Gede Bayu Suparta
Papers
1
Total Citations
18
H-Index
1
About
Gede Bayu Suparta is a leading figure in digital image processing and wavelet-based compression techniques, with a career dedicated to bridging the gap between advanced computational methods and practical human needs. His most influential work, "Compression Ratio and Peak Signal to Noise Ratio in Grayscale Image Compression using Wavelet" (2011, 18 citations), provides foundational insights into optimizing the trade-off between file size reduction and image quality—a critical challenge in an era of exploding multimedia data. By rigorously analyzing compression ratios and peak signal-to-noise ratios, Suparta has helped engineers and researchers design more efficient systems for everything from household appliances to space-exploration robots. His research directly addresses the exponential growth of digital information, ensuring that computers can manage vast datasets without sacrificing visual fidelity. Suparta’s contributions are particularly valuable for students and practitioners seeking to understand the quantitative benchmarks that drive real-world image compression, making his work a cornerstone for those developing technologies that touch every aspect of modern life.
Research Focus
Key Achievements
Top Papers
- 1