214 citations · 425 across the 8 of their papers we have counts for
8 papers
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu +2
Detecting and localizing image manipulation are necessary to counter malicious use of image editing techniques. Accordingly, it is essential to distinguish between authentic and ta…
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon +2
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices. Double compression is acco…
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
Minseok Yoon, Seung-Hun Nam, In-Jae Yu +3
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate videos without leaving prominent visual traces. Frame-rate up-conversion (FRUC), a…
From Attack to Protection: Leveraging Watermarking Attack Network for Advanced Add-on Watermarking
Seung-Hun Nam, Jihyeon Kang, Daesik Kim +2
Multi-bit watermarking (MW) has been designed to enhance resistance against watermarking attacks, such as signal processing operations and geometric distortions. Various benchmark…
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu +3
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content. To maintain visually impor…
BitMix: Data Augmentation for Image Steganalysis
In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam +1
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks. The major employed concept is to us…
Robust curvelet domain watermarking technique that preserves cleanness of high quality images
Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang +1
Watermarking inserts invisible data into content to protect copyright. The embedded information provides proof of authorship and facilitates tracking illegal distribution, etc. Cur…
A Robust Blind Watermarking Using Convolutional Neural Network
Seung-Min Mun, Seung-Hun Nam, Han-Ul Jang +2
This paper introduces a blind watermarking based on a convolutional neural network (CNN). We propose an iterative learning framework to secure robustness of watermarking. One loop…