Skip To Main Content
Joongjin Kook on Muck Rack

Joongjin Kook

As seen in: MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Joongjin

Contact Joongjin, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

DRRU-Net: DCT-Coefficient-Learning RRU-Net for Detecting an Image-Splicing Forgery

|
By Youngmin Seo, Joongjin Kook
| MDPI
Abstract : In this paper, we propose a lightweight deep learning network (DRRU-Net) for image-splicing forgery detection. DRRU-Net is an architecture that combines RRU-Net for learning the visual content of images and image acquisition artifacts, and a JPEG artifact learning module for learning compression artifacts in the discrete cosine transform (DCT) domain.
Open in Who Shared Issue with article?

CREBAS: Computer-Based REBA Evaluation System for Wood Manufacturers Using MediaPipe

|
By Joongjin Kook, Seong-oh Jeong
| MDPI
2.2. Posture Estimation Techniques The most commonly used method in vision-based posture estimation technology is a method using depth. Kinect, released by Microsoft in 2010, is the most representative method. Kinect is a device that can extract a person’s posture by using a depth information extraction method through an infrared beam projector and a monochrome Complementary Metal-Oxide-Semiconductor (CMOS) sensor.
Open in Who Shared Issue with article?
See all 2 articles