on a carrier image. Incorporating deep learning networks with image watermarking has attrac…