J
Jiwon Lee
Researcher at KAIST
Publications - 47
Citations - 474
Jiwon Lee is an academic researcher from KAIST. The author has contributed to research in topics: Digital watermarking & Computer science. The author has an hindex of 11, co-authored 33 publications receiving 345 citations.
Papers
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Journal ArticleDOI
Robust DT-CWT Watermarking for DIBR 3D Images
TL;DR: This paper proposes a robust watermarking scheme for DIBR 3D images by quantization on dual-tree complex wavelet transform (DT-CWT) coefficients with consideration of imperceptibility, which is robust to pre-processing of the depth image and baseline adjusting.
Journal ArticleDOI
A 1.4-m $\Omega$ -Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System
Minseo Kim,Jaeeun Jang,Hyunki Kim,Jihee Lee,Jaehyuck Lee,Jiwon Lee,Kyoung-Rog Lee,Kwantae Kim,Yongsu Lee,Kyuho Jason Lee,Hoi-Jun Yoo +10 more
TL;DR: A wearable electrical impedance tomography (EIT) system is proposed for the portable real-time 3-D lung ventilation monitoring, and EIT images are reconstructed with 90% of accuracy, and up to 10 frames/s real- Time Difference lung images are successfully displayed.
Proceedings ArticleDOI
Perceptual Watermarking for 3D Stereoscopic Video Using Depth Information
TL;DR: Experimental results prove that the proposed 3D video watermarking which focuses on perceptual embedding has less affect on the perceptibility when watching 3D videos and is robust against lossy compression and adding Gaussian noise.
Journal ArticleDOI
A Four-Camera VGA-Resolution Capsule Endoscope System With 80-Mb/s Body Channel Communication Transceiver and Sub-Centimeter Range Capsule Localization
Jaeeun Jang,Jihee Lee,Kyoung-Rog Lee,Jiwon Lee,Minseo Kim,Yongsu Lee,Joonsung Bae,Hoi-Jun Yoo +7 more
TL;DR: A small form-factor, lightweight wireless capsule endoscope (WCE) system with body channel communication (BCC) transceiver ICs is proposed for VGA-resolution image transferring and capsule localization.
Journal ArticleDOI
Region-based tampering detection and recovery using homogeneity analysis in quality-sensitive imaging
TL;DR: A region-based tampering detection and restoring scheme that exploits both lossless (reversible) data hiding and image homogeneity analysis for image authentication and integrity verification is presented.