Hyunho Ha

Papers

Total Citations

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About

Hyunho Ha is a researcher whose work centers on image processing and fusion techniques, with a particular focus on wavelet-based methods for enhancing multi-source imagery. His most cited paper, "Robust Image Fusion Using Stationary Wavelet Transform" (2011), addresses a critical limitation in conventional wavelet-based fusion: the lack of translation invariance in the discrete wavelet transform, which often introduces block artifacts in fused images. By employing the stationary wavelet transform, Ha’s approach preserves spatial consistency and improves fusion quality, making it highly relevant for applications in medical imaging, remote sensing, and military surveillance. Although his citation count is modest—with this key paper garnering 2 citations—the work demonstrates foundational thinking in robust image reconstruction, where the goal is to combine complementary features from multiple images into a single, information-rich output. Ha’s contributions are particularly valuable for researchers exploring artifact-free fusion under non-ideal conditions. His research underscores the importance of transform selection in multi-modal image integration, offering a practical solution that balances computational efficiency with visual fidelity. For students and researchers in computer vision or signal processing, Ha’s work provides a clear entry point into understanding how wavelet properties directly impact real-world imaging applications.