Dong-Hoon Lim
Papers
1
Total Citations
2
H-Index
1
About
Dong-Hoon Lim is a researcher whose work centers on image processing and fusion techniques, with a particular focus on wavelet-based methods for enhancing multi-sensor imagery. His most-cited paper, "Robust Image Fusion Using Stationary Wavelet Transform" (2011), addresses a critical limitation in traditional wavelet-based fusion: the lack of translation invariance in the discrete wavelet transform, which often introduces blocking artifacts in fused images. Lim’s contribution lies in applying the stationary wavelet transform to overcome this issue, proposing a fusion framework that uses activity measures like standard deviation in high-frequency subbands and pixel averaging in low-frequency subbands. This work, with 2 citations, provides a more robust approach for applications in medical imaging, military surveillance, and remote sensing. While his citation count is modest, Lim’s research offers practical improvements for generating clearer, artifact-free fused images from multiple sources. His work is particularly relevant for students and researchers exploring advanced wavelet transforms and their real-world applications in multi-modal image integration, where preserving fine details and spatial consistency is paramount.
Research Focus
Key Achievements
Top Papers
- 1Robust Image Fusion Using Stationary Wavelet Transform2 citations · 2011