214 citations · 427 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…
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…
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…
Convolutional Neural Network Architecture for Recovering Watermark Synchronization
Wook-Hyung Kim, Jong-Uk Hou, Seung-Min Mun +1
Since real-time contents can be captured and downloaded very easily, copyright infringement has become a serious problem. In order to reduce the loss caused by copyright infringeme…
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…
Learning deep features for source color laser printer identification based on cascaded learning
Do-Guk Kim, Jong-Uk Hou, Heung-Kyu Lee
Color laser printers have fast printing speed and high resolution, and forgeries using color laser printers can cause significant harm to society. A source printer identification t…
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…