Seung-Hyo Kang
Papers
1
Total Citations
2
H-Index
1
About
Seung-Hyo Kang is a researcher whose work centers on image fusion and wavelet-based signal processing. His primary contribution, detailed in his most-cited paper, addresses a critical limitation in traditional image fusion techniques. Kang proposed a robust method using the Stationary Wavelet Transform (SWT) to overcome the translation-invariance problem inherent in the Discrete Wavelet Transform (DWT). While DWT-based fusion often introduces block artifacts, Kang’s SWT approach preserves spatial consistency, yielding higher-quality fused images for applications in medical imaging, remote sensing, and military surveillance. His work systematically improves upon conventional activity measures—such as standard deviation for high-frequency bands and pixel averaging for low-frequency bands—by leveraging SWT’s redundancy for better feature preservation. Although his citation count is modest, Kang’s research provides a foundational improvement in image fusion methodology, offering a practical solution to a well-known artifact problem. His work is particularly valuable for students and engineers seeking robust, artifact-free fusion in multi-sensor environments.
Research Focus
Key Achievements
Top Papers
- 1Robust Image Fusion Using Stationary Wavelet Transform2 citations · 2011